diff --git a/data/raw/ObesityDataSet_raw_and_data_sinthetic.csv b/data/raw/ObesityDataSet_raw_and_data_sinthetic.csv
new file mode 100644
index 0000000000000000000000000000000000000000..b75c5e7bd02c85a37a6a342a1e26d39548dc6b8d
--- /dev/null
+++ b/data/raw/ObesityDataSet_raw_and_data_sinthetic.csv
@@ -0,0 +1,2112 @@
+Gender,Age,Height,Weight,family_history_with_overweight,FAVC,FCVC,NCP,CAEC,SMOKE,CH2O,SCC,FAF,TUE,CALC,MTRANS,NObeyesdad
+Female,21,1.62,64,yes,no,2,3,Sometimes,no,2,no,0,1,no,Public_Transportation,Normal_Weight
+Female,21,1.52,56,yes,no,3,3,Sometimes,yes,3,yes,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.8,77,yes,no,2,3,Sometimes,no,2,no,2,1,Frequently,Public_Transportation,Normal_Weight
+Male,27,1.8,87,no,no,3,3,Sometimes,no,2,no,2,0,Frequently,Walking,Overweight_Level_I
+Male,22,1.78,89.8,no,no,2,1,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,29,1.62,53,no,yes,2,3,Sometimes,no,2,no,0,0,Sometimes,Automobile,Normal_Weight
+Female,23,1.5,55,yes,yes,3,3,Sometimes,no,2,no,1,0,Sometimes,Motorbike,Normal_Weight
+Male,22,1.64,53,no,no,2,3,Sometimes,no,2,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,24,1.78,64,yes,yes,3,3,Sometimes,no,2,no,1,1,Frequently,Public_Transportation,Normal_Weight
+Male,22,1.72,68,yes,yes,2,3,Sometimes,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Male,26,1.85,105,yes,yes,3,3,Frequently,no,3,no,2,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,21,1.72,80,yes,yes,2,3,Frequently,no,2,yes,2,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22,1.65,56,no,no,3,3,Sometimes,no,3,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Male,41,1.8,99,no,yes,2,3,Sometimes,no,2,no,2,1,Frequently,Automobile,Obesity_Type_I
+Male,23,1.77,60,yes,yes,3,1,Sometimes,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.7,66,yes,no,3,3,Always,no,2,yes,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,27,1.93,102,yes,yes,2,1,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Female,29,1.53,78,no,yes,2,1,Sometimes,no,2,no,0,0,no,Automobile,Obesity_Type_I
+Female,30,1.71,82,yes,yes,3,4,Frequently,yes,1,no,0,0,no,Automobile,Overweight_Level_II
+Female,23,1.65,70,yes,no,2,1,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22,1.65,80,yes,no,2,3,Sometimes,no,2,no,3,2,no,Walking,Overweight_Level_II
+Female,52,1.69,87,yes,yes,3,1,Sometimes,yes,2,no,0,0,no,Automobile,Obesity_Type_I
+Female,22,1.65,60,yes,yes,3,3,Sometimes,no,2,no,1,0,Sometimes,Automobile,Normal_Weight
+Female,22,1.6,82,yes,yes,1,1,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21,1.85,68,yes,yes,2,3,Sometimes,no,2,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.6,50,yes,no,2,4,Frequently,yes,2,no,3,2,no,Public_Transportation,Normal_Weight
+Male,21,1.7,65,yes,yes,2,1,Frequently,no,2,no,1,2,Always,Walking,Normal_Weight
+Female,23,1.6,52,no,yes,2,4,Frequently,no,2,no,2,1,Sometimes,Automobile,Normal_Weight
+Male,19,1.75,76,yes,yes,3,3,Sometimes,no,2,yes,3,1,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.68,70,no,yes,2,3,Sometimes,no,2,no,2,2,Frequently,Walking,Normal_Weight
+Male,29,1.77,83,no,yes,1,4,Frequently,no,3,no,0,1,no,Motorbike,Overweight_Level_I
+Female,31,1.58,68,yes,no,2,1,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Female,24,1.77,76,no,no,2,3,Sometimes,no,3,no,1,1,Sometimes,Walking,Normal_Weight
+Male,39,1.79,90,no,no,2,1,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22,1.65,62,no,yes,2,4,Frequently,no,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,21,1.5,65,yes,no,2,3,Sometimes,no,2,no,2,2,Sometimes,Public_Transportation,Overweight_Level_II
+Female,22,1.56,49,no,yes,2,3,Sometimes,no,1,yes,2,0,no,Walking,Normal_Weight
+Female,21,1.6,48,no,yes,2,3,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.65,67,yes,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,21,1.75,88,yes,yes,2,3,Sometimes,no,3,no,3,0,Sometimes,Public_Transportation,Overweight_Level_II
+Female,21,1.67,75,yes,yes,2,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,23,1.68,60,no,no,2,4,Frequently,no,2,no,0,0,no,Walking,Normal_Weight
+Female,21,1.66,64,yes,yes,1,3,Sometimes,no,1,no,0,0,no,Public_Transportation,Normal_Weight
+Male,21,1.66,62,yes,yes,2,3,Sometimes,yes,2,no,1,1,Frequently,Public_Transportation,Normal_Weight
+Male,21,1.81,80,no,no,1,3,no,no,2,no,2,0,no,Public_Transportation,Normal_Weight
+Female,21,1.53,65,yes,no,2,3,Sometimes,no,1,no,0,1,no,Public_Transportation,Overweight_Level_II
+Male,21,1.82,72,yes,yes,1,3,Frequently,no,3,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Male,21,1.75,72,yes,yes,1,3,Frequently,no,3,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,20,1.66,60,yes,no,3,3,Sometimes,no,2,no,1,0,Sometimes,Walking,Normal_Weight
+Female,21,1.55,50,no,yes,2,3,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,21,1.61,54.5,yes,yes,3,3,Sometimes,no,3,no,0,1,Sometimes,Walking,Normal_Weight
+Female,20,1.5,44,no,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Normal_Weight
+Female,23,1.64,52,no,yes,3,1,Sometimes,no,2,no,2,2,no,Public_Transportation,Normal_Weight
+Female,23,1.63,55,yes,no,3,3,no,no,2,yes,2,1,no,Public_Transportation,Normal_Weight
+Female,22,1.6,55,no,no,3,4,Always,no,3,no,2,0,no,Public_Transportation,Normal_Weight
+Male,23,1.68,62,no,no,2,4,Frequently,no,2,no,0,0,Sometimes,Automobile,Normal_Weight
+Male,22,1.7,70,yes,yes,2,3,Sometimes,no,1,no,0,1,Sometimes,Automobile,Normal_Weight
+Male,21,1.64,65,yes,no,2,3,Sometimes,no,1,no,0,1,no,Public_Transportation,Normal_Weight
+Female,17,1.65,67,yes,yes,3,1,Sometimes,no,2,no,1,1,no,Walking,Normal_Weight
+Male,20,1.76,55,yes,yes,2,4,Sometimes,no,3,no,2,2,no,Public_Transportation,Insufficient_Weight
+Female,21,1.55,49,yes,yes,2,3,Sometimes,no,3,no,3,1,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.65,58,no,yes,2,3,Sometimes,no,2,no,3,1,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.67,62,no,yes,2,1,no,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.68,55,yes,yes,2,3,Sometimes,no,2,no,0,2,Sometimes,Automobile,Normal_Weight
+Female,21,1.66,57,yes,yes,2,3,Frequently,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Female,21,1.62,69,yes,yes,1,3,Frequently,no,2,no,0,1,no,Public_Transportation,Overweight_Level_I
+Male,23,1.8,90,yes,yes,1,3,Always,no,2,no,0,2,Frequently,Public_Transportation,Overweight_Level_II
+Male,23,1.65,95,yes,yes,2,3,Always,no,2,no,0,1,Frequently,Automobile,Obesity_Type_I
+Male,30,1.76,112,yes,yes,1,3,no,yes,2,yes,0,0,Frequently,Automobile,Obesity_Type_II
+Male,23,1.8,60,yes,no,2,3,no,no,3,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Female,23,1.65,80,yes,yes,2,3,Always,no,2,no,0,2,no,Public_Transportation,Overweight_Level_II
+Female,22,1.67,50,yes,no,3,3,no,no,3,yes,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,24,1.65,60,yes,no,2,3,Sometimes,no,3,yes,1,0,no,Public_Transportation,Normal_Weight
+Male,19,1.85,65,yes,no,2,3,Sometimes,no,3,no,2,1,Sometimes,Bike,Normal_Weight
+Male,24,1.7,85,yes,yes,2,3,Frequently,no,3,no,0,1,Frequently,Public_Transportation,Overweight_Level_II
+Female,23,1.63,45,yes,no,3,3,Sometimes,no,3,yes,2,0,no,Public_Transportation,Insufficient_Weight
+Female,24,1.6,45,yes,no,2,3,no,no,2,no,1,0,no,Public_Transportation,Insufficient_Weight
+Female,24,1.7,80,yes,yes,2,3,Sometimes,no,3,no,0,0,no,Public_Transportation,Overweight_Level_II
+Female,23,1.65,90,yes,yes,2,3,Sometimes,no,3,no,0,1,no,Public_Transportation,Obesity_Type_I
+Male,23,1.65,60,yes,no,2,3,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,19,1.63,58,no,no,3,3,Sometimes,no,2,yes,0,0,no,Public_Transportation,Normal_Weight
+Male,30,1.8,91,yes,yes,2,3,Frequently,no,2,no,0,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23,1.67,85.5,yes,yes,2,3,Always,no,2,no,0,1,no,Public_Transportation,Obesity_Type_I
+Female,19,1.6,45,no,no,3,3,no,no,3,yes,2,0,no,Walking,Insufficient_Weight
+Male,25,1.7,83,yes,yes,2,3,Frequently,no,2,no,0,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23,1.65,58.5,yes,no,2,3,Sometimes,no,2,no,0,0,no,Public_Transportation,Normal_Weight
+Male,21,1.85,83,yes,yes,2,1,Frequently,no,3,no,1,0,no,Public_Transportation,Normal_Weight
+Male,19,1.82,87,yes,yes,2,3,Sometimes,no,2,no,0,0,no,Public_Transportation,Overweight_Level_I
+Female,22,1.65,65,yes,yes,2,3,Frequently,no,2,yes,1,0,no,Automobile,Normal_Weight
+Female,29,1.7,78,yes,yes,3,3,Sometimes,no,1,no,2,1,Frequently,Automobile,Overweight_Level_II
+Female,25,1.63,93,no,no,3,4,Always,no,1,no,2,0,no,Public_Transportation,Obesity_Type_II
+Female,20,1.61,64,yes,no,3,3,Always,no,2,yes,0,1,Frequently,Public_Transportation,Normal_Weight
+Male,55,1.78,84,yes,no,3,4,Frequently,no,3,yes,3,0,Frequently,Walking,Overweight_Level_I
+Female,20,1.6,57,no,no,3,3,Always,no,2,no,1,0,no,Walking,Normal_Weight
+Female,24,1.6,48,no,yes,3,3,Sometimes,no,2,no,2,0,no,Public_Transportation,Normal_Weight
+Male,26,1.7,70,yes,no,3,1,Frequently,no,2,no,2,0,Frequently,Public_Transportation,Normal_Weight
+Female,23,1.66,60,yes,no,2,3,Sometimes,no,2,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Female,21,1.52,42,no,no,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21,1.52,42,no,no,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Male,23,1.72,70,no,no,2,3,Sometimes,no,2,no,3,1,Frequently,Public_Transportation,Normal_Weight
+Female,21,1.69,63,no,yes,3,1,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.7,66.4,yes,no,2,3,Frequently,no,2,no,0,0,no,Public_Transportation,Normal_Weight
+Female,21,1.55,57,no,yes,2,4,Frequently,no,2,yes,2,0,Sometimes,Automobile,Normal_Weight
+Female,22,1.65,58,yes,yes,3,4,Frequently,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Female,38,1.56,80,yes,yes,2,3,Sometimes,no,2,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,25,1.57,55,no,yes,2,1,Sometimes,no,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,25,1.57,55,no,yes,2,1,Sometimes,no,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.88,90,yes,yes,2,3,Always,no,1,no,0,1,Sometimes,Automobile,Overweight_Level_I
+Male,22,1.75,95,yes,no,2,3,Sometimes,no,3,no,3,2,no,Walking,Obesity_Type_I
+Female,21,1.65,88,yes,yes,3,1,Sometimes,no,3,no,2,1,no,Public_Transportation,Obesity_Type_I
+Male,21,1.75,75,yes,yes,3,3,Sometimes,no,2,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.58,58,yes,yes,2,1,Sometimes,no,1,no,0,0,no,Public_Transportation,Normal_Weight
+Female,18,1.56,51,yes,yes,2,4,Frequently,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.5,49,yes,no,2,1,Sometimes,no,2,no,3,0,no,Walking,Normal_Weight
+Female,19,1.61,62,yes,yes,3,1,Frequently,no,2,no,1,0,Frequently,Public_Transportation,Normal_Weight
+Female,17,1.75,57,yes,yes,3,3,Frequently,no,2,no,0,1,no,Public_Transportation,Normal_Weight
+Female,15,1.65,86,yes,yes,3,3,Sometimes,no,1,no,3,2,no,Walking,Obesity_Type_I
+Female,17,1.7,85,yes,no,2,3,Frequently,no,2,no,1,1,no,Public_Transportation,Overweight_Level_II
+Male,23,1.62,53,yes,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,19,1.63,76,yes,no,3,3,Frequently,yes,3,no,2,1,Sometimes,Automobile,Overweight_Level_II
+Female,23,1.67,75,yes,yes,2,3,Frequently,yes,2,no,0,2,no,Walking,Overweight_Level_I
+Male,23,1.87,95,yes,yes,1,3,Frequently,no,2,no,0,2,Frequently,Public_Transportation,Overweight_Level_II
+Male,21,1.75,50,yes,no,3,4,Frequently,no,1,no,1,0,no,Walking,Insufficient_Weight
+Male,24,1.66,67,yes,yes,3,1,Sometimes,no,2,no,1,0,no,Public_Transportation,Normal_Weight
+Male,23,1.76,90,no,yes,3,3,Sometimes,no,1,no,0,0,no,Public_Transportation,Overweight_Level_II
+Male,18,1.75,80,yes,yes,2,3,Always,no,2,no,0,0,Frequently,Public_Transportation,Overweight_Level_I
+Male,19,1.67,68,no,yes,2,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Female,19,1.65,61,no,yes,3,1,Sometimes,no,3,yes,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.72,70,yes,yes,3,3,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,27,1.7,78,no,yes,3,3,Sometimes,no,3,no,1,1,Frequently,Public_Transportation,Overweight_Level_II
+Female,20,1.58,53,yes,yes,2,4,Frequently,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Male,23,1.62,58,no,no,2,3,Sometimes,no,1,no,1,0,no,Public_Transportation,Normal_Weight
+Female,19,1.65,56,yes,yes,3,3,Frequently,yes,3,yes,1,2,Frequently,Public_Transportation,Normal_Weight
+Female,61,1.65,66,no,yes,3,3,Always,no,2,no,1,1,Frequently,Public_Transportation,Normal_Weight
+Male,30,1.77,109,yes,yes,3,3,Sometimes,no,1,no,2,0,Sometimes,Automobile,Obesity_Type_I
+Male,24,1.7,75,yes,yes,2,3,Sometimes,no,2,no,1,0,Sometimes,Automobile,Overweight_Level_I
+Male,25,1.79,72,yes,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,44,1.6,80,yes,no,2,3,Sometimes,yes,3,no,0,0,no,Motorbike,Obesity_Type_I
+Male,31,1.76,75,yes,no,3,3,Always,no,3,yes,3,0,no,Bike,Normal_Weight
+Male,25,1.7,68,no,yes,2,3,Frequently,no,2,no,0,1,no,Public_Transportation,Normal_Weight
+Male,23,1.89,65,yes,yes,3,3,Frequently,no,3,no,1,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,25,1.87,66,no,yes,3,3,Always,no,2,no,2,0,Frequently,Public_Transportation,Normal_Weight
+Male,23,1.74,93.5,no,yes,2,3,Frequently,yes,1,no,1,1,Frequently,Automobile,Obesity_Type_I
+Female,34,1.68,75,no,yes,3,1,Sometimes,no,1,no,0,0,Sometimes,Automobile,Overweight_Level_I
+Male,22,1.61,67,yes,no,2,4,Sometimes,no,3,yes,2,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,24,1.56,51,no,no,3,3,Frequently,no,2,no,2,2,Frequently,Public_Transportation,Normal_Weight
+Female,36,1.63,80,yes,no,3,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,27,1.6,61,no,yes,3,3,Always,no,2,no,0,0,Sometimes,Automobile,Normal_Weight
+Female,32,1.67,90,yes,yes,3,1,Sometimes,no,2,no,2,0,Sometimes,Automobile,Obesity_Type_I
+Male,25,1.78,78,yes,yes,2,1,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Female,30,1.62,59,yes,yes,3,3,Sometimes,no,2,no,2,0,Sometimes,Automobile,Normal_Weight
+Female,38,1.5,60,yes,yes,2,1,Always,yes,2,no,0,0,Sometimes,Automobile,Overweight_Level_I
+Male,34,1.69,84,yes,no,2,3,Sometimes,no,3,no,2,0,no,Automobile,Overweight_Level_II
+Male,22,1.74,94,yes,yes,2,3,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Obesity_Type_I
+Female,31,1.68,63,yes,yes,3,1,Frequently,no,2,no,1,1,Sometimes,Automobile,Normal_Weight
+Female,35,1.53,45,yes,no,3,3,Frequently,no,1,no,0,1,no,Automobile,Normal_Weight
+Male,21,1.67,60,yes,yes,2,3,Frequently,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Female,40,1.55,62,yes,no,3,3,Sometimes,no,3,no,0,0,Sometimes,Automobile,Overweight_Level_I
+Male,27,1.64,78,yes,yes,2,1,Sometimes,no,2,no,0,0,Frequently,Automobile,Overweight_Level_II
+Male,20,1.83,72,yes,no,3,3,Sometimes,yes,1,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,55,1.65,80,no,yes,2,3,Sometimes,no,2,no,1,0,no,Automobile,Overweight_Level_II
+Female,21,1.63,60,yes,yes,3,3,Always,yes,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Male,25,1.89,75,no,no,3,3,Frequently,no,2,yes,3,0,no,Public_Transportation,Normal_Weight
+Male,35,1.77,85,yes,no,3,3,Frequently,no,3,no,2,1,Sometimes,Automobile,Overweight_Level_II
+Male,30,1.92,130,yes,no,2,3,Sometimes,yes,1,no,1,0,Sometimes,Public_Transportation,Obesity_Type_II
+Female,29,1.74,72,yes,no,3,3,Always,no,2,no,0,0,Sometimes,Automobile,Normal_Weight
+Male,20,1.65,80,yes,no,2,3,Sometimes,no,2,no,1,2,no,Walking,Overweight_Level_II
+Female,22,1.73,79,yes,yes,2,1,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,45,1.63,77,yes,yes,2,3,Frequently,no,1,no,0,0,no,Automobile,Overweight_Level_II
+Male,22,1.72,82,no,yes,2,1,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18,1.6,58,yes,yes,2,3,Frequently,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Female,23,1.65,59,no,no,3,1,Sometimes,no,2,no,1,2,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.74,64,no,no,3,3,Sometimes,no,2,yes,0,1,no,Public_Transportation,Normal_Weight
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,38,1.64,59.8,yes,yes,2,3,Sometimes,no,2,no,2,0,no,Public_Transportation,Normal_Weight
+Female,18,1.57,48,yes,yes,3,1,Always,no,1,no,1,0,no,Public_Transportation,Normal_Weight
+Male,22,1.84,84,yes,yes,3,3,Frequently,no,2,yes,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,26,1.91,84,yes,yes,3,3,Frequently,yes,2,no,2,2,Frequently,Public_Transportation,Normal_Weight
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18,1.58,48,no,yes,2,3,Sometimes,no,2,no,1,0,no,Public_Transportation,Normal_Weight
+Female,23,1.68,67,yes,yes,2,3,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.68,52,no,yes,3,3,Frequently,no,2,no,0,1,no,Public_Transportation,Insufficient_Weight
+Female,23,1.48,60,yes,yes,2,1,Sometimes,yes,1,no,0,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,31,1.62,68,no,no,3,3,Sometimes,no,2,no,1,0,Sometimes,Automobile,Overweight_Level_I
+Male,39,1.78,96,yes,no,2,3,Sometimes,no,3,no,1,0,Frequently,Automobile,Obesity_Type_I
+Male,25,1.78,98,yes,no,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Male,35,1.78,105,yes,yes,3,1,no,no,3,no,3,1,Frequently,Automobile,Obesity_Type_I
+Female,33,1.63,62,yes,yes,2,3,Sometimes,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Male,20,1.6,56,no,yes,2,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,26,1.75,80,yes,yes,3,1,Frequently,yes,2,yes,2,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,20,1.83,85,yes,no,3,3,Sometimes,no,3,yes,3,0,Sometimes,Automobile,Overweight_Level_I
+Male,20,1.78,68,no,no,2,1,Frequently,no,3,yes,2,1,no,Public_Transportation,Normal_Weight
+Female,23,1.6,83,yes,yes,3,3,Frequently,no,3,no,3,0,no,Public_Transportation,Obesity_Type_I
+Male,19,1.8,85,yes,yes,3,3,Sometimes,no,2,no,1,1,Sometimes,Walking,Overweight_Level_I
+Male,22,1.75,74,yes,no,2,3,Sometimes,no,2,no,1,2,Sometimes,Bike,Normal_Weight
+Male,41,1.75,118,yes,yes,2,3,Sometimes,no,2,no,0,0,Sometimes,Bike,Obesity_Type_II
+Female,18,1.59,40,yes,yes,2,1,Frequently,no,1,no,0,2,no,Public_Transportation,Insufficient_Weight
+Female,23,1.66,60,yes,yes,2,1,Sometimes,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,23,1.63,83,yes,no,3,1,Sometimes,yes,3,no,1,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,41,1.54,80,yes,yes,2,3,Always,no,1,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,26,1.56,102,yes,yes,3,3,Sometimes,yes,1,no,0,1,Sometimes,Public_Transportation,Obesity_Type_III
+Male,29,1.69,90,yes,no,2,3,Sometimes,no,3,no,1,0,Sometimes,Automobile,Obesity_Type_I
+Male,27,1.83,71,yes,yes,2,3,Sometimes,no,2,no,3,2,no,Automobile,Normal_Weight
+Female,23,1.6,78,yes,yes,2,1,Sometimes,yes,2,no,1,0,Frequently,Public_Transportation,Obesity_Type_I
+Male,19,1.75,100,yes,yes,2,3,Frequently,no,2,no,2,0,no,Public_Transportation,Obesity_Type_I
+Male,30,1.75,73,yes,no,2,3,no,no,2,yes,1,0,Sometimes,Walking,Normal_Weight
+Female,22,1.69,65,yes,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.69,65,yes,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.8,114,yes,yes,2,3,Frequently,no,2,no,0,1,no,Public_Transportation,Obesity_Type_II
+Female,21,1.63,51,no,yes,2,1,Sometimes,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Female,24,1.5,63,yes,no,2,1,Sometimes,no,2,no,0,0,no,Public_Transportation,Overweight_Level_II
+Male,21,1.8,62,yes,yes,3,3,Sometimes,no,2,no,1,0,no,Public_Transportation,Normal_Weight
+Male,21,1.65,53,yes,yes,2,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,21,1.68,70,yes,yes,3,3,Sometimes,no,3,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Female,23,1.6,63,yes,no,3,3,Frequently,no,2,no,3,0,Sometimes,Walking,Normal_Weight
+Male,21,1.71,75,no,no,2,3,Frequently,no,3,yes,3,1,Frequently,Automobile,Overweight_Level_I
+Female,21,1.5,42.3,yes,no,1,1,Sometimes,no,2,no,3,0,no,Public_Transportation,Normal_Weight
+Female,21,1.6,68,yes,yes,2,3,Sometimes,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.75,78,yes,no,2,3,Frequently,no,2,yes,0,2,Frequently,Public_Transportation,Overweight_Level_I
+Male,23,1.72,82,yes,yes,2,1,Sometimes,no,1,no,1,1,Sometimes,Public_Transportation,Overweight_Level_II
+Female,21,1.72,66.5,yes,yes,3,4,Always,no,3,no,0,2,no,Public_Transportation,Normal_Weight
+Female,22,1.61,63,yes,yes,3,3,Frequently,no,3,no,1,0,no,Public_Transportation,Normal_Weight
+Female,23,1.63,82,yes,yes,2,1,Sometimes,no,2,no,0,0,no,Public_Transportation,Obesity_Type_I
+Male,25,1.83,121,yes,no,3,3,Sometimes,no,3,no,2,0,Sometimes,Walking,Obesity_Type_II
+Female,20,1.6,50,no,yes,2,3,Sometimes,no,1,no,0,1,no,Automobile,Normal_Weight
+Female,24,1.62,58,no,yes,3,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,40,1.68,80,no,no,3,3,Sometimes,no,3,no,0,0,no,Automobile,Overweight_Level_II
+Male,32,1.75,120,yes,no,3,3,Sometimes,no,3,no,0,2,no,Automobile,Obesity_Type_II
+Male,20,1.9,91,yes,yes,3,4,Sometimes,no,3,no,2,0,Sometimes,Walking,Overweight_Level_I
+Female,21,1.63,66,yes,yes,3,1,Sometimes,yes,3,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,51,1.59,50,yes,no,3,3,Sometimes,yes,3,yes,2,0,no,Public_Transportation,Normal_Weight
+Female,34,1.68,77,yes,no,3,1,Sometimes,no,2,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,19,1.59,49,yes,yes,2,1,no,no,2,no,2,0,no,Public_Transportation,Normal_Weight
+Female,19,1.69,70,yes,no,2,1,no,no,2,no,2,0,no,Public_Transportation,Normal_Weight
+Female,21,1.66,59,no,yes,1,3,Always,no,2,yes,3,0,no,Automobile,Normal_Weight
+Female,19,1.64,53,yes,yes,3,3,Sometimes,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Female,20,1.62,53,no,yes,3,1,Sometimes,no,3,no,1,1,no,Public_Transportation,Normal_Weight
+Female,19,1.7,64,yes,yes,3,3,no,no,3,yes,3,1,no,Public_Transportation,Normal_Weight
+Female,17,1.63,65,no,yes,2,1,Sometimes,no,3,no,1,1,no,Public_Transportation,Normal_Weight
+Male,22,1.6,66,no,yes,3,3,Sometimes,no,2,no,3,0,no,Bike,Overweight_Level_I
+Female,20,1.63,64,yes,yes,1,3,Always,no,2,no,0,2,no,Automobile,Normal_Weight
+Male,33,1.85,99,yes,yes,2,3,Sometimes,yes,3,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,21,1.54,49,yes,no,2,1,Sometimes,no,2,yes,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,20,1.64,49,no,no,3,3,Sometimes,yes,2,no,2,1,Sometimes,Automobile,Insufficient_Weight
+Female,20,1.57,60,no,yes,3,3,Sometimes,no,3,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Female,20,1.62,52,no,yes,3,3,Frequently,no,1,no,3,1,no,Automobile,Normal_Weight
+Male,21,1.72,72,yes,yes,3,3,Always,no,3,yes,3,0,Sometimes,Automobile,Normal_Weight
+Male,21,1.76,78,yes,yes,3,1,Sometimes,no,2,no,3,0,Sometimes,Walking,Overweight_Level_I
+Female,20,1.65,75,yes,yes,3,1,Sometimes,no,2,no,1,1,no,Public_Transportation,Overweight_Level_II
+Male,20,1.67,78,yes,no,2,1,Sometimes,no,3,no,0,0,Frequently,Automobile,Overweight_Level_II
+Male,56,1.79,90,yes,no,2,3,Sometimes,yes,2,no,1,0,Frequently,Automobile,Overweight_Level_II
+Female,26,1.59,47,yes,yes,2,1,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Female,22,1.64,56,yes,no,3,3,Sometimes,no,2,no,0,0,no,Public_Transportation,Normal_Weight
+Male,19,1.78,81,yes,no,1,3,Sometimes,no,2,no,3,0,no,Bike,Overweight_Level_I
+Male,18,1.75,85,yes,no,2,3,Sometimes,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19,1.85,115,no,no,2,3,Sometimes,no,3,yes,1,2,no,Public_Transportation,Obesity_Type_I
+Male,18,1.7,80,no,no,3,1,Sometimes,no,1,no,1,0,no,Public_Transportation,Overweight_Level_II
+Female,18,1.67,91,yes,yes,1,3,Frequently,no,1,no,0,1,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21,1.72,75,no,yes,2,3,Sometimes,no,1,no,1,0,no,Public_Transportation,Overweight_Level_I
+Female,28,1.7,73,yes,no,2,3,Frequently,no,2,yes,2,0,Sometimes,Walking,Overweight_Level_I
+Male,18,1.74,70,no,yes,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.74,53,no,yes,2,3,Frequently,no,1,no,3,2,no,Public_Transportation,Insufficient_Weight
+Male,18,1.87,67,yes,yes,3,3,Frequently,no,3,yes,1,1,Sometimes,Automobile,Normal_Weight
+Male,18,1.7,50,no,yes,1,3,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,39,1.65,50,no,yes,3,4,Frequently,no,2,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Male,38,1.7,78,no,yes,3,3,Frequently,no,2,no,0,0,Frequently,Automobile,Overweight_Level_II
+Male,17,1.67,60,no,no,2,4,Always,no,2,no,0,2,no,Public_Transportation,Normal_Weight
+Male,23,1.72,66,yes,yes,2,3,Sometimes,no,2,no,0,1,Sometimes,Walking,Normal_Weight
+Male,23,1.82,107,no,yes,2,3,Sometimes,no,3,no,0,1,Sometimes,Public_Transportation,Obesity_Type_I
+Female,19,1.5,50,no,yes,2,3,Frequently,no,1,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.7,60,no,yes,2,3,Sometimes,no,2,no,2,1,no,Public_Transportation,Normal_Weight
+Male,25,1.71,71,yes,yes,2,3,Frequently,no,2,no,0,0,Sometimes,Motorbike,Normal_Weight
+Female,25,1.61,61,no,no,2,3,Sometimes,no,1,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.5,50,yes,yes,3,3,Frequently,no,2,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Male,16,1.67,50,yes,yes,2,1,Frequently,no,3,no,1,0,no,Public_Transportation,Insufficient_Weight
+Male,21,1.82,67,no,yes,2,4,Always,yes,3,no,3,2,Sometimes,Walking,Normal_Weight
+Female,32,1.57,57,yes,yes,3,3,Sometimes,no,2,no,0,0,Sometimes,Automobile,Normal_Weight
+Male,18,1.79,52,no,no,3,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,21,1.75,62,no,yes,3,4,Frequently,yes,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.7,55,yes,yes,2,3,Frequently,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.62,55,yes,yes,2,3,Frequently,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Male,17,1.69,60,no,no,2,3,Sometimes,no,3,no,2,1,Sometimes,Walking,Normal_Weight
+Male,20,1.77,70,yes,yes,1,1,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,21,1.79,105,yes,yes,2,3,Always,no,1,no,0,0,Sometimes,Public_Transportation,Obesity_Type_I
+Female,21,1.6,61,no,yes,2,3,Sometimes,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.6,58,yes,yes,2,3,Sometimes,no,3,no,3,0,no,Public_Transportation,Normal_Weight
+Female,17,1.56,51,no,yes,3,3,Sometimes,no,1,no,0,2,no,Public_Transportation,Normal_Weight
+Male,19,1.88,79,no,no,2,3,Sometimes,no,3,no,3,0,Sometimes,Automobile,Normal_Weight
+Male,16,1.82,71,yes,yes,2,3,Frequently,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,17,1.8,58,no,yes,2,3,Frequently,no,2,no,2,1,no,Walking,Insufficient_Weight
+Male,21,1.7,65,yes,yes,2,3,Frequently,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Male,19,1.82,75,yes,no,2,3,Frequently,no,2,no,1,0,no,Public_Transportation,Normal_Weight
+Male,18,1.86,110,yes,yes,2,1,Sometimes,yes,2,no,1,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,16,1.66,58,no,no,2,1,Sometimes,no,1,no,0,1,no,Walking,Normal_Weight
+Female,21,1.53,53,no,yes,3,3,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,26,1.74,80,no,no,2,3,Sometimes,no,2,no,2,0,no,Automobile,Overweight_Level_I
+Male,18,1.8,80,yes,yes,2,3,Frequently,no,1,no,0,1,Frequently,Public_Transportation,Normal_Weight
+Male,23,1.7,75,no,yes,3,3,Sometimes,no,3,no,1,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,26,1.7,70,no,yes,2,3,Sometimes,yes,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.72,55,no,yes,2,4,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,16,1.84,45,yes,yes,3,3,Always,no,3,no,3,2,Sometimes,Walking,Insufficient_Weight
+Female,16,1.57,49,no,yes,2,4,Always,no,2,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.8,85,yes,no,2,3,Sometimes,no,3,no,2,1,Sometimes,Public_Transportation,Overweight_Level_I
+Male,23,1.75,120,yes,yes,2,3,Sometimes,yes,2,no,2,1,Sometimes,Public_Transportation,Obesity_Type_II
+Female,24,1.56,60,yes,yes,1,3,Always,no,2,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Female,23,1.59,48,yes,yes,2,1,Frequently,no,1,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.8,75,no,yes,3,4,Always,no,3,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,16,1.66,58,no,no,2,1,Sometimes,no,1,no,0,1,no,Walking,Normal_Weight
+Male,17,1.79,57,yes,yes,2,4,Frequently,no,2,no,2,1,no,Public_Transportation,Insufficient_Weight
+Male,17,1.72,62,no,yes,2,3,Always,no,2,no,3,1,no,Public_Transportation,Normal_Weight
+Female,16,1.6,57,no,yes,3,3,Sometimes,no,1,no,3,0,no,Public_Transportation,Normal_Weight
+Male,17,1.66,56,yes,yes,1,3,Always,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,26,1.65,63,no,yes,3,3,Sometimes,no,1,no,1,0,no,Walking,Normal_Weight
+Male,26,1.7,72,no,yes,2,3,Always,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,38,1.75,75,yes,no,3,3,Frequently,no,1,no,2,1,no,Automobile,Normal_Weight
+Male,18,1.75,70,no,yes,3,4,Sometimes,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Female,25,1.56,45,no,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,27,1.55,63,no,yes,2,3,Sometimes,no,1,no,0,1,Sometimes,Automobile,Overweight_Level_I
+Male,21,1.67,67,yes,yes,3,1,Always,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Male,38,1.75,75,yes,no,3,3,Frequently,no,1,no,3,1,no,Automobile,Normal_Weight
+Female,23,1.75,56,no,no,3,3,Frequently,no,2,no,2,0,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.8,72,yes,yes,2,3,Sometimes,no,2,no,3,0,Sometimes,Automobile,Normal_Weight
+Female,30,1.65,71,yes,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.55,58,no,yes,2,1,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.7,55.3,yes,yes,3,3,Sometimes,no,2,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.72,76,yes,no,3,4,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19,1.74,74,yes,no,3,1,Sometimes,no,3,no,3,1,Sometimes,Walking,Normal_Weight
+Female,19,1.65,82,yes,yes,3,3,Sometimes,no,1,no,0,1,Sometimes,Public_Transportation,Obesity_Type_I
+Female,17,1.8,50,no,yes,3,4,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17,1.74,56,yes,yes,2,3,Sometimes,no,2,no,2,1,no,Public_Transportation,Normal_Weight
+Male,27,1.85,75,yes,yes,2,1,Sometimes,no,2,no,1,0,no,Walking,Normal_Weight
+Female,23,1.7,56,no,no,3,4,Always,no,3,yes,3,0,no,Automobile,Normal_Weight
+Female,18,1.45,53,no,yes,2,3,Frequently,no,2,yes,1,2,Frequently,Public_Transportation,Overweight_Level_I
+Male,19,1.7,50,no,yes,1,4,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,20,1.7,65,no,yes,2,3,Sometimes,no,2,no,0,1,no,Public_Transportation,Normal_Weight
+Male,18,1.78,64.4,yes,yes,3,3,Frequently,no,2,no,3,2,no,Walking,Normal_Weight
+Female,17,1.6,65,no,yes,3,1,Sometimes,no,2,yes,1,2,Sometimes,Public_Transportation,Overweight_Level_I
+Female,19,1.53,42,no,no,2,3,Sometimes,no,1,yes,2,0,Frequently,Public_Transportation,Insufficient_Weight
+Male,21,1.8,72,no,yes,3,3,Sometimes,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Male,20,1.6,50,no,no,2,3,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.74,105,yes,yes,3,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.65,66,no,no,3,3,Sometimes,no,2,no,3,0,no,Public_Transportation,Normal_Weight
+Male,18,1.87,173,yes,yes,3,3,Frequently,no,2,no,2,1,Sometimes,Public_Transportation,Obesity_Type_III
+Male,17,1.7,55,no,yes,3,3,Always,no,2,no,3,1,Sometimes,Public_Transportation,Normal_Weight
+Female,21,1.54,47,yes,no,3,3,Always,no,1,no,2,0,no,Public_Transportation,Normal_Weight
+Male,17,1.8,97,yes,yes,2,3,Sometimes,no,3,no,1,1,Sometimes,Walking,Overweight_Level_II
+Male,18,1.82,80,yes,yes,2,3,Sometimes,no,2,no,3,2,no,Walking,Normal_Weight
+Male,20,1.98,125,yes,yes,2,3,Always,no,3,no,1,1,Sometimes,Public_Transportation,Obesity_Type_I
+Male,17,1.75,70,yes,no,2,3,Sometimes,no,1,no,3,2,Sometimes,Walking,Normal_Weight
+Female,26,1.65,60,no,no,3,4,Always,no,2,no,2,0,no,Walking,Normal_Weight
+Female,17,1.6,53,no,yes,1,3,Sometimes,no,1,no,2,2,Sometimes,Walking,Normal_Weight
+Female,24,1.6,51,yes,yes,1,3,Sometimes,no,2,no,0,1,Sometimes,Automobile,Normal_Weight
+Female,17,1.6,59,no,yes,2,3,Sometimes,no,2,no,1,2,no,Public_Transportation,Normal_Weight
+Female,27,1.55,62,no,yes,3,1,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,17,1.9,60,no,no,3,3,Sometimes,no,2,no,3,1,no,Walking,Insufficient_Weight
+Female,17,1.7,56,yes,yes,1,3,Sometimes,no,1,no,1,1,no,Automobile,Normal_Weight
+Male,41,1.75,110,yes,no,2,1,Sometimes,no,1,no,1,0,Frequently,Automobile,Obesity_Type_II
+Female,33,1.56,48,yes,no,2,3,Sometimes,no,2,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.87,75,no,yes,2,3,Frequently,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,40,1.56,80,yes,yes,2,1,Sometimes,no,2,no,2,0,no,Public_Transportation,Obesity_Type_I
+Female,37,1.65,73,yes,no,3,3,Sometimes,no,2,no,1,0,Sometimes,Automobile,Overweight_Level_I
+Male,19,1.8,80,no,yes,2,1,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,24,1.84,86,yes,yes,2,1,Always,no,2,no,2,1,Sometimes,Public_Transportation,Overweight_Level_I
+Male,24,1.7,68,no,yes,3,3,Sometimes,no,2,no,0,0,Sometimes,Motorbike,Normal_Weight
+Male,33,1.72,83,yes,yes,2,1,Sometimes,no,2,no,3,0,Sometimes,Automobile,Overweight_Level_II
+Female,40,1.58,63,no,yes,2,3,Frequently,no,2,no,3,1,Sometimes,Public_Transportation,Overweight_Level_I
+Female,37,1.68,83,yes,yes,2,1,Sometimes,no,2,no,0,0,no,Automobile,Overweight_Level_II
+Male,20,1.58,74,no,no,3,3,Frequently,no,2,no,3,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19,1.8,60,no,yes,2,3,Sometimes,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Male,17,1.62,69,yes,yes,3,1,Always,no,2,yes,1,2,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18,1.62,58,no,yes,3,3,Sometimes,no,1,no,0,2,no,Automobile,Normal_Weight
+Female,21,1.54,56,no,yes,2,1,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.76,70,yes,yes,2,4,Frequently,no,2,no,2,1,Sometimes,Automobile,Normal_Weight
+Male,41,1.8,92,yes,yes,2,1,Frequently,no,3,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,36,1.58,60,yes,no,3,3,Sometimes,no,1,no,2,0,Sometimes,Automobile,Normal_Weight
+Male,18,1.76,68,no,no,2,4,Frequently,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.73,70,no,yes,3,3,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,17,1.7,70,yes,yes,3,3,Sometimes,no,2,no,0,2,Sometimes,Walking,Normal_Weight
+Male,25,1.7,83,no,yes,3,3,Sometimes,no,3,yes,3,0,no,Motorbike,Overweight_Level_II
+Male,21,1.8,75,yes,yes,3,3,Frequently,no,1,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,29,1.6,56,yes,no,2,3,Frequently,no,1,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Male,17,1.7,98,yes,no,2,3,Sometimes,no,2,no,0,1,Sometimes,Automobile,Obesity_Type_I
+Female,18,1.6,60,yes,yes,3,1,Sometimes,no,1,yes,0,2,no,Walking,Normal_Weight
+Female,16,1.55,45,no,yes,2,3,Frequently,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Female,18,1.59,53,no,no,1,3,Sometimes,no,1,no,1,2,no,Public_Transportation,Normal_Weight
+Female,37,1.5,75,yes,yes,2,3,Frequently,no,1,no,0,0,Sometimes,Motorbike,Obesity_Type_I
+Male,18,1.78,108,yes,no,2,3,Sometimes,no,3,no,1,0,no,Public_Transportation,Obesity_Type_I
+Female,16,1.61,65,yes,yes,1,1,Sometimes,no,2,no,0,0,no,Public_Transportation,Overweight_Level_I
+Male,23,1.71,50,yes,yes,2,3,Always,no,3,no,0,2,no,Public_Transportation,Insufficient_Weight
+Female,18,1.7,50,no,no,2,3,Sometimes,no,2,no,0,1,Sometimes,Walking,Insufficient_Weight
+Male,18,1.76,69.5,no,no,3,3,Frequently,no,3,no,2,2,no,Public_Transportation,Normal_Weight
+Male,18,1.7,78,no,yes,1,3,Sometimes,no,2,no,0,1,Sometimes,Public_Transportation,Overweight_Level_II
+Female,17,1.53,55,yes,yes,2,3,Sometimes,no,1,no,0,1,no,Public_Transportation,Normal_Weight
+Female,20,1.54,39,yes,yes,1,3,Sometimes,no,2,no,3,2,Sometimes,Public_Transportation,Insufficient_Weight
+Female,38,1.55,59,yes,no,3,3,Sometimes,no,1,no,2,1,Frequently,Automobile,Normal_Weight
+Male,20,1.66,60,no,yes,2,4,Frequently,no,3,no,0,0,no,Public_Transportation,Normal_Weight
+Male,21,1.85,125,yes,yes,3,1,Always,no,1,no,0,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,21,1.65,60,no,no,3,1,Frequently,no,1,no,0,0,Sometimes,Motorbike,Normal_Weight
+Male,18,1.65,70,yes,no,2,3,Sometimes,no,2,no,0,0,no,Public_Transportation,Overweight_Level_I
+Male,26,1.83,82,no,yes,2,3,Always,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,27,1.83,99,yes,yes,3,1,Frequently,no,2,no,2,1,Sometimes,Walking,Overweight_Level_II
+Female,26,1.66,112,yes,no,3,3,Sometimes,no,3,no,0,0,no,Automobile,Obesity_Type_III
+Male,34,1.78,73,no,yes,2,3,Sometimes,no,2,no,3,1,Sometimes,Automobile,Normal_Weight
+Male,18,1.74,86,no,no,3,3,Sometimes,no,2,no,3,0,no,Public_Transportation,Overweight_Level_II
+Male,33,1.76,66.5,no,no,2,3,Sometimes,no,2,no,3,1,Sometimes,Automobile,Normal_Weight
+Female,19,1.51,59,yes,yes,3,3,Frequently,no,1,no,1,2,Sometimes,Walking,Overweight_Level_I
+Male,20,1.81,79,yes,no,3,1,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Female,33,1.55,55,yes,yes,3,1,Sometimes,no,3,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,20,1.83,66,no,no,2,3,Sometimes,no,2,no,1,1,no,Public_Transportation,Normal_Weight
+Female,20,1.6,65,no,no,3,3,Sometimes,no,2,yes,0,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,33,1.85,85,no,yes,2,3,Frequently,no,2,no,1,0,Sometimes,Automobile,Normal_Weight
+Male,33,1.75,85,no,no,2,3,Sometimes,no,2,yes,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33,1.83,113,yes,yes,2,1,Always,no,2,no,1,2,Frequently,Automobile,Obesity_Type_I
+Male,14,1.71,72,yes,yes,3,3,Sometimes,no,3,no,2,1,no,Walking,Normal_Weight
+Male,34,1.84,88,no,yes,3,3,Sometimes,no,1,yes,2,0,no,Automobile,Overweight_Level_I
+Male,18,1.77,87,yes,yes,3,3,Sometimes,no,2,no,1,1,Frequently,Public_Transportation,Overweight_Level_II
+Male,18,1.7,90,no,yes,3,3,Sometimes,no,2,no,2,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,29,1.62,89,yes,yes,1,3,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18,1.85,60,yes,yes,3,4,Sometimes,no,2,yes,2,0,Sometimes,Automobile,Insufficient_Weight
+Male,18,1.84,60,yes,yes,3,4,Sometimes,no,2,yes,2,0,Sometimes,Automobile,Insufficient_Weight
+Male,19,1.75,58,no,yes,2,3,Sometimes,no,2,no,2,0,Sometimes,Bike,Normal_Weight
+Male,33,1.85,93,yes,yes,2,3,Sometimes,no,1,no,1,1,Sometimes,Walking,Overweight_Level_II
+Male,33,1.74,76,no,no,2,3,Sometimes,no,1,no,0,2,Sometimes,Walking,Overweight_Level_I
+Female,19,1.61,53.8,yes,yes,2,3,Always,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.75,70,no,no,2,3,Sometimes,no,3,no,1,1,no,Public_Transportation,Normal_Weight
+Female,20,1.67,60,no,yes,3,3,no,no,2,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.7,69,no,yes,3,1,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,26,1.9,80,yes,yes,2,3,Frequently,no,1,yes,1,0,Sometimes,Automobile,Normal_Weight
+Male,18,1.65,85,no,yes,2,3,Sometimes,no,1,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18,1.6,55,no,yes,2,4,Frequently,no,2,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.8,70,no,yes,3,3,Frequently,no,1,no,2,0,no,Public_Transportation,Normal_Weight
+Female,18,1.64,59,yes,yes,2,3,Sometimes,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.89,87,no,yes,2,4,Frequently,no,2,no,3,1,Frequently,Automobile,Normal_Weight
+Female,19,1.76,80,yes,yes,2,1,Sometimes,no,3,no,3,1,no,Public_Transportation,Overweight_Level_I
+Female,18,1.56,55,no,yes,2,3,Sometimes,no,1,no,0,0,Frequently,Automobile,Normal_Weight
+Female,18,1.6,56,yes,yes,2,1,Always,no,2,no,1,0,Sometimes,Walking,Normal_Weight
+Female,19,1.67,64,no,yes,3,3,Sometimes,no,2,no,2,1,Sometimes,Automobile,Normal_Weight
+Female,19,1.6,60,no,yes,2,3,Frequently,no,2,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.55,56,no,yes,2,3,Sometimes,no,1,no,0,0,no,Automobile,Normal_Weight
+Female,18,1.55,50,yes,yes,3,3,Frequently,no,1,no,1,2,no,Public_Transportation,Normal_Weight
+Male,26,1.72,65,yes,yes,2,3,Sometimes,no,2,no,0,1,Sometimes,Walking,Normal_Weight
+Male,18,1.72,53,yes,yes,2,3,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Insufficient_Weight
+Male,19,1.7,60,yes,yes,2,1,Sometimes,no,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,19,1.51,45,no,yes,2,4,Sometimes,no,1,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.83,82,yes,yes,3,3,Frequently,no,2,no,2,0,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.8,87,yes,yes,2,4,Sometimes,no,2,no,2,1,Sometimes,Public_Transportation,Overweight_Level_I
+Female,24,1.6,100.5,yes,yes,3,1,Sometimes,no,1,no,0,2,Sometimes,Public_Transportation,Obesity_Type_II
+Female,18,1.63,63,yes,yes,1,3,Sometimes,no,2,no,2,2,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.71,71,no,yes,3,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.7,65,yes,no,2,3,Frequently,no,2,no,1,0,no,Public_Transportation,Normal_Weight
+Male,23,1.75,69,no,no,3,3,no,no,2,no,2,1,Sometimes,Automobile,Normal_Weight
+Female,18,1.62,50,no,yes,3,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Normal_Weight
+Female,20,1.68,68,no,yes,3,1,Sometimes,no,1,no,1,0,no,Public_Transportation,Normal_Weight
+Male,18,1.85,66,no,yes,2,3,Frequently,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,33,1.59,60,no,yes,3,1,Frequently,no,2,no,0,0,no,Public_Transportation,Normal_Weight
+Female,19,1.5,45,no,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.69,60,no,yes,2,3,Always,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.76,79,yes,yes,2,3,Frequently,no,3,no,1,2,Frequently,Public_Transportation,Overweight_Level_I
+Female,18,1.62,55,yes,yes,2,3,Frequently,no,1,no,1,1,no,Public_Transportation,Normal_Weight
+Male,21,1.71,100,yes,yes,2,1,Sometimes,no,2,no,0,2,no,Public_Transportation,Obesity_Type_I
+Male,27,1.72,88,yes,yes,2,1,Always,no,2,no,0,0,Sometimes,Automobile,Overweight_Level_II
+Male,17,1.8,68,yes,no,2,3,Sometimes,no,1,no,2,1,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.93,86,no,no,3,4,Always,no,2,no,2,0,Sometimes,Walking,Normal_Weight
+Female,18,1.6,51,yes,yes,2,3,Frequently,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,22,1.74,75,yes,yes,3,3,Frequently,no,1,no,1,0,no,Automobile,Normal_Weight
+Male,22,1.74,75,yes,yes,3,3,Frequently,no,1,no,1,0,no,Automobile,Normal_Weight
+Female,20,1.62,45,no,yes,3,3,Frequently,no,1,no,1,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.54,42,no,yes,3,1,Sometimes,no,2,no,0,1,no,Public_Transportation,Insufficient_Weight
+Female,20,1.56,51.5,no,yes,2,3,Frequently,no,2,no,3,0,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.6,83,yes,yes,2,3,Sometimes,no,2,yes,1,0,no,Public_Transportation,Obesity_Type_I
+Female,18,1.54,71,no,no,3,4,Frequently,no,2,no,1,1,no,Public_Transportation,Overweight_Level_II
+Female,18,1.63,51,yes,yes,1,3,Frequently,no,1,no,1,0,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.78,64,no,yes,2,3,Sometimes,no,1,no,1,0,no,Public_Transportation,Normal_Weight
+Female,18,1.62,68,no,no,2,1,Sometimes,no,1,no,0,2,no,Public_Transportation,Overweight_Level_I
+Female,18,1.71,75,yes,yes,3,3,Sometimes,no,2,no,1,0,no,Public_Transportation,Overweight_Level_I
+Female,18,1.64,56,yes,yes,3,3,Frequently,no,1,yes,1,1,no,Public_Transportation,Normal_Weight
+Male,19,1.69,65,no,yes,2,3,Frequently,no,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,17,1.58,50,no,yes,1,4,Frequently,no,2,no,1,2,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.57,50,no,yes,2,3,Sometimes,no,1,no,0,1,Sometimes,Public_Transportation,Normal_Weight
+Male,18,1.74,64,yes,yes,3,4,Sometimes,no,1,yes,2,0,Sometimes,Public_Transportation,Normal_Weight
+Female,20,1.58,53.5,yes,yes,2,1,Frequently,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,18,1.5,58,no,yes,2,3,Sometimes,no,1,no,0,0,no,Public_Transportation,Overweight_Level_I
+Female,36,1.65,80,yes,yes,2,3,Sometimes,no,1,no,0,2,no,Automobile,Overweight_Level_II
+Male,21,1.8,73,yes,yes,1,3,Always,no,2,no,3,1,Sometimes,Public_Transportation,Normal_Weight
+Male,23,1.75,75,no,yes,2,3,Sometimes,no,2,no,1,0,Frequently,Public_Transportation,Normal_Weight
+Male,20,1.84,104,yes,no,2,3,Sometimes,no,3,no,3,0,no,Motorbike,Obesity_Type_I
+Male,21,1.88,84,yes,yes,3,3,Sometimes,no,3,no,2,1,Sometimes,Walking,Normal_Weight
+Female,19,1.56,50,no,yes,2,1,Sometimes,no,1,no,0,2,no,Public_Transportation,Normal_Weight
+Male,24,1.75,84,no,yes,3,3,no,no,2,yes,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,25,1.66,68,no,yes,2,3,Sometimes,yes,1,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Male,45,1.7,86,no,yes,3,3,Frequently,no,1,no,0,0,no,Automobile,Overweight_Level_II
+Male,20,1.8,65,no,yes,2,3,Frequently,no,1,no,2,0,Sometimes,Motorbike,Normal_Weight
+Female,18,1.67,66,no,yes,3,3,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Normal_Weight
+Male,19,1.8,60,yes,yes,3,1,Always,no,1,yes,0,0,no,Motorbike,Normal_Weight
+Male,18,1.72,53,yes,yes,2,3,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Insufficient_Weight
+Male,20,1.56,45,no,no,2,3,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Normal_Weight
+Female,25.196214,1.686306,104.572712,yes,yes,3,3,Sometimes,no,1.152736,no,0.319156,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.503343,1.683124,126.67378,yes,yes,3,3,Sometimes,no,1.115967,no,1.541072,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622397,110.79263,yes,yes,3,3,Sometimes,no,2.704507,no,0,0.29499,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.853826,1.755643,137.796884,yes,yes,3,3,Sometimes,no,2.184707,no,1.978631,0.838957,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.90012,1.843419,165.057269,yes,yes,3,3,Sometimes,no,2.406541,no,0.10032,0.479221,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.306615,1.7456,133.03441,yes,yes,3,3,Sometimes,no,2.984323,no,1.586525,0.62535,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.630927,111.485516,yes,yes,3,3,Sometimes,no,2.444125,no,0,0.26579,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.629191,104.826776,yes,yes,3,3,Sometimes,no,2.654702,no,0,0.555468,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.849705,1.770612,133.963349,yes,yes,3,3,Sometimes,no,2.825629,no,1.399183,0.928972,Sometimes,Public_Transportation,Obesity_Type_III
+Male,19.799054,1.743702,54.927529,yes,yes,2,3.28926,Sometimes,no,2.847264,no,1.680844,2,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.188754,1.771915,55.695036,yes,yes,2,4,Sometimes,no,2.884033,no,2,1.340107,Sometimes,Public_Transportation,Insufficient_Weight
+Male,22.285024,1.75376,55.879263,yes,yes,2.450218,3.995147,Sometimes,no,2.147746,no,2,0.58998,Sometimes,Public_Transportation,Insufficient_Weight
+Female,22,1.675446,51.154201,yes,yes,3,3,Frequently,no,2.815293,no,1.978631,1,no,Public_Transportation,Insufficient_Weight
+Female,21.02497,1.666203,49.869791,yes,yes,3,3,Frequently,no,2.593459,no,2,1,no,Public_Transportation,Insufficient_Weight
+Female,22.038327,1.711467,51.965521,yes,yes,2.880161,3,Frequently,no,1.031354,no,2.206738,1.37465,no,Public_Transportation,Insufficient_Weight
+Female,21.243142,1.598019,44.845655,no,no,3,1.72626,Frequently,no,2.444125,no,1.31817,0,no,Public_Transportation,Insufficient_Weight
+Female,22.142432,1.59611,42.848033,no,no,3,2.581015,Frequently,no,2.654702,no,0.902095,0,no,Public_Transportation,Insufficient_Weight
+Female,21.962426,1.57206,43.919835,no,no,3,1.600812,Frequently,no,2.651258,no,0.600817,0,no,Public_Transportation,Insufficient_Weight
+Female,21.491055,1.586952,43.087508,no,no,2.00876,1.73762,Frequently,no,1.792022,no,0.119643,0,no,Public_Transportation,Insufficient_Weight
+Female,22.717943,1.59559,44.581159,no,no,2.596579,1.10548,Frequently,no,1.490613,no,0.345684,0,no,Public_Transportation,Insufficient_Weight
+Female,23.501249,1.6,45,no,no,2.591439,3,Frequently,no,2.074048,no,1.679935,0,no,Public_Transportation,Insufficient_Weight
+Female,18.535075,1.688025,45,no,yes,3,3,Sometimes,no,3,yes,2.539762,1.283673,no,Public_Transportation,Insufficient_Weight
+Female,19,1.556211,42.339767,no,yes,3,2.0846,Sometimes,no,2.13755,yes,0.196152,0.062488,no,Public_Transportation,Insufficient_Weight
+Female,19,1.564199,42.096062,no,yes,3,1.894384,Sometimes,no,2.456581,yes,1.596576,0.9974,no,Public_Transportation,Insufficient_Weight
+Female,20.254534,1.56948,41.324558,no,yes,2.392665,1,Frequently,no,1,no,0,0.738269,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21,1.52,42,no,yes,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.225396,1.550648,44.641796,no,yes,3,2.857787,Frequently,no,1,no,0.754646,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.86997,1.520997,42,no,yes,3,1,Frequently,no,1.527036,no,0,0.860497,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.147114,1.528011,42,no,yes,3,1,Frequently,no,1.322669,no,0,0.478676,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21,1.52,42,no,yes,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21.996523,1.733263,50.890363,no,no,3,3.765526,Frequently,no,1.656082,no,0.42777,0.555967,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21.376426,1.722527,50.833029,no,no,3,3.285167,Frequently,no,1.569082,no,0.545931,0.469735,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.724106,1.734832,50,no,no,1.123939,4,Frequently,no,1,no,1.303976,0.371941,Sometimes,Public_Transportation,Insufficient_Weight
+Male,23,1.882779,64.106108,yes,yes,3,3,Sometimes,no,2.843777,no,1.488843,0.009254,Sometimes,Automobile,Insufficient_Weight
+Male,22.851834,1.854592,63.611109,yes,yes,3,3.691226,Sometimes,no,2.650989,no,1.228136,0.8324,Sometimes,Automobile,Insufficient_Weight
+Male,23,1.835643,58.854416,yes,yes,3,3,Sometimes,no,2.027984,no,1.661556,0.114716,Sometimes,Automobile,Insufficient_Weight
+Male,18.216032,1.755507,52,yes,yes,3,3,Frequently,no,2,no,0.658894,1,no,Public_Transportation,Insufficient_Weight
+Male,21.81119,1.71266,51.598593,yes,yes,3,3.156153,Frequently,no,1.253803,no,0.544784,0.256382,no,Public_Transportation,Insufficient_Weight
+Male,18.164768,1.694265,52,yes,yes,3,3,Frequently,no,2,no,0.819682,1,no,Public_Transportation,Insufficient_Weight
+Female,18.871794,1.586895,41.452385,no,yes,2,1.07976,Sometimes,no,1,no,0.194745,1.547086,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.766033,1.579561,41.890204,no,yes,2.027574,1,Sometimes,no,1.636326,no,0,1.906141,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.540535,1.564568,41.397378,no,yes,2.658112,1,Sometimes,no,1.298165,no,0,1.639326,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.88036,1.670635,49.742931,no,no,2.88626,3.559841,Frequently,no,1.632004,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.717249,1.688426,49.660995,no,no,2.714447,3,Frequently,no,2,no,1.903182,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.633898,1.66084,49.039794,no,no,2.750715,3,Frequently,no,2,no,1.067817,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,23,1.710182,50.287967,yes,yes,2,3,Frequently,no,2.099863,no,1.63581,2,no,Public_Transportation,Insufficient_Weight
+Female,20.406871,1.755978,53.699561,yes,yes,2,3.891994,Frequently,no,1.86393,no,2.870127,2,no,Public_Transportation,Insufficient_Weight
+Female,23,1.728834,51.442293,yes,yes,2,3,Frequently,no,1.229915,no,0.619533,2,no,Public_Transportation,Insufficient_Weight
+Female,19.058511,1.662017,49.838965,no,yes,1.4925,3,Sometimes,no,1.049134,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.827008,1.7,50,no,yes,1,3.240578,Sometimes,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.314964,1.661403,49.932199,no,yes,2.205439,3,Sometimes,no,1.530531,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,29.970445,1.610863,49.516027,yes,yes,2.059138,3.904858,Frequently,no,2,no,0.821977,0,no,Public_Transportation,Insufficient_Weight
+Female,32.383858,1.640688,46.655622,yes,yes,3,3.11158,Frequently,no,2.721769,no,1.44287,0,no,Public_Transportation,Insufficient_Weight
+Female,24.163526,1.64603,49.839685,yes,yes,3,3.590039,Frequently,no,2.7305,no,0.107078,0,no,Public_Transportation,Insufficient_Weight
+Male,17.038222,1.710564,51.588874,no,yes,2,2.057935,Sometimes,no,2.371015,no,0.288032,0.714627,Sometimes,Public_Transportation,Insufficient_Weight
+Male,16.30687,1.752755,50,no,yes,2.310423,3.558637,Sometimes,no,1.787843,no,1.926592,0.828549,Sometimes,Public_Transportation,Insufficient_Weight
+Male,16.198153,1.691007,52.629374,no,yes,2,2.000986,Sometimes,no,2.673835,no,0.99295,0.474836,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.753349,51.457226,no,yes,2.823179,3,Sometimes,no,1.773236,no,1.252472,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.781543,50.869704,no,yes,2.052932,3,Sometimes,no,2,no,0.520408,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.755823,52.331172,no,yes,2.596364,3,Sometimes,no,2,no,0.281734,1.488372,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.486869,1.836669,58.943347,yes,yes,2.767731,3.821168,Sometimes,no,2,no,2,0.556245,no,Automobile,Insufficient_Weight
+Male,19.920629,1.768493,57.790381,yes,yes,2,3.897078,Sometimes,no,2.622638,no,2,1.894105,no,Automobile,Insufficient_Weight
+Male,18.426619,1.777108,57.145917,yes,yes,2,3.092116,Sometimes,no,2.426465,no,2,1.839862,no,Automobile,Insufficient_Weight
+Female,17.082867,1.640824,43.365005,no,yes,2.815157,3,Sometimes,no,2.911187,no,2.595128,1.380204,Sometimes,Public_Transportation,Insufficient_Weight
+Female,17.000433,1.584951,44.411801,no,yes,2.737762,3,Sometimes,no,2.310921,no,2.240714,1.59257,Sometimes,Public_Transportation,Insufficient_Weight
+Female,16.270434,1.818268,47.124717,no,yes,3,3.286431,Sometimes,no,2.148146,no,2.458237,1.273333,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.908114,1.793926,59.682591,yes,yes,2.568063,4,Sometimes,no,2,no,2,0.220029,no,Automobile,Insufficient_Weight
+Male,17.120699,1.809251,58.968994,yes,yes,2.524428,4,Sometimes,no,2,no,2,0.03838,no,Automobile,Insufficient_Weight
+Male,19.329542,1.767335,55.700497,yes,yes,2,4,Sometimes,no,2.157395,no,2,1.679149,no,Automobile,Insufficient_Weight
+Female,22.377998,1.699568,54.98774,yes,yes,3,3,Frequently,no,2,no,0.139808,0.875464,no,Public_Transportation,Insufficient_Weight
+Female,20.954955,1.759358,55.01045,yes,yes,2.971574,3.592415,Frequently,no,2.894678,no,2,1.009632,no,Public_Transportation,Insufficient_Weight
+Female,22.991668,1.740295,54.166453,yes,yes,3,3,Frequently,no,2.025279,no,2,0.152985,no,Public_Transportation,Insufficient_Weight
+Female,19.300435,1.739354,49.649613,no,yes,3,3.754599,Sometimes,no,1.692112,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,17.065445,1.647811,49.603807,no,yes,3,3.566082,Sometimes,no,1.438398,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.084967,1.768435,49.597765,no,yes,3,3.725797,Sometimes,no,1.191401,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.024853,1.7,50,no,yes,1.0816,3.520555,Frequently,no,1.016968,no,0.651412,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.833682,1.699464,49.676046,no,yes,1.270448,3.731212,Frequently,no,1.876915,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,17.767432,1.74379,50,no,yes,1.344854,4,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.504696,1.590317,42.367615,no,no,2.959658,3,Frequently,no,1,no,1.522399,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.950605,1.527133,42,no,no,2.725282,1.259803,Frequently,no,1,no,1.37467,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.530875,42,no,no,2.844607,1.273128,Frequently,no,1.69551,no,0.260079,0.635867,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17,1.848294,59.409018,yes,yes,2.44004,3,Sometimes,no,2,no,2.784471,1,no,Automobile,Insufficient_Weight
+Male,17,1.824414,59.295172,yes,yes,2.432302,3,Sometimes,no,2,no,2.349495,1,no,Automobile,Insufficient_Weight
+Male,18.525525,1.856633,59.258372,yes,yes,2.592247,3.304123,Sometimes,no,2.036764,no,2.038653,1.119877,no,Automobile,Insufficient_Weight
+Female,22.926352,1.715597,50,yes,yes,2.449267,3.647154,Frequently,no,1.266018,no,0.866045,0.097234,no,Public_Transportation,Insufficient_Weight
+Female,21.785351,1.675054,49.945233,yes,yes,2.929889,3,Frequently,no,2.792074,no,0.630944,1.366355,no,Public_Transportation,Insufficient_Weight
+Female,23,1.717601,51.073918,yes,yes,2,3,Frequently,no,1.426874,no,2.20208,2,no,Public_Transportation,Insufficient_Weight
+Female,17.402028,1.710756,50,no,yes,2.015258,3.300666,Sometimes,no,1.315608,no,0.069802,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18,1.7,50,no,yes,1.031149,3,Sometimes,no,1.963628,no,0.028202,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.48207,1.7,50,no,yes,1.592183,3.535016,Sometimes,no,1.086391,no,0.618913,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.53084,1.573816,39.850137,no,yes,1.21498,1.717608,Sometimes,no,1.179942,no,0.684739,2,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.94814,1.530884,39.371523,no,yes,1.522001,3,Sometimes,no,1.98126,no,2.306844,0.720454,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.400053,1.529724,40.343463,no,yes,2.703436,2.884479,Sometimes,no,1.439962,no,0.144627,0.322307,Sometimes,Public_Transportation,Insufficient_Weight
+Male,19.556729,1.767563,56.307019,yes,yes,2.362918,4,Sometimes,no,2.358172,no,2,0.939819,no,Automobile,Insufficient_Weight
+Male,17.70368,1.883364,60,yes,yes,3,3.626815,Sometimes,no,2,no,2.011519,0.456462,no,Automobile,Insufficient_Weight
+Male,18.274358,1.824655,58.621349,yes,yes,2.14084,4,Sometimes,no,2.931438,no,2,1.164457,no,Automobile,Insufficient_Weight
+Male,18,1.840138,60,yes,yes,3,4,Sometimes,no,2,no,2,0,no,Automobile,Insufficient_Weight
+Male,17.210933,1.819557,58.325122,yes,yes,2.5596,4,Sometimes,no,2,no,2,0.331483,no,Automobile,Insufficient_Weight
+Male,17.469417,1.798645,59.612717,yes,yes,2.336044,4,Sometimes,no,2,no,2,0.133005,no,Automobile,Insufficient_Weight
+Male,18,1.7108,50.92538,yes,yes,2,3,Sometimes,no,2,no,0,1.593704,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.70653,51.121749,yes,yes,2,3,Sometimes,no,2,no,0,1.329237,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.716691,51.149283,yes,yes,1.813234,3,Sometimes,no,1.274815,no,0.520407,1.673584,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.010211,1.555431,44.188767,no,no,2.724285,3,Frequently,no,1,yes,1.070331,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.091346,1.603923,45,no,no,3,3,Frequently,no,1.28246,yes,1.60195,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.773303,1.602082,45,no,no,3,3,Frequently,no,2.875583,yes,1.258504,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.483036,1.53777,42,no,yes,3,1,Frequently,no,1.387531,no,0,0.466169,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.538398,42,no,yes,2.71897,1.473088,Frequently,no,1.164644,no,1.235675,0.930926,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.407204,1.520862,42,no,yes,3,1,Frequently,no,1.848703,no,0,0.744555,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.717826,51.7325,yes,yes,1.133844,3,Sometimes,no,1.325326,no,0.227985,1.708309,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18.424941,1.753389,54.121925,yes,yes,2,3.16645,Sometimes,no,2.278578,no,1.838881,2,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.70165,50.157707,yes,yes,1.757466,3,Sometimes,no,1.153559,no,0.833976,1.616045,Sometimes,Public_Transportation,Insufficient_Weight
+Male,19.97981,1.75336,54.997374,yes,yes,2,3.494849,Sometimes,no,2.976672,no,1.94907,2,no,Public_Transportation,Insufficient_Weight
+Female,21.798856,1.672007,49.980968,yes,yes,2.979383,3,Frequently,no,2.975887,no,0.945093,1.241755,no,Public_Transportation,Insufficient_Weight
+Female,22.209706,1.593847,44.050251,no,no,3,2.99321,Frequently,no,2.702783,no,1.967234,0,no,Public_Transportation,Insufficient_Weight
+Female,23.018443,1.584785,44.376637,no,no,2.204914,2.127797,Frequently,no,2.120292,no,0.995735,0,no,Public_Transportation,Insufficient_Weight
+Female,19.376997,1.600264,45,no,no,3,3,Frequently,no,2.949419,yes,1.295697,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.971429,1.549311,41.557468,no,yes,2.927218,1,Frequently,no,1,no,0,0.276592,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.345161,1.534385,41.96525,no,yes,2.88853,1,Frequently,no,1,no,0,0.196224,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.519916,1.725548,49.815599,yes,no,2.890535,3.90779,Frequently,no,1.109115,no,1.548953,0.555468,no,Public_Transportation,Insufficient_Weight
+Male,20.406066,1.868931,63.199726,yes,yes,3,3.699594,Sometimes,no,2.825629,no,1.699592,0.071028,Sometimes,Automobile,Insufficient_Weight
+Female,21.478496,1.686936,51.256059,yes,yes,3,3.179995,Frequently,no,1.910378,no,0.480614,0.625079,no,Public_Transportation,Insufficient_Weight
+Female,18.372563,1.589829,40.202773,no,yes,2,1.075553,Sometimes,no,1,no,0.127425,1.679442,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.931667,1.653209,49.026214,no,no,2.530066,3,Sometimes,no,1.965237,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,22.998709,1.740108,53.65727,yes,yes,2.241606,3,Frequently,no,1.846626,no,2.460238,0.814518,no,Public_Transportation,Insufficient_Weight
+Female,18.006742,1.7,50,no,yes,1.003566,3.238258,Frequently,no,1.014634,no,0.783676,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,34.799519,1.689141,50,yes,yes,2.652779,3.804944,Frequently,no,1.60114,no,0.174692,0.096982,no,Public_Transportation,Insufficient_Weight
+Male,16.496978,1.691206,50,no,yes,2,1.630846,Sometimes,no,2.975528,no,0.548991,0.369134,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.788459,51.552595,no,yes,2.897899,3,Sometimes,no,1.835545,no,1.162519,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.377131,1.811238,58.83071,yes,yes,2.483979,3.762778,Sometimes,no,2,no,2,0.930051,no,Automobile,Insufficient_Weight
+Female,16.611837,1.830068,43.534531,no,yes,2.945967,3,Sometimes,no,2.953192,no,2.830911,1.466667,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.080493,1.782756,56.029418,yes,yes,2,4,Sometimes,no,2.28525,no,2,1.162801,no,Automobile,Insufficient_Weight
+Female,22.970655,1.751691,55.967655,yes,yes,2.478891,3.371832,Frequently,no,2.004126,no,2,0.327376,no,Public_Transportation,Insufficient_Weight
+Female,17.764764,1.78656,50,no,yes,2.784464,4,Sometimes,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.272573,1.71367,50,no,yes,1.005578,4,Frequently,no,1,no,1.683957,0.704978,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.540375,42.006282,no,no,2.938031,2.705445,Frequently,no,1.333807,yes,1.877369,0.370973,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.06713,1.896734,59.895052,yes,yes,2.842102,3.34175,Sometimes,no,2,no,2.511157,0.560351,no,Automobile,Insufficient_Weight
+Female,23,1.710129,50.079991,yes,yes,2,3,Frequently,no,2.685842,no,0.373186,2,no,Public_Transportation,Insufficient_Weight
+Female,18,1.704193,50.631889,no,yes,2,3,Sometimes,no,2,no,0,1.525597,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.054008,1.556611,39.695295,no,yes,1.889199,2.217651,Sometimes,no,2.013605,no,2.075293,1.683261,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.845399,60,yes,yes,3,4,Sometimes,no,2,no,2,0,no,Automobile,Insufficient_Weight
+Male,17.491272,1.834637,59.990861,yes,yes,2.943749,4,Sometimes,no,2,no,2,0.128895,no,Automobile,Insufficient_Weight
+Male,18,1.721854,52.514302,yes,yes,2.33998,3,Sometimes,no,2,no,0.027433,1.884138,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.172661,1.605521,44.661461,no,no,3,2.893778,Frequently,no,1,yes,0.769726,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.220108,1.530266,42,no,yes,3,1,Frequently,no,1.954889,no,0,0.907868,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.71889,52.058335,yes,yes,1.950742,3,Sometimes,no,1.751723,no,0.201136,1.743319,Sometimes,Public_Transportation,Insufficient_Weight
+Male,19.96247,1.756338,54.98234,yes,yes,2.277436,3.502604,Sometimes,no,2.891713,no,1.696294,1.894902,no,Public_Transportation,Insufficient_Weight
+Male,17.580627,1.770324,55.695253,yes,yes,2,4,Sometimes,no,2.369627,no,2,1.612466,no,Automobile,Insufficient_Weight
+Female,21.125098,1.767479,56.265959,yes,yes,2.371338,3.998766,Frequently,no,2.263466,no,2,0.844004,no,Public_Transportation,Insufficient_Weight
+Female,22.033129,1.704223,51.437985,yes,yes,2.984425,3,Frequently,no,2.044694,no,2.008256,1.250871,no,Public_Transportation,Insufficient_Weight
+Female,20.744839,1.667852,49.803921,yes,yes,2.977018,3.193671,Frequently,no,2.482933,no,2,1,no,Public_Transportation,Insufficient_Weight
+Female,22.547298,1.722461,51.881263,yes,yes,2.663421,3,Frequently,no,1.04111,no,0.794402,1.391948,no,Public_Transportation,Insufficient_Weight
+Female,21.837996,1.588046,44.236067,no,no,3,1.69608,Frequently,no,2.550307,no,1.098862,0,no,Public_Transportation,Insufficient_Weight
+Female,23.035829,1.598612,42.993937,no,no,2.753752,2.812377,Frequently,no,2.346647,no,1.612248,0,no,Public_Transportation,Insufficient_Weight
+Female,21.529439,1.592379,44.00945,no,no,3,1.612747,Frequently,no,2.566629,no,1.190465,0,no,Public_Transportation,Insufficient_Weight
+Female,21.287999,1.555778,42.3601,no,no,2.318355,1.082304,Frequently,no,1.220365,no,0.033328,0,no,Public_Transportation,Insufficient_Weight
+Female,23.444286,1.596466,44.594588,no,no,2.594653,1.882158,Frequently,no,1.916812,no,0.417119,0,no,Public_Transportation,Insufficient_Weight
+Female,22.329041,1.598393,44.918255,no,no,2.886157,2.326233,Frequently,no,2.306821,no,1.42237,0,no,Public_Transportation,Insufficient_Weight
+Female,18.91505,1.633316,45,no,yes,3,3,Sometimes,no,2.924594,yes,1.352558,0.220087,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.559567,42.12617,no,yes,3,1.989398,Sometimes,no,2.241607,no,0.206025,0.284453,no,Public_Transportation,Insufficient_Weight
+Female,19.052833,1.546551,42.069992,no,yes,3,1.735493,Sometimes,no,2.318736,no,1.193486,0.74568,no,Public_Transportation,Insufficient_Weight
+Female,19.59904,1.566501,41.706283,no,yes,2.967853,1,Frequently,no,1.131185,no,0,0.504176,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21,1.52,42,no,yes,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.673262,1.599486,44.810751,no,no,3,2.974568,Frequently,no,1.145761,yes,0.87967,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.244359,1.559186,41.952805,no,yes,2.619835,1,Frequently,no,1.198883,no,0,0.751212,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.552695,1.523426,42,no,yes,3,1,Frequently,no,1.185062,no,0,0.076654,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21,1.52,42,no,yes,3,1,Frequently,no,1,no,0,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21.997683,1.689441,51.107925,yes,yes,3,3.715118,Frequently,no,1.774576,no,0.10297,0.646423,no,Public_Transportation,Insufficient_Weight
+Female,21.274628,1.737453,50.479039,yes,yes,3,3.489918,Frequently,no,1.326694,no,0.791929,0.128394,no,Public_Transportation,Insufficient_Weight
+Female,18.909439,1.732096,50,no,yes,1.053534,3.378859,Sometimes,no,1,no,1.853425,0.861809,Sometimes,Public_Transportation,Insufficient_Weight
+Male,22.396504,1.869098,61.411141,yes,yes,3,3.263201,Sometimes,no,2.233274,no,1.557737,0.000355,Sometimes,Automobile,Insufficient_Weight
+Male,19.084317,1.851123,61.264785,yes,yes,3,3.994588,Sometimes,no,2.548527,no,1.285976,0.267076,Sometimes,Automobile,Insufficient_Weight
+Male,21.084625,1.787264,58.585146,yes,yes,2.530233,3.24934,Sometimes,no,2.387945,no,1.976341,1.672508,no,Automobile,Insufficient_Weight
+Male,18.068767,1.787787,52,yes,yes,3,3,Sometimes,no,2,no,0.854337,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,21.813083,1.712515,51.710723,yes,yes,2.8813,3.087544,Frequently,no,1.24818,no,1.952427,0.427461,no,Public_Transportation,Insufficient_Weight
+Male,18.038422,1.698914,51.692272,yes,yes,2.824559,3,Sometimes,no,2,no,0.533309,1.099764,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.874591,1.533609,41.669346,no,yes,2.762325,1.163666,Sometimes,no,1.30491,no,0.25289,1.001405,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.21164,1.567981,41.934368,no,yes,2.070964,1,Sometimes,no,1.676975,no,0,1.718513,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.988581,1.544263,41.535047,no,yes,2.68601,1,Sometimes,no,1.310074,no,0,1.0647,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.408999,1.670552,49.804245,no,yes,2.794197,3.409363,Sometimes,no,1.543021,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.665881,1.676346,49.105025,no,no,2.720701,3,Sometimes,no,2,no,1.862235,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.758286,1.667404,49.125955,no,no,2.880792,3.281391,Sometimes,no,1.960131,no,1.513029,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,22.422674,1.70011,50.173425,yes,yes,2.674431,3,Frequently,no,2.453384,no,1.321624,1.990617,no,Public_Transportation,Insufficient_Weight
+Male,20.242237,1.75633,54.567343,yes,yes,2,3.98525,Sometimes,no,2.654078,no,2.113151,2,no,Public_Transportation,Insufficient_Weight
+Female,22.637018,1.703584,51.607091,yes,yes,2.55996,3,Frequently,no,1.990788,no,0.486006,1.561272,no,Public_Transportation,Insufficient_Weight
+Female,19.007177,1.690727,49.895716,no,yes,1.212908,3.207071,Sometimes,no,1.029703,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.288205,1.713564,50,no,yes,1.140615,3.471536,Sometimes,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.314429,1.67231,49.713944,no,yes,2.562409,3.488342,Sometimes,no,1.67062,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,27.14823,1.660446,49.558304,yes,yes,2.004146,3.443456,Frequently,no,2.020764,no,1.078719,1.26729,no,Public_Transportation,Insufficient_Weight
+Female,25.380557,1.630379,46.062954,yes,yes,2.690754,3.03779,Frequently,no,2.212296,no,1.616882,0,no,Public_Transportation,Insufficient_Weight
+Female,22.867719,1.655413,50.424661,yes,yes,3,3.642802,Frequently,no,1.995177,no,0.118271,0.065515,no,Public_Transportation,Insufficient_Weight
+Male,17.729923,1.732862,51.216463,no,yes,2.051283,2.645858,Sometimes,no,2.35752,no,0.291309,0.897942,Sometimes,Public_Transportation,Insufficient_Weight
+Female,16.834813,1.74402,50,no,yes,2.19005,3.420618,Sometimes,no,1.356405,no,1.351996,0.98468,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.521754,1.757958,52.09432,no,yes,2.21498,2.64155,Sometimes,no,2.121251,no,0.998391,0.85882,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.786758,51.524444,no,yes,2.91548,3,Sometimes,no,1.777486,no,1.077469,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.767058,51.132809,yes,yes,2.708965,3,Sometimes,no,1.873004,no,1.21718,1,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18.128249,1.699437,52.08657,yes,yes,2.853513,3,Sometimes,no,2,no,0.680464,1.258881,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.405104,1.82525,58.913579,yes,yes,2.580872,3.887906,Sometimes,no,2,no,2,0.453649,no,Automobile,Insufficient_Weight
+Male,19.72925,1.793315,58.19515,yes,yes,2.508835,3.435905,Sometimes,no,2.076933,no,2.026668,1.443328,no,Automobile,Insufficient_Weight
+Male,18.525834,1.776989,57.275946,yes,yes,2,3.747163,Sometimes,no,2.575535,no,2,1.84383,no,Automobile,Insufficient_Weight
+Female,18.595614,1.609495,42.656563,no,yes,2.896562,2.625475,Sometimes,no,2.839558,yes,1.949667,1.253311,no,Public_Transportation,Insufficient_Weight
+Female,16.613108,1.777929,44.762023,no,yes,2.911877,3.098399,Sometimes,no,2.196405,no,2.328147,1.55011,Sometimes,Public_Transportation,Insufficient_Weight
+Female,16.928791,1.710948,45.248627,no,yes,2.910733,3.12544,Sometimes,no,2.204263,no,2.407906,1.403037,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17.758315,1.854162,59.881316,yes,yes,2.966126,3.96981,Sometimes,no,2,no,2.000088,0.378619,no,Automobile,Insufficient_Weight
+Male,17.282945,1.821514,59.605028,yes,yes,2.613249,3.712183,Sometimes,no,2,no,2.002997,0.174848,no,Automobile,Insufficient_Weight
+Male,19.993154,1.762073,55.511075,yes,yes,2,4,Sometimes,no,2.542415,no,2,1.807465,no,Automobile,Insufficient_Weight
+Female,22.935612,1.732307,54.835576,yes,yes,3,3,Frequently,no,2.00357,no,1.25955,0.417116,no,Public_Transportation,Insufficient_Weight
+Male,20.738469,1.759933,55.003417,yes,yes,2.627031,3.832911,Sometimes,no,2.993448,no,2,1.425903,no,Public_Transportation,Insufficient_Weight
+Female,22.99368,1.741377,54.877111,yes,yes,3,3,Frequently,no,2.009796,no,2,0.071317,no,Public_Transportation,Insufficient_Weight
+Female,19.317148,1.731195,49.650897,no,yes,2.919751,3.576103,Sometimes,no,1.949308,no,1.940182,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,16.910997,1.74823,49.928447,no,yes,2.494451,3.56544,Sometimes,no,1.491268,no,1.951027,0.956204,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.071027,1.756865,49.699672,no,yes,1.69427,3.266644,Sometimes,no,1.095417,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.019572,1.701378,50.088468,no,yes,1.601236,3.433908,Sometimes,no,1.055019,no,0.819269,1.030848,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.735968,1.699956,49.98297,no,yes,1.204855,3.531038,Sometimes,no,1.134658,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.094079,1.723328,50,no,yes,1.052699,3.998618,Frequently,no,1,no,2,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.054938,1.585886,42.541794,no,no,2.910345,3,Frequently,no,1,yes,1.461005,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.850119,1.524926,42,no,yes,2.866383,1.226342,Frequently,no,1,no,0.14495,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.349258,1.52337,42,no,yes,2.913486,1.060796,Frequently,no,1.596212,no,0.108948,0.773087,Sometimes,Public_Transportation,Insufficient_Weight
+Male,17,1.844749,59.313525,yes,yes,2.432886,3,Sometimes,no,2,no,2.697949,1,no,Automobile,Insufficient_Weight
+Male,17.203917,1.853325,59.619485,yes,yes,2.883745,3.595761,Sometimes,no,2,no,2.077653,0.714701,no,Automobile,Insufficient_Weight
+Male,17.671064,1.854706,59.20945,yes,yes,2.707666,3.737914,Sometimes,no,2.026547,no,2.009397,0.613971,no,Automobile,Insufficient_Weight
+Female,21.310907,1.72064,50,yes,yes,2.919584,3.697831,Frequently,no,1.147121,no,0.993058,0.08922,no,Public_Transportation,Insufficient_Weight
+Female,21.708354,1.704167,50.165754,yes,yes,2.969205,3.21043,Frequently,no,2.765876,no,0.611037,1.300692,no,Public_Transportation,Insufficient_Weight
+Female,22.176922,1.71746,51.491957,yes,yes,2.486189,3,Frequently,no,1.064378,no,2.206055,1.958089,no,Public_Transportation,Insufficient_Weight
+Female,17.823438,1.708406,50,no,yes,1.642241,3.45259,Sometimes,no,1.099231,no,0.418875,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18,1.763465,50.279053,no,yes,1.567101,3,Sometimes,no,1.994139,no,0.107981,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.281092,1.7,50,no,yes,1.036414,3.205587,Sometimes,no,1.745959,no,0.115974,1,Sometimes,Public_Transportation,Insufficient_Weight
+Female,18.656912,1.574017,41.220175,no,yes,1.649974,1.513835,Sometimes,no,1.549974,no,0.227802,1.972926,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.994543,1.537739,39.101805,no,yes,1.118436,3,Sometimes,no,1.997744,no,2.432443,1.626194,Sometimes,Public_Transportation,Insufficient_Weight
+Female,20.255616,1.534223,41.268597,no,yes,2.673638,2.779379,Frequently,no,1.249074,no,0.043412,0.403694,Sometimes,Public_Transportation,Insufficient_Weight
+Male,19.865895,1.76033,55.3707,yes,yes,2.120185,4,Sometimes,no,2.582165,no,2,1.510609,no,Automobile,Insufficient_Weight
+Male,17.888073,1.841879,60,yes,yes,3,3.732126,Sometimes,no,2,no,2.000934,0.384662,no,Automobile,Insufficient_Weight
+Male,18.470562,1.856406,58.673963,yes,yes,2.34222,3.937099,Sometimes,no,2.311791,no,2.013377,1.128355,no,Automobile,Insufficient_Weight
+Male,17.925497,1.829142,59.933015,yes,yes,2.86099,4,Sometimes,no,2,no,2,0.007872,no,Automobile,Insufficient_Weight
+Male,17.000752,1.822084,58.443049,yes,yes,2.559571,3.047959,Sometimes,no,2,no,2.011646,0.588994,no,Automobile,Insufficient_Weight
+Male,17.362129,1.80671,59.243506,yes,yes,2.424977,4,Sometimes,no,2,no,2,0.03921,no,Automobile,Insufficient_Weight
+Male,18,1.707259,50.664459,yes,yes,1.786841,3,Sometimes,no,1.546856,no,0.512094,1.608265,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.708107,51.314659,yes,yes,1.303878,3,Sometimes,no,1.755497,no,0.062932,1.672532,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.739344,50.951444,yes,yes,1.889883,3,Sometimes,no,1.959531,no,0.520407,1.151166,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.029494,1.573987,44.316254,no,no,2.984004,3,Frequently,no,1.015249,yes,1.327833,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.269079,1.58092,44.753943,no,no,3,2.975362,Frequently,no,1.246822,yes,0.979701,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.946244,1.603435,45,no,no,3,3,Frequently,no,2.487919,yes,1.230441,0,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.639431,1.53535,42,no,yes,3,1,Frequently,no,1.49681,no,0,0.513427,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19,1.53161,42,no,yes,2.749268,1.394539,Frequently,no,1.322048,no,0.463949,0.800993,Sometimes,Public_Transportation,Insufficient_Weight
+Female,19.434709,1.525691,42,no,yes,3,1,Frequently,no,1.764055,no,0,0.560887,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.719827,52.289828,yes,yes,1.202075,3,Sometimes,no,1.927976,no,0.023574,1.747256,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18.381382,1.722547,53.783977,yes,yes,2,3.131032,Sometimes,no,2.072194,no,1.487987,2,Sometimes,Public_Transportation,Insufficient_Weight
+Male,18,1.738702,50.248677,yes,yes,1.871213,3,Sometimes,no,1.283738,no,0.684879,1.487223,Sometimes,Public_Transportation,Insufficient_Weight
+Male,26.69858,1.816298,86.963765,no,yes,2.341133,1.578521,Sometimes,no,2,no,2,0.554072,no,Automobile,Overweight_Level_I
+Male,21.125836,1.638085,70,no,yes,2,1,no,no,2.115967,no,0.770536,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,25.191627,1.813678,85.637789,no,yes,1.450218,3.985442,Sometimes,no,2.147746,no,0.046836,1,no,Automobile,Overweight_Level_I
+Male,21.963457,1.697228,75.5771,yes,yes,2.204914,3.623364,Sometimes,no,1.815293,no,0.989316,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.617469,68.869791,no,yes,1.206276,3,no,no,2.406541,no,0.94984,0.479221,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.114981,1.855543,88.965521,yes,yes,2,3,Sometimes,no,1.015677,no,0,0.37465,Sometimes,Public_Transportation,Overweight_Level_I
+Female,41.823567,1.721854,82.919584,no,yes,2.81646,3.36313,Sometimes,no,2.722063,no,3,0.26579,Sometimes,Automobile,Overweight_Level_I
+Male,21.142432,1.855353,86.413388,yes,yes,2,3,Sometimes,no,1.345298,no,1.097905,1,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.962426,1.696336,75,yes,yes,2,3,Sometimes,no,1.825629,no,0.699592,0.142056,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18.836315,1.751631,80,yes,yes,2,1.73762,Sometimes,no,2.207978,no,2.641072,0.707044,Frequently,Public_Transportation,Overweight_Level_I
+Male,23.572648,1.698346,75,yes,yes,2,3,Sometimes,no,2,no,0.345684,1.415536,Sometimes,Public_Transportation,Overweight_Level_I
+Female,33.700749,1.642971,74.803157,yes,no,3,1.146052,Sometimes,no,1.074048,no,0.679935,0,Sometimes,Automobile,Overweight_Level_I
+Female,21.845025,1.613668,68.126955,yes,yes,1.758394,3.981997,Sometimes,no,2.174248,no,0.920476,1.358163,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.605404,68.226511,no,yes,2,1.9154,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,35.125401,1.529834,62.903938,no,yes,2,2.105616,Sometimes,no,1.456581,no,0,0.9974,Sometimes,Automobile,Overweight_Level_I
+Female,36.769646,1.55,62.337721,yes,yes,2.392665,3,Sometimes,no,2.951056,no,0,0.369134,Sometimes,Automobile,Overweight_Level_I
+Female,21.868932,1.731261,78.175706,yes,yes,2.577427,1,Sometimes,no,2,no,2.287423,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.549208,1.629194,70,no,yes,2,1,no,no,2.803311,no,0.245354,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,30.958957,1.633491,68.803694,yes,yes,2.052152,3,Sometimes,no,1.972074,no,0.228307,0,Sometimes,Automobile,Overweight_Level_I
+Male,21.017383,1.752391,79.109637,yes,yes,3,1,Sometimes,no,2,no,2.57223,0,Sometimes,Automobile,Overweight_Level_I
+Male,19.623574,1.818226,85.833029,yes,yes,2.954996,3.714833,Sometimes,no,2.430918,no,2.545931,0.469735,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.637947,1.809101,85,yes,yes,3,3,Sometimes,no,2.229171,no,1.607953,0.628059,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.413642,1.709484,75,yes,yes,2,3,Sometimes,no,2.843777,no,2.022315,0.009254,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.029633,1.607082,67.722222,yes,yes,2,3.691226,no,no,3,no,1.228136,0.3352,Sometimes,Public_Transportation,Overweight_Level_I
+Female,22.667596,1.718939,75.951472,yes,yes,2,3,Frequently,no,2,no,0,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,20,1.831357,89.652557,yes,yes,2.555401,3.292386,Sometimes,no,3,no,2,0.315918,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.81119,1.6,66.401407,yes,yes,2.108711,3,Sometimes,no,2.746197,no,1.910432,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.754813,77.929204,yes,yes,2.915279,1.104642,Sometimes,no,1.530046,no,1.360635,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,18.128206,1.778447,80.273807,yes,yes,1.570089,3,Sometimes,no,2,no,2.707882,0,no,Public_Transportation,Overweight_Level_I
+Male,21,1.709561,75,yes,yes,2,3,Sometimes,no,1.636326,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,29.08107,1.674568,71.602622,yes,yes,2,3,Sometimes,no,1.701835,no,1.682271,0,Sometimes,Automobile,Overweight_Level_I
+Male,26.358919,1.755317,82.228794,yes,yes,1.94313,3.559841,Sometimes,no,2.367996,no,0.23553,0.879977,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.717249,1.708071,75,yes,yes,2.714447,3,Sometimes,no,3,no,1.096818,1.89388,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.816949,1.806947,85.079589,yes,yes,2,3,Sometimes,no,2.292073,no,1.067817,0.19668,Sometimes,Public_Transportation,Overweight_Level_I
+Female,24.023972,1.599697,64.808022,no,yes,2.903545,3,Sometimes,no,1.549931,no,0,0.273882,Sometimes,Public_Transportation,Overweight_Level_I
+Female,32.593129,1.721903,72.748903,yes,yes,2,3,Sometimes,no,1,no,0,1.339232,Sometimes,Automobile,Overweight_Level_I
+Male,23,1.712556,75.480764,yes,yes,3,3.654061,Sometimes,no,1.229915,no,0.793489,1.597608,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.941489,1.551288,54.93242,no,yes,1.75375,1.296156,Sometimes,no,2,yes,0.110174,1.944675,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.172992,1.603842,65,yes,yes,2.543563,1,Sometimes,no,2,yes,0.694281,1.056911,Sometimes,Public_Transportation,Overweight_Level_I
+Female,23.71259,1.588597,62.339003,no,yes,2.39728,2.656588,Sometimes,no,2.061062,no,1.912981,1.887386,Sometimes,Public_Transportation,Overweight_Level_I
+Female,35.194089,1.673482,73.193589,yes,no,3,2.809716,Sometimes,no,1.591425,no,0.178023,0,Sometimes,Automobile,Overweight_Level_I
+Male,23.172982,1.858624,88.675503,yes,yes,2,2.77684,Sometimes,no,1.278231,no,0.55713,1,Sometimes,Automobile,Overweight_Level_I
+Female,37.218161,1.593894,63.320629,yes,yes,2.37464,3,Sometimes,no,2,no,2.892922,0.480813,Sometimes,Automobile,Overweight_Level_I
+Male,19.076443,1.62,69.529625,no,yes,2.278644,1,Sometimes,no,2.628985,no,1,1.285373,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.30687,1.616366,67.183128,yes,yes,1.620845,1,Sometimes,no,2,yes,0.926592,1.657098,no,Public_Transportation,Overweight_Level_I
+Female,18.297229,1.637396,70,yes,yes,2,1.999014,Sometimes,no,2.326165,no,0.00705,0,no,Public_Transportation,Overweight_Level_I
+Female,18.610761,1.550723,60.628321,no,yes,2.823179,2.644692,Sometimes,no,1.226764,yes,0.747528,0.008899,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.451085,1.6,65,yes,yes,3,2.449723,Sometimes,no,2,yes,0.479592,1.720642,Sometimes,Public_Transportation,Overweight_Level_I
+Male,29.740496,1.820471,87.668828,no,yes,3,3,Sometimes,no,1.174611,no,2,0,no,Automobile,Overweight_Level_I
+Female,31.539393,1.657496,73.641633,yes,yes,2,3,Sometimes,no,1,no,0,1.112489,Sometimes,Automobile,Overweight_Level_I
+Male,18.026457,1.752123,80,yes,yes,2,2.794156,Sometimes,no,2.377362,no,0.101236,0.105895,no,Public_Transportation,Overweight_Level_I
+Male,19.47554,1.857231,88.138777,yes,yes,2.061952,4,Sometimes,no,2.426465,no,2,0.160138,Sometimes,Public_Transportation,Overweight_Level_I
+Female,19,1.76,79.544998,yes,yes,2,1.146794,Sometimes,no,3,no,1.809745,1.690102,Frequently,Public_Transportation,Overweight_Level_I
+Female,18,1.644682,68.392133,yes,yes,2,1.131695,Sometimes,no,1.344539,no,0,1.59257,no,Public_Transportation,Overweight_Level_I
+Female,18.270434,1.737165,76.699774,yes,yes,2.838969,3,Sometimes,no,2.425927,no,1,1.453335,Frequently,Public_Transportation,Overweight_Level_I
+Female,19.816228,1.507853,64.259379,no,yes,2.568063,3,Sometimes,no,1.817983,yes,0,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,28.39124,1.81006,87.286783,no,yes,3,3,Sometimes,no,1.205633,no,2,0,no,Automobile,Overweight_Level_I
+Male,26.758516,1.80179,86.981202,no,yes,2.652958,2.488189,Sometimes,no,2,no,2,0.096614,no,Automobile,Overweight_Level_I
+Male,21.033794,1.625891,70,no,yes,2,1,no,no,2.00876,no,0.63119,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.429812,1.64037,70,no,yes,2,1,no,no,2.069184,no,0.729898,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,26.650419,1.791047,83.26312,no,yes,1.27785,3.999591,Sometimes,no,2.495944,no,0.00342,1,no,Automobile,Overweight_Level_I
+Male,21.618246,1.679306,75,yes,yes,2,3,Sometimes,no,1.957871,no,0.994592,0.117303,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.012542,1.615145,68.653347,yes,yes,1.729824,3.612941,no,no,2.043703,no,0.562118,0.426643,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.071195,1.616467,68.77185,yes,yes,1.452524,3.950553,no,no,2.109858,no,0.508847,1.194633,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.741202,1.816783,86.522799,yes,yes,2,3,Sometimes,no,2.177386,no,0.336814,0.004813,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.21638,1.812472,86.748295,yes,yes,2,3,Sometimes,no,2.168651,no,0.977998,0.142638,Sometimes,Public_Transportation,Overweight_Level_I
+Female,42.24475,1.768231,75.62931,yes,yes,3,2.951837,Sometimes,no,2.112032,no,0.378683,0,Sometimes,Automobile,Overweight_Level_I
+Male,22.283082,1.870931,89.251639,yes,yes,2,2.799979,Sometimes,no,1.081333,no,0.444347,1,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.086512,1.863685,89.558854,yes,yes,2,3,Sometimes,no,1.005727,no,0,0.798219,Sometimes,Public_Transportation,Overweight_Level_I
+Male,23.451595,1.670227,75,yes,yes,2,3,Sometimes,no,2,no,0.129163,1.983678,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.740275,1.717288,75.948164,yes,yes,2,3,Sometimes,no,2,no,0,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,18.900253,1.750359,79.828725,yes,yes,2,2.228113,Sometimes,no,2.045004,no,1.293665,0.961806,Frequently,Public_Transportation,Overweight_Level_I
+Male,23.170309,1.707557,75.306702,yes,yes,2.303367,3.042774,Sometimes,no,1.277636,no,0.944982,0.366126,Sometimes,Public_Transportation,Overweight_Level_I
+Female,32.997118,1.672446,74.812707,yes,yes,2.948425,1.198643,Sometimes,no,1,no,0,0.173796,Sometimes,Automobile,Overweight_Level_I
+Female,32.501143,1.675979,74.959747,yes,yes,2.291846,1.555557,Sometimes,no,1,no,0,0.388271,Sometimes,Automobile,Overweight_Level_I
+Female,21.938831,1.611239,67.939653,yes,yes,1.906194,3.987707,Sometimes,no,2.597746,no,1.922234,1.376124,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.909534,1.611356,68.06609,yes,yes,1.834155,3.995957,Sometimes,no,2.632871,no,1.236114,1.980875,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,37.455752,1.508908,63.183846,yes,yes,2.048582,1.047197,Sometimes,no,2,no,0.15136,0.22596,Sometimes,Automobile,Overweight_Level_I
+Female,40,1.561109,62.871794,yes,yes,2.948248,3,Sometimes,no,2.429911,no,0.11964,0.360193,Sometimes,Automobile,Overweight_Level_I
+Female,38.943282,1.554728,63.011645,yes,yes,2.869436,3,Sometimes,no,2.972426,no,2.16079,0.305954,Sometimes,Automobile,Overweight_Level_I
+Female,21.987341,1.730182,78.55444,yes,yes,2.293705,1,Sometimes,no,2,no,2.063943,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.198217,1.743841,78.88036,yes,yes,2.510583,1,Sometimes,no,2,no,2.119682,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,29.32038,1.642506,69.906708,yes,yes,2.366949,3,Sometimes,no,1.926577,no,1.581242,0,Sometimes,Automobile,Overweight_Level_I
+Female,31.255587,1.69308,71.927379,yes,yes,2.615788,3,Sometimes,no,1.771781,no,0.759422,0.686529,Sometimes,Automobile,Overweight_Level_I
+Male,22.851773,1.752115,79.414603,yes,yes,3,1,Sometimes,no,2,no,2.315983,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,26,1.745033,80,yes,yes,2.217267,1.193589,Sometimes,no,2,no,2,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.789291,1.820643,85,yes,yes,3,3,Sometimes,no,2.759246,no,1.763277,0.453314,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.895877,1.80733,85.073801,yes,yes,2.801514,3,Sometimes,no,2.734782,no,2.207881,0.143675,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.693804,1.8,85,yes,yes,2.188722,3,Sometimes,no,2.721356,no,1.528968,1,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.226314,1.814255,85.255631,yes,yes,2.971351,3.390143,Sometimes,no,2.133767,no,2.318492,0.678618,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.652229,1.700181,75.057177,yes,yes,2.086093,3.546352,Sometimes,no,2.081121,no,1.993666,0.673835,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.687409,1.604697,68.016472,yes,yes,1.901611,3.266501,no,no,2.926995,no,0.985872,0.307982,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.455463,1.611,68.107866,yes,yes,1.977298,3.554974,no,no,2.217957,no,0.97812,0.459759,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.754497,77.956921,yes,yes,2.446872,2.372311,Sometimes,no,1.81031,no,0.094893,1.650778,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.752944,77.965532,yes,yes,2.839048,2.10601,Sometimes,no,1.639202,no,1.117311,0.967919,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.337404,1.859927,87.105828,yes,yes,2.21232,4,Sometimes,no,2.374044,no,2,0.622638,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.701643,1.896073,90.52446,yes,yes,2.427689,3.715306,Sometimes,no,2.876096,no,1.815768,0.426465,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.620245,1.605314,66.621646,yes,yes,2.357496,3.376717,Sometimes,no,2.184843,no,1.358185,0.014885,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.012569,1.758628,78.370039,yes,yes,3,1,Sometimes,no,2,no,2.971832,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.016623,1.755427,78.300084,yes,yes,3,1,Sometimes,no,2,no,2.877473,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,19,1.779882,80.091886,yes,yes,1.078529,1.211606,Sometimes,no,2.568063,no,3,0.817983,no,Public_Transportation,Overweight_Level_I
+Male,21,1.712061,75,yes,yes,2,3,Sometimes,no,1.333707,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.676014,75,yes,yes,2,3,Sometimes,no,1.164062,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,27.899784,1.7,74.244004,yes,yes,2,3,Sometimes,no,2,no,1.722053,0,Sometimes,Automobile,Overweight_Level_I
+Male,28.825223,1.765874,82.045045,yes,yes,1.064162,3.98955,Sometimes,no,2.028426,no,0.81517,0.894678,Sometimes,Public_Transportation,Overweight_Level_I
+Male,26.047077,1.74595,80.018571,yes,yes,1.993101,3.171082,Sometimes,no,2.364498,no,1.224743,0.022245,Sometimes,Public_Transportation,Overweight_Level_I
+Male,23,1.690196,75,yes,yes,2.620963,3,Sometimes,no,2.824559,no,0.754599,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,20,1.81748,85,yes,yes,2.95118,3,Sometimes,no,3,no,2.433918,0.561602,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.832995,1.580964,65.363941,no,yes,2.021446,3,Sometimes,no,1.077917,no,0.523847,0.808599,Sometimes,Public_Transportation,Overweight_Level_I
+Female,30.255744,1.652084,73.575981,yes,yes,2,3,Sometimes,no,1,no,0,0.018877,Sometimes,Automobile,Overweight_Level_I
+Female,30.613586,1.645511,69.168978,yes,yes,2.000466,3,Sometimes,no,1.131448,no,0.061366,0,Sometimes,Automobile,Overweight_Level_I
+Male,23.245408,1.707968,75.383716,yes,yes,2.5621,3.105007,Sometimes,no,1.172427,no,0.184917,0.923082,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18,1.456346,55.523481,no,yes,2,3,Sometimes,no,1.040342,yes,0.497373,1.783319,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18,1.498561,55.376512,no,yes,2,3,Sometimes,no,1.274718,yes,0.129902,0.978574,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.950499,1.603501,65,yes,yes,2.96008,1,Sometimes,no,2,yes,0.736032,1.344072,no,Public_Transportation,Overweight_Level_I
+Female,21.837058,1.558045,63.597633,no,yes,2.53915,1.590982,Sometimes,no,1.977801,no,1.264616,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,27,1.55,62.877347,no,yes,2.244142,1.704828,Sometimes,no,1,no,0.792929,0.395468,Sometimes,Public_Transportation,Overweight_Level_I
+Female,35.483601,1.647514,73.91692,yes,no,3,2.725012,Sometimes,no,1.62244,no,0.902661,0,Sometimes,Automobile,Overweight_Level_I
+Male,23.801436,1.855779,86.098523,yes,yes,2,2.372339,Sometimes,no,1.675733,no,1.066241,1,Sometimes,Automobile,Overweight_Level_I
+Male,23.367212,1.853223,87.083266,yes,yes,2,1.097312,Sometimes,no,1.328835,no,1.264257,1,Sometimes,Automobile,Overweight_Level_I
+Female,40,1.570811,62.211572,yes,yes,2.253371,3,Sometimes,no,2.756916,no,1.016042,0.213437,Sometimes,Automobile,Overweight_Level_I
+Female,16.38009,1.617124,67.913561,yes,yes,2.851664,1,Sometimes,no,2,no,0.977929,1.765321,no,Public_Transportation,Overweight_Level_I
+Female,16.865984,1.644053,67.439589,yes,yes,1.31415,1.068196,Sometimes,no,1.364957,yes,0,0.057926,no,Public_Transportation,Overweight_Level_I
+Female,16.093234,1.608914,65,yes,yes,1.321028,1,Sometimes,no,2,yes,0.371452,0.965604,no,Public_Transportation,Overweight_Level_I
+Female,18,1.647971,68.818893,yes,yes,2,1.411685,Sometimes,no,1.859089,no,0,1.306,no,Public_Transportation,Overweight_Level_I
+Female,18.83919,1.624831,69.975607,yes,yes,2.253998,2.752318,Sometimes,no,2.328331,no,0.815509,0.024088,no,Public_Transportation,Overweight_Level_I
+Female,19.726522,1.508267,61.10403,no,yes,2.778079,3,Sometimes,no,1.696691,yes,0.94224,0.879925,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18.947102,1.518917,60.267427,no,yes,2.838037,2.737571,Sometimes,no,1.144467,yes,0.753782,1.286844,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.781183,1.6,65,yes,yes,3,2.973504,Sometimes,no,2,yes,0.178976,0.166076,Sometimes,Public_Transportation,Overweight_Level_I
+Male,33.100581,1.838791,87.85785,no,yes,2.814453,2.608055,Sometimes,no,1.85916,no,2,0.516084,no,Automobile,Overweight_Level_I
+Female,33.251015,1.730379,75.920519,yes,yes,2.013782,2.625942,Sometimes,no,1.045586,no,0.553305,0.480214,Sometimes,Automobile,Overweight_Level_I
+Female,18.985119,1.759117,80,yes,yes,2,1.411808,Sometimes,no,2.651194,no,2.878414,0.953841,no,Public_Transportation,Overweight_Level_I
+Female,18.871917,1.755254,80,yes,yes,2,1.095223,Sometimes,no,2.474132,no,2.876696,0.7939,no,Public_Transportation,Overweight_Level_I
+Male,19.478533,1.804099,85.196279,yes,yes,2.459976,3.30846,Sometimes,no,2.078011,no,1.779646,0.871772,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.429723,1.813567,86.144904,yes,yes,2.643183,3.821461,Sometimes,no,2.397124,no,2.044165,0.471663,Sometimes,Public_Transportation,Overweight_Level_I
+Female,20.979254,1.75655,78.721696,yes,yes,2,3,Sometimes,no,2.813234,no,0.228753,2,Frequently,Public_Transportation,Overweight_Level_I
+Female,18.869151,1.756774,79.989789,yes,yes,2,2.658639,Sometimes,no,2.781628,no,1.955992,1.409198,Frequently,Public_Transportation,Overweight_Level_I
+Female,18.236087,1.62,69.3899,yes,yes,2.22399,1,Sometimes,no,2.20312,no,0.104451,1.899073,no,Public_Transportation,Overweight_Level_I
+Female,20.901393,1.709585,75,yes,yes,2.104105,3,Sometimes,no,1.871033,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.08525,1.535618,57.259124,no,yes,1.972545,2.339614,Sometimes,no,1.711074,yes,0.095517,1.191053,Sometimes,Public_Transportation,Overweight_Level_I
+Male,25.785925,1.818848,87.032398,no,yes,2.286481,1.713762,Sometimes,no,1.797161,no,1.658698,0.926581,no,Automobile,Overweight_Level_I
+Male,26.787842,1.817641,87.107317,no,yes,2.971588,2.743277,Sometimes,no,1.394883,no,2,0.470243,no,Automobile,Overweight_Level_I
+Male,21.037514,1.636592,70,no,yes,2,1,no,no,2.881677,no,0.915699,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.00829,1.621412,70,no,yes,2,1,no,no,2.795651,no,0.80873,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,26.70371,1.802871,85.770013,yes,yes,2.872121,3.051804,Sometimes,no,2.111913,no,0.843709,0.153559,Sometimes,Automobile,Overweight_Level_I
+Male,21.731497,1.696201,75.399191,yes,yes,2.109162,3.245148,Sometimes,no,1.971774,no,0.989335,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.052894,1.694633,75.0522,yes,yes,2.178889,3.563744,Sometimes,no,1.853991,no,0.997731,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.618148,68.981403,yes,yes,1.142468,3,no,no,2.197732,no,0.827506,0.572877,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.241058,1.856811,88.633616,yes,yes,2.047069,3.829101,Sometimes,no,1.641022,no,1.554817,0.248218,Sometimes,Public_Transportation,Overweight_Level_I
+Female,38.939448,1.738321,86.934846,no,yes,2.843709,3.058539,Sometimes,no,1.130079,no,2.834373,0.044954,Sometimes,Automobile,Overweight_Level_I
+Female,39.965474,1.739293,80.914382,no,yes,2.416044,3.196043,Sometimes,no,1.352649,no,0.148628,1.08266,Sometimes,Automobile,Overweight_Level_I
+Male,20.261925,1.807538,85.316125,yes,yes,2,3,Sometimes,no,1.968011,no,1.072662,0.776758,Sometimes,Public_Transportation,Overweight_Level_I
+Male,20.31094,1.849425,85.228116,yes,yes,2.146598,3,Sometimes,no,2.100112,no,1.17116,0.833761,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.420537,1.712473,75,yes,yes,2,3,Sometimes,no,1.362642,no,0.921268,0.139013,Sometimes,Public_Transportation,Overweight_Level_I
+Female,18.845518,1.753471,80,yes,yes,2,1.391778,Sometimes,no,2.64548,no,2.685087,0.97554,no,Public_Transportation,Overweight_Level_I
+Male,23.562135,1.717432,75.371244,yes,yes,2,3,Sometimes,no,2,no,0.121585,1.967259,Sometimes,Public_Transportation,Overweight_Level_I
+Male,23.118327,1.677573,75,yes,yes,2,3,Sometimes,no,2,no,0.334579,1.905826,Sometimes,Public_Transportation,Overweight_Level_I
+Female,33.732714,1.679725,74.885222,yes,yes,3,1.13715,Sometimes,no,1.000695,no,0.261274,0,Sometimes,Automobile,Overweight_Level_I
+Female,21.571288,1.600914,68.058902,yes,yes,1.766849,3.322522,Sometimes,no,2.616285,no,0.943058,0.256977,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.165574,1.617749,68.908136,yes,yes,1.188089,3.269088,Sometimes,no,2.039535,no,0.779686,1.043108,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.610209,68.865008,no,yes,1.910176,2.938135,no,no,2.943097,no,0.997202,0.207922,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.612556,69.463458,no,yes,2,1.259628,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,38.692265,1.548178,62.341438,yes,yes,2.956671,2.965494,Sometimes,no,2.868132,no,0,0.54925,Sometimes,Automobile,Overweight_Level_I
+Female,38.952866,1.568441,62.855073,yes,yes,2.002796,3,Sometimes,no,2.526775,no,0.271174,0.806069,Sometimes,Automobile,Overweight_Level_I
+Female,36.631456,1.532322,62.417228,yes,yes,2.288604,2.845307,Sometimes,no,2.638164,no,0,0.990741,Sometimes,Automobile,Overweight_Level_I
+Female,21.996118,1.730199,78.997062,yes,yes,2.277077,1,Sometimes,no,2,no,1.061743,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.951309,1.730167,78.429312,yes,yes,2.138334,1,Sometimes,no,2,no,2.269058,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.018228,1.627396,70,no,yes,2,1,no,no,2.976177,no,0.780117,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.62,70,no,yes,2,1,no,no,3,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,29.934465,1.638744,69.242354,yes,yes,2.029634,3,Sometimes,no,1.827515,no,0.480206,0,Sometimes,Automobile,Overweight_Level_I
+Female,31.166572,1.680858,71.81338,yes,yes,2.048216,3,Sometimes,no,1.305816,no,0.170452,0.276806,Sometimes,Automobile,Overweight_Level_I
+Female,20.534606,1.758372,79.469513,yes,yes,2.8557,1,Sometimes,no,2.663861,no,2.762711,0.783336,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.97166,1.822573,85.084364,yes,yes,2.995599,3.095663,Sometimes,no,2.568157,no,2.7243,0.330457,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.627,1.815409,85.302146,yes,yes,2.987148,3.483449,Sometimes,no,2.359246,no,2.060415,0.598999,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.929387,1.698049,75,yes,yes,2,3,Sometimes,no,2.763573,no,1.502711,0.127879,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.009437,1.60681,67.773914,yes,yes,2,3.156309,no,no,3,no,1.179592,0.086868,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.538225,1.610327,67.999778,yes,yes,1.887951,3.728377,no,no,2.682107,no,1.123931,0.492528,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.828435,1.710415,75.142858,yes,yes,2.786008,3,Sometimes,no,2.526193,no,0.925118,2,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.814657,1.716289,75.688433,yes,yes,2,3,Sometimes,no,2,no,0.092344,1.466496,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.576682,1.834715,89.429199,yes,yes,2.342323,3.60885,Sometimes,no,2.878866,no,2,0.208323,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.814653,1.611822,67.140367,yes,yes,1.874935,3.370362,Sometimes,no,2.558773,no,1.206121,0.271024,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.979769,1.6,66.126964,yes,yes,2.213135,3,Sometimes,no,2.046766,no,2.172546,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21,1.753578,77.97917,yes,yes,2.273548,2.39007,Sometimes,no,1.648404,no,0.874643,1.102696,Sometimes,Public_Transportation,Overweight_Level_I
+Female,21.0285,1.742364,78.664618,yes,yes,2.780699,1.101404,Sometimes,no,1.579207,no,1.153775,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,18.721041,1.775626,80.113493,yes,yes,1.687569,2.756405,Sometimes,no,2.079131,no,2.931527,0.68173,no,Public_Transportation,Overweight_Level_I
+Male,21,1.714253,75,yes,yes,2,3,Sometimes,no,1.081597,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21,1.693628,75,yes,yes,2,3,Sometimes,no,1.833055,no,1,0,Sometimes,Public_Transportation,Overweight_Level_I
+Female,29.463168,1.659172,71.170001,yes,yes,2,3,Sometimes,no,1.281683,no,1.609801,0,Sometimes,Automobile,Overweight_Level_I
+Male,24.284861,1.776347,82.329047,yes,yes,1.989905,3.054899,Sometimes,no,2.080968,no,1.107543,0.939726,no,Public_Transportation,Overweight_Level_I
+Male,26.288417,1.767806,82.694689,yes,yes,1.947405,3.118013,Sometimes,no,2.136159,no,0.783963,0.88868,no,Public_Transportation,Overweight_Level_I
+Male,23.455324,1.702516,75,yes,yes,2.162519,3,Sometimes,no,2.152666,no,1.078074,1.502839,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.637203,1.814182,85.301029,yes,yes,2.923916,3.335876,Sometimes,no,2.372444,no,1.305633,0.311436,Sometimes,Public_Transportation,Overweight_Level_I
+Female,22.239836,1.59994,65.423942,no,yes,2.99448,3,Sometimes,no,1.706568,no,0.784216,0.150969,Sometimes,Public_Transportation,Overweight_Level_I
+Female,31.62638,1.666023,72.906186,yes,yes,2,3,Sometimes,no,1,no,0,1.301385,Sometimes,Automobile,Overweight_Level_I
+Male,23,1.701584,75.093569,yes,yes,3,3.205009,Sometimes,no,2.643468,no,0.998039,1.898139,Sometimes,Public_Transportation,Overweight_Level_I
+Male,22.874658,1.713343,75.828119,yes,yes,2.507841,3.648194,Sometimes,no,1.279756,no,0.132629,1.82753,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.420269,1.489409,53.620604,no,yes,1.836554,1.865238,Sometimes,no,2,yes,0.320209,1.969507,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.807828,1.518067,55.822119,no,yes,1.773265,2.118153,Sometimes,no,1.075239,yes,0.085388,1.915191,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.240576,1.616533,65.062945,yes,yes,2.388168,1,Sometimes,no,1.438018,yes,0.110887,1.165817,no,Public_Transportation,Overweight_Level_I
+Female,23.252457,1.589616,65.127324,no,yes,2.286146,2.961113,Sometimes,no,2.657303,no,1.91108,1.618227,Sometimes,Public_Transportation,Overweight_Level_I
+Female,34.772902,1.675612,73.501233,yes,yes,3,2.400943,Sometimes,no,1.509734,no,0.167125,0,Sometimes,Automobile,Overweight_Level_I
+Male,22.766227,1.874061,89.754302,yes,yes,2,2.870005,Sometimes,no,1.15031,no,0.417724,1,Sometimes,Automobile,Overweight_Level_I
+Female,39.214514,1.580765,62.631382,yes,yes,2.487167,3,Sometimes,no,2.396977,no,0.577063,0.435072,Sometimes,Automobile,Overweight_Level_I
+Male,19.858973,1.62,69.575315,no,yes,2.185938,1,no,no,2.81353,no,1,1.110222,Sometimes,Public_Transportation,Overweight_Level_I
+Female,16.370009,1.613921,66.738769,yes,yes,2.206399,1,Sometimes,no,2,yes,0.94893,1.772463,no,Public_Transportation,Overweight_Level_I
+Female,17.992717,1.618683,67.193585,yes,yes,1.952987,1,Sometimes,no,1.334856,yes,0.732276,1.890214,no,Public_Transportation,Overweight_Level_I
+Male,19.179932,1.637537,70,yes,yes,2,1.030416,Sometimes,no,2.118716,no,0.529259,0,no,Public_Transportation,Overweight_Level_I
+Female,19.621545,1.566524,61.616,no,yes,2.908757,2.696051,Sometimes,no,1.622827,yes,0.539952,0.001096,Sometimes,Public_Transportation,Overweight_Level_I
+Female,19.755797,1.542328,63.856193,no,yes,2.628791,2.762883,Sometimes,no,1.512035,yes,0.303722,0.003229,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.099015,1.6,65,yes,yes,3,2.401341,Sometimes,no,2,yes,0.663896,1.753745,Sometimes,Public_Transportation,Overweight_Level_I
+Female,17.25813,1.600184,65,yes,yes,2.749629,2.298612,Sometimes,no,2,yes,0.547515,1.619473,Sometimes,Public_Transportation,Overweight_Level_I
+Male,29.153907,1.773656,87.070234,no,yes,1.595746,3.618722,Sometimes,no,1.274389,no,1.504003,0.370067,no,Automobile,Overweight_Level_I
+Female,32.278869,1.64602,74.147443,yes,yes,2.885178,2.562895,Sometimes,no,1.017006,no,0.588673,0.916291,Sometimes,Automobile,Overweight_Level_I
+Female,31.793937,1.65015,73.810728,yes,yes,2.372494,2.849848,Sometimes,no,1.028538,no,0.675983,0.303025,Sometimes,Automobile,Overweight_Level_I
+Male,18.014333,1.751029,80,yes,yes,2,2.805436,Sometimes,no,2.122884,no,0.045651,0.017225,Frequently,Public_Transportation,Overweight_Level_I
+Male,19.685,1.838266,89.496905,yes,yes,2.153639,3.715148,Sometimes,no,2.703337,no,2,0.226097,Sometimes,Public_Transportation,Overweight_Level_I
+Male,19.506389,1.824449,87.656029,yes,yes,2.793561,3.788602,Sometimes,no,2.429059,no,2.094542,0.393358,Sometimes,Public_Transportation,Overweight_Level_I
+Female,19,1.76,79.349221,yes,yes,2,1.893811,Sometimes,no,3,no,1.376229,1.801322,no,Public_Transportation,Overweight_Level_I
+Female,18,1.622241,68.250249,yes,yes,2,1.010319,Sometimes,no,1.319437,no,0,1.626456,no,Public_Transportation,Overweight_Level_I
+Female,18.003153,1.729996,75.816864,yes,yes,2.992329,3,Sometimes,no,2.004908,no,1,1.405086,Frequently,Public_Transportation,Overweight_Level_I
+Female,18.052394,1.725233,75.970712,yes,yes,2.927409,3,Sometimes,no,2.209991,no,1,0.797215,Frequently,Public_Transportation,Overweight_Level_I
+Female,19.774317,1.541039,64.726948,no,yes,2.706134,2.669766,Sometimes,no,1.979848,yes,0.445238,0.908836,Sometimes,Public_Transportation,Overweight_Level_I
+Male,21.180346,1.773766,89.28282,yes,yes,2.010684,1.322087,Sometimes,no,2,no,0.540397,0.973834,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21.793724,1.75463,89.068227,yes,yes,2,2.041558,Sometimes,no,2.38725,no,0.813917,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,20.880161,1.674327,80,yes,yes,2,3,Sometimes,no,2,no,1.66639,1.443212,no,Public_Transportation,Overweight_Level_II
+Male,21.18354,1.72,80.555875,yes,yes,2,2.468421,Sometimes,no,2,no,2,1,no,Public_Transportation,Overweight_Level_II
+Male,32.774488,1.913241,101.482054,yes,yes,2,2.110937,Sometimes,no,2.175632,no,1,0,Sometimes,Walking,Overweight_Level_II
+Male,31.327609,1.737984,82.523113,yes,yes,2.300408,3.071028,Sometimes,no,1.738959,no,0.090147,0,Sometimes,Automobile,Overweight_Level_II
+Male,29.956198,1.703688,82.207978,yes,yes,2.119643,3.292956,Sometimes,no,1.723372,no,0,0.987102,Sometimes,Automobile,Overweight_Level_II
+Male,21.403421,1.716308,80,yes,yes,2,3,Sometimes,no,2,no,2.936551,1.40913,no,Public_Transportation,Overweight_Level_II
+Male,22.591439,1.65,80,yes,yes,2,3,Sometimes,no,2,no,0.451078,2,no,Public_Transportation,Overweight_Level_II
+Female,28.583944,1.57856,65.522744,yes,no,2,2.283673,Sometimes,no,1.970622,no,1.863258,1.581703,Sometimes,Public_Transportation,Overweight_Level_II
+Male,38.825189,1.780846,85.687751,yes,yes,2.901924,1.124977,Sometimes,no,2.76382,no,0.8554,0.999183,Sometimes,Automobile,Overweight_Level_II
+Male,35.217173,1.823168,91.630257,yes,yes,2,2.9948,Sometimes,no,1.290979,no,0.87599,0.85405,Sometimes,Automobile,Overweight_Level_II
+Female,20.392665,1.525234,65.220249,yes,no,2.451009,3,Sometimes,no,2,no,2.177243,1.323877,no,Public_Transportation,Overweight_Level_II
+Female,22.154854,1.481682,61.373868,yes,no,2,2.983297,Sometimes,no,1.453626,no,0.32896,0.509396,no,Public_Transportation,Overweight_Level_II
+Male,19.108796,1.768578,87.803311,yes,yes,2.754646,3,Sometimes,no,2.957821,no,2.242754,0.786609,Sometimes,Public_Transportation,Overweight_Level_II
+Female,20.70768,1.569878,69.743323,yes,no,2.417635,3,Sometimes,no,1.937674,no,1.417035,1,no,Public_Transportation,Overweight_Level_II
+Female,20.634694,1.568188,67.904023,yes,no,2.512719,3,Sometimes,no,1.131169,no,0.095389,1,no,Public_Transportation,Overweight_Level_II
+Male,22.052152,1.792527,89.994415,yes,yes,1.771693,1.890213,Sometimes,no,2,no,0,1.36595,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.869778,1.795311,89.868784,yes,yes,1.57223,1.888067,Sometimes,no,2,no,0,0.552498,Sometimes,Public_Transportation,Overweight_Level_II
+Female,22.909992,1.700038,80,yes,yes,2,3,Sometimes,no,2,no,0.973114,1.540298,no,Public_Transportation,Overweight_Level_II
+Female,23,1.668649,80.458343,yes,yes,2,2.256119,Sometimes,no,1.142873,no,0.807076,1.611271,no,Public_Transportation,Overweight_Level_II
+Male,24.679807,1.7,84.687554,yes,yes,2,3,Sometimes,no,2.020424,no,0,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23.884212,1.713825,83.952968,yes,yes,2,2.6648,Sometimes,no,1.810738,no,0.80989,1,Sometimes,Public_Transportation,Overweight_Level_II
+Female,25.461411,1.7,78.055968,yes,yes,2.661556,3,Sometimes,no,3,no,0.55181,0.658783,Sometimes,Public_Transportation,Overweight_Level_II
+Male,31.333798,1.835381,91.059595,yes,yes,2,3,Sometimes,no,1.18423,no,0.155579,0.453404,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.108711,1.7,80.761409,yes,yes,2,3,Sometimes,no,2.879402,no,0,0.322405,Sometimes,Public_Transportation,Overweight_Level_II
+Female,28.830558,1.7,78,yes,yes,3,3,Sometimes,no,1.699971,no,1.727114,1,Frequently,Automobile,Overweight_Level_II
+Male,17.570089,1.7,83.199034,yes,no,2.097373,2.547086,Sometimes,no,1.538626,no,1,0.761898,no,Public_Transportation,Overweight_Level_II
+Female,19.027574,1.659877,77.272652,yes,yes,2.061461,2.812283,Sometimes,no,3,no,0.362441,0.78519,Sometimes,Public_Transportation,Overweight_Level_II
+Male,25.632447,1.836943,96.192662,yes,yes,1.317729,2.278652,Sometimes,no,2,no,1.80674,1.93977,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.94313,1.819614,93.086419,yes,yes,1.882235,1.240046,Sometimes,no,2,no,0,1.541493,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23.285553,1.717775,85.312639,yes,yes,2.951591,3,Sometimes,no,2.971557,no,0,0.947192,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23,1.791867,90,yes,yes,2.067817,3,Sometimes,no,1.082084,no,0,1.922364,Sometimes,Public_Transportation,Overweight_Level_II
+Female,25.19291,1.7,80.749657,yes,yes,2.54527,3,Sometimes,no,2.269564,no,0.503122,1,Frequently,Public_Transportation,Overweight_Level_II
+Male,34.389906,1.68108,83.568035,yes,yes,2,1.660768,Sometimes,no,2.482294,no,0.891205,0,no,Automobile,Overweight_Level_II
+Female,26.595893,1.660756,78.574786,yes,yes,2,2.597608,Sometimes,no,2,no,0,0.434198,Frequently,Public_Transportation,Overweight_Level_II
+Male,55.24625,1.769269,80.491339,no,yes,2,3,Sometimes,no,2,no,1,0,no,Automobile,Overweight_Level_II
+Male,34.543563,1.765188,85,yes,yes,2.694281,3,Sometimes,no,2.653831,no,1.96582,0.891189,no,Automobile,Overweight_Level_II
+Male,21.808159,1.65,80,yes,yes,2,3,Sometimes,no,2,no,0.826609,2,no,Public_Transportation,Overweight_Level_II
+Male,18.118277,1.654757,80,yes,yes,2.821977,2.044035,Sometimes,no,1.954968,no,1,0.854536,no,Public_Transportation,Overweight_Level_II
+Female,42.189023,1.647768,79.165306,yes,yes,2,3,Sometimes,no,1,no,0,1.48189,no,Automobile,Overweight_Level_II
+Male,22,1.691303,80.539,yes,yes,2,2.038373,Sometimes,no,2,no,2.70825,1.506576,Sometimes,Public_Transportation,Overweight_Level_II
+Female,28.770852,1.532897,65.031879,yes,no,2,1,Sometimes,no,1,no,0.262171,0,no,Public_Transportation,Overweight_Level_II
+Female,25.483381,1.565288,64.848627,yes,no,2,1,Sometimes,no,1,no,0.740633,0,no,Public_Transportation,Overweight_Level_II
+Female,21.67315,1.5,63.65233,yes,no,2,1.474836,Sometimes,no,2,no,0.274838,0.613902,no,Public_Transportation,Overweight_Level_II
+Female,23.469538,1.507106,64.814109,yes,no,2.252472,3.986652,Sometimes,no,2,no,0.934286,0.890626,no,Public_Transportation,Overweight_Level_II
+Male,23,1.70074,81.32297,yes,yes,2,2.720642,Sometimes,no,1.5197,no,0.279375,1.043435,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23,1.715118,81.650778,yes,yes,2,1.976744,Sometimes,no,1.628997,no,0.880584,1.127675,Sometimes,Public_Transportation,Overweight_Level_II
+Female,38.464538,1.696423,78.967919,yes,yes,3,3,Sometimes,no,2.981604,no,0,0,no,Automobile,Overweight_Level_II
+Female,37.496175,1.653088,80,yes,yes,2.033745,3,Sometimes,no,1.517225,no,0,1.517897,no,Automobile,Overweight_Level_II
+Female,33.690239,1.681842,77.426465,yes,yes,3,2.679724,Sometimes,no,1.999737,no,1.747347,0.681773,no,Automobile,Overweight_Level_II
+Female,34.369686,1.652202,77.13322,yes,yes,2.595128,1.619796,Sometimes,no,1.642251,no,0.662831,0.999268,no,Automobile,Overweight_Level_II
+Male,31.426573,1.848683,99,yes,yes,2.759286,2.59257,Sometimes,no,2.549617,no,1.427233,0.519395,Sometimes,Automobile,Overweight_Level_II
+Male,34.288249,1.835678,96.01851,yes,yes,2,1.546665,Sometimes,no,3,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,18.863875,1.560029,71.728069,yes,no,3,3.339914,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Overweight_Level_II
+Female,18.951144,1.621048,72.105856,yes,no,3,3.884861,Sometimes,no,2,no,1,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.671876,1.699474,78,yes,no,1.925064,2.358298,Sometimes,no,2.774043,no,0,0.133566,no,Public_Transportation,Overweight_Level_II
+Male,50.832559,1.745528,82.130728,yes,yes,2,3,Sometimes,no,1.774778,no,0.943266,0,no,Automobile,Overweight_Level_II
+Male,17.971574,1.720379,85,yes,yes,2,3,Sometimes,no,2.802498,no,1,0.41758,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18,1.758787,85.050558,yes,yes,2.846981,3,Sometimes,no,2.87781,no,1,0.429081,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18.701766,1.704908,81.384224,yes,yes,2.650629,1,Sometimes,no,1.708083,no,1.876051,0.938791,Sometimes,Public_Transportation,Overweight_Level_II
+Female,34.389679,1.691322,77.561602,yes,yes,3,1.802305,Sometimes,no,2,no,0.390877,0,no,Automobile,Overweight_Level_II
+Male,17.178483,1.78629,95.277392,yes,yes,2,3,Sometimes,no,3,no,1.072318,0.651904,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.0816,1.705617,83.016968,yes,yes,2,2.7976,Sometimes,no,2.991671,no,2.148738,0,no,Automobile,Overweight_Level_II
+Male,33.270448,1.733439,84.75383,yes,yes,2.631565,2.627173,Sometimes,no,2.253422,no,2.690756,0.845774,no,Automobile,Overweight_Level_II
+Female,36.310292,1.701397,83,yes,yes,2,1,Sometimes,no,2,no,1.472172,0,no,Automobile,Overweight_Level_II
+Female,20,1.625236,74.433362,yes,no,2.522399,1.032887,Sometimes,no,2.397653,no,2.358699,0.440087,Sometimes,Public_Transportation,Overweight_Level_II
+Female,18.549437,1.545196,72.467862,yes,no,3,3.014808,Sometimes,no,2,no,1.997529,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,34.243146,1.843172,92.69551,yes,yes,2,2.271734,Sometimes,no,2.629043,no,1,0.075823,Sometimes,Automobile,Overweight_Level_II
+Male,23.32012,1.705813,82.011962,yes,yes,2.784471,2.122545,Sometimes,no,2.984153,no,2.164472,0.203978,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.703095,1.704141,78.790936,yes,no,1.650505,3,Sometimes,no,2,no,1.73234,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.223259,1.706082,78.073528,yes,no,1.961347,3,Sometimes,no,2,no,1.655488,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,29.695603,1.842943,93.798055,yes,yes,2.133955,2.902766,Sometimes,no,1.753464,no,1.729987,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,27,1.880992,99.623778,yes,yes,2.684528,1,Sometimes,no,1.05668,no,1.516147,0.084006,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21.027662,1.726774,82.853749,yes,yes,2.265973,2.687502,Sometimes,no,2,no,2.21722,0.648522,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.015258,1.73196,84.315608,yes,yes,2,3,Sometimes,no,2.205911,no,1.293396,0,no,Automobile,Overweight_Level_II
+Male,18,1.751278,86.963628,yes,no,3,3,Sometimes,no,2,no,1.271667,0.155278,Sometimes,Public_Transportation,Overweight_Level_II
+Male,30.553097,1.780448,88.431954,yes,yes,2,1.178708,Sometimes,no,1.791286,no,0.893362,0.276364,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33,1.85,97.92035,yes,yes,2,3,Sometimes,no,1.117464,no,1,0.663649,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.911994,1.785241,88.03748,yes,yes,1.306844,2.279546,Sometimes,no,2,no,0,0.739609,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.444846,1.718845,86.319887,yes,yes,2,2.677693,Sometimes,no,2.693978,no,0,0.688013,Sometimes,Public_Transportation,Overweight_Level_II
+Female,19.911246,1.530248,68.85097,yes,no,2.258795,3.53009,Sometimes,no,1.172186,no,0.678943,1,no,Public_Transportation,Overweight_Level_II
+Female,34.204408,1.664927,80.386078,yes,yes,2,3,Sometimes,no,2.641642,no,0.285889,1.50301,no,Automobile,Overweight_Level_II
+Female,34.281681,1.673333,77.205685,yes,yes,2.689929,1.835543,Sometimes,no,1.718569,no,0.674348,0.707246,no,Automobile,Overweight_Level_II
+Male,23.384374,1.725587,82.480214,yes,yes,2.712747,2.853676,Sometimes,no,1.526313,no,1,0.173665,Sometimes,Public_Transportation,Overweight_Level_II
+Female,43.238402,1.733875,86.94538,yes,yes,2.353603,2.337035,Sometimes,no,1.830614,no,0.706287,0,no,Automobile,Overweight_Level_II
+Female,45,1.675953,79.66832,yes,yes,2.598051,3,Sometimes,no,1,no,0,0,no,Automobile,Overweight_Level_II
+Male,22.087389,1.786238,89.802492,yes,yes,1.718156,1.631184,Sometimes,no,2,no,0,0.306124,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21.378039,1.718534,80,yes,yes,2,3,Sometimes,no,2,no,2.721646,1.269982,no,Public_Transportation,Overweight_Level_II
+Male,31.398281,1.919543,101.544589,yes,yes,2,1.005391,Sometimes,no,2.001936,no,1,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,31.484494,1.707613,82.586893,yes,yes,2.795086,3.250467,Sometimes,no,1.367876,no,0.022958,0,no,Automobile,Overweight_Level_II
+Male,21.709159,1.658393,80,yes,yes,2,3,Sometimes,no,2,no,2.939733,1.692287,no,Public_Transportation,Overweight_Level_II
+Female,30.711381,1.536819,65.912688,yes,no,2.030256,2.948721,Sometimes,no,1.984323,no,0.986414,0.333673,no,Public_Transportation,Overweight_Level_II
+Male,34.821442,1.805459,90.13868,yes,yes,2,1.80993,Sometimes,no,2.174835,no,0.340915,0.020153,Sometimes,Automobile,Overweight_Level_II
+Female,20.843363,1.521008,67.083121,yes,no,2.493448,3,Sometimes,no,1.849997,no,0.954459,1.444532,no,Public_Transportation,Overweight_Level_II
+Male,19.443639,1.744733,87.27989,yes,yes,2.442536,3,Sometimes,no,2.825629,no,3,0,Sometimes,Public_Transportation,Overweight_Level_II
+Female,20.492077,1.529223,65.140408,yes,no,2.003951,3,Sometimes,no,1.207978,no,1.916751,1.228995,no,Public_Transportation,Overweight_Level_II
+Male,22.944349,1.799742,89.98168,yes,yes,1.34138,1.94671,Sometimes,no,2,no,0,0.975504,Sometimes,Public_Transportation,Overweight_Level_II
+Female,23,1.681314,80.037202,yes,yes,2,2.9796,Sometimes,no,1.964435,no,0.189957,1.73216,no,Public_Transportation,Overweight_Level_II
+Male,24.06894,1.706912,85.743727,yes,yes,2,2.994198,Sometimes,no,2.747302,no,0,0.799756,Sometimes,Public_Transportation,Overweight_Level_II
+Female,23.728707,1.663509,80,yes,yes,2,3,Sometimes,no,2.13755,no,0,0.124977,no,Public_Transportation,Overweight_Level_II
+Male,29.216019,1.752265,88.096062,yes,yes,2,1.894384,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.751511,1.735343,83.337721,yes,yes,2.607335,3,Sometimes,no,2,no,0.451009,0.630866,Sometimes,Public_Transportation,Overweight_Level_II
+Female,28.977792,1.7,78,yes,yes,3,3,Sometimes,no,1.507638,no,1.82434,1,Frequently,Automobile,Overweight_Level_II
+Male,17.441593,1.7,83.414072,yes,no,2.061384,2.579291,Sometimes,no,1.909253,no,1,0.962468,Sometimes,Public_Transportation,Overweight_Level_II
+Female,19.126145,1.633794,77.858532,yes,no,2.696381,3,Sometimes,no,2.472964,no,1.856119,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.122589,1.856759,95.887056,yes,yes,1.116068,2.449067,Sometimes,no,2,no,0.92635,1.97117,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23,1.77433,90,yes,yes,2.116432,3,Sometimes,no,1.002292,no,0,1.066708,Sometimes,Public_Transportation,Overweight_Level_II
+Female,28.824194,1.7,78,yes,yes,3,3,Sometimes,no,2.147074,no,1.416076,1,Frequently,Automobile,Overweight_Level_II
+Male,34.204611,1.719509,84.416515,yes,yes,2.031246,3,Sometimes,no,2.803002,no,1.98448,0.418623,no,Automobile,Overweight_Level_II
+Female,28.167799,1.658202,78,yes,yes,2.938031,1.532833,Sometimes,no,1.931242,no,0.525002,0.371941,Frequently,Automobile,Overweight_Level_II
+Male,55.137881,1.657221,80.993213,yes,yes,2,3,Sometimes,no,2,no,1,0,no,Automobile,Overweight_Level_II
+Male,34.970367,1.713348,84.722222,yes,yes,2.884212,3,Sometimes,no,3,no,2,0.8324,no,Automobile,Overweight_Level_II
+Male,20.986834,1.677178,80.379575,yes,yes,2,2.961706,Sometimes,no,2,no,1.661556,1.114716,no,Public_Transportation,Overweight_Level_II
+Female,38.378056,1.67805,77.224574,yes,yes,2.444599,3,Sometimes,no,1.029798,no,0,0,no,Automobile,Overweight_Level_II
+Male,22.18881,1.717722,81.92991,yes,yes,2,1.152521,Sometimes,no,1.723159,no,1.39016,1.094941,Sometimes,Public_Transportation,Overweight_Level_II
+Female,21.082384,1.486484,60.117993,yes,no,2,1.104642,Sometimes,no,1,no,0,0.969097,no,Public_Transportation,Overweight_Level_II
+Female,25.293202,1.503379,64.342459,yes,no,2,1,Sometimes,no,1.639807,no,0.072117,0,no,Public_Transportation,Overweight_Level_II
+Male,23,1.718981,81.66995,yes,yes,2,1.729553,Sometimes,no,1.400247,no,0.887923,1.011983,Sometimes,Public_Transportation,Overweight_Level_II
+Female,39.170029,1.688354,79.278896,yes,yes,3,3,Sometimes,no,2.994515,no,0,0,no,Automobile,Overweight_Level_II
+Female,34.044229,1.665807,77.098973,yes,yes,2.976975,1.346987,Sometimes,no,1.868349,no,0.702538,0.879333,no,Automobile,Overweight_Level_II
+Male,33.182127,1.838441,97.029249,yes,yes,2,1.977221,Sometimes,no,3,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,19.821996,1.653431,75.090439,yes,no,2.766036,2.443812,Sometimes,no,2.707927,no,0.702839,0.827439,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.149706,1.699818,78,yes,no,1.096455,2.491315,Sometimes,no,2.450069,no,0,0.726118,Sometimes,Public_Transportation,Overweight_Level_II
+Male,46.491859,1.718097,88.600878,yes,yes,2.129969,3,Sometimes,no,1.568035,no,0.870127,0,no,Automobile,Overweight_Level_II
+Male,17.894784,1.731389,84.064875,yes,no,2.019674,2.843319,Sometimes,no,2.832004,no,1,0.608607,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18.88485,1.699667,79.67793,yes,no,2.735297,2.157164,Sometimes,no,1.087166,no,0.110174,0.003695,no,Public_Transportation,Overweight_Level_II
+Female,38.384177,1.698626,78.637307,yes,yes,3,3,Sometimes,no,2.503198,no,0,0,no,Automobile,Overweight_Level_II
+Male,22.675679,1.823765,96.945262,yes,yes,1.588782,2.601675,Sometimes,no,2.469469,no,1.736538,1.886855,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.049121,1.708742,83.001642,yes,yes,2,1.171027,Sometimes,no,2.405172,no,2.300282,0,no,Automobile,Overweight_Level_II
+Female,37.205173,1.667469,80.993373,yes,yes,2.01054,2.77684,Sometimes,no,1.651548,no,0,0.790967,no,Automobile,Overweight_Level_II
+Female,19.027417,1.588147,73.939268,yes,no,3,3.362758,Sometimes,no,2,no,2.892922,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,37.492444,1.835024,92.368359,yes,yes,2,1.672706,Sometimes,no,2.766674,no,1,0.027093,Sometimes,Automobile,Overweight_Level_II
+Male,24.657598,1.7088,83.520113,yes,yes,2.689577,2.714115,Sometimes,no,2.279214,no,0.970661,0.828549,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18.011718,1.680991,79.752916,yes,yes,2.413156,2.521546,Sometimes,no,1.985312,no,0.00705,0.965464,Sometimes,Public_Transportation,Overweight_Level_II
+Male,27.349745,1.835271,97.58826,yes,yes,2.923433,1.338033,Sometimes,no,1.944095,no,1.931829,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,18,1.742819,86.565148,yes,yes,3,3,Sometimes,no,2,no,2.040816,0.860321,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.009285,1.741192,84.773349,yes,yes,2,3,Sometimes,no,2.035954,no,1.210736,0,no,Automobile,Overweight_Level_II
+Male,18,1.759721,86.0805,yes,yes,2.882522,3,Sometimes,no,2.452986,no,1,0.746651,Sometimes,Public_Transportation,Overweight_Level_II
+Male,30.079371,1.810616,92.860254,yes,yes,2,3,Sometimes,no,1.622638,no,0.033745,0.105895,Sometimes,Public_Transportation,Overweight_Level_II
+Male,25.035915,1.763101,88.532032,yes,yes,1.973499,1.081805,Sometimes,no,2,no,0,0.464022,Sometimes,Public_Transportation,Overweight_Level_II
+Female,18.198322,1.543338,71.799982,yes,no,3,3.087119,Sometimes,no,2,no,1.403872,1,no,Public_Transportation,Overweight_Level_II
+Female,35.456326,1.651812,79.437921,yes,yes,2.156065,2.909117,Sometimes,no,1.221281,no,0.503279,1.796136,no,Automobile,Overweight_Level_II
+Male,23.806789,1.732492,84.557797,yes,yes,2.992205,3,Sometimes,no,2.413813,no,0.458237,0.688293,Sometimes,Public_Transportation,Overweight_Level_II
+Female,39.392569,1.706349,85.720788,yes,yes,2.944287,1.466393,Sometimes,no,2.442775,no,0.675262,0.779334,no,Automobile,Overweight_Level_II
+Male,21.384259,1.780679,89.667406,yes,yes,1.780746,1.471053,Sometimes,no,2,no,0.467562,0.568668,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.730414,1.758687,89.673648,yes,yes,2.164062,2.983201,Sometimes,no,2.168904,no,0.752926,0,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21.20563,1.704573,80,yes,yes,2,3,Sometimes,no,2,no,2.847761,1.413375,no,Public_Transportation,Overweight_Level_II
+Male,21.333429,1.716545,80.005809,yes,yes,2,2.783336,Sometimes,no,2,no,2.536615,1.206535,no,Public_Transportation,Overweight_Level_II
+Male,32.787101,1.903832,99.812443,yes,yes,2,1.863012,Sometimes,no,2.196471,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Male,32.610018,1.742538,83.390983,yes,yes,2.247704,3.053598,Sometimes,no,1.919629,no,0.408023,0,no,Automobile,Overweight_Level_II
+Male,30.022598,1.747739,83.314157,yes,yes,2.011656,3.165837,Sometimes,no,1.844645,no,0.889963,0.395979,no,Automobile,Overweight_Level_II
+Male,21.123048,1.717037,80,yes,yes,2,3,Sometimes,no,2,no,2.270555,1.343044,no,Public_Transportation,Overweight_Level_II
+Female,22.989846,1.65,80,yes,yes,2,3,Sometimes,no,2,no,0.146919,2,no,Public_Transportation,Overweight_Level_II
+Female,24.320154,1.577921,65.293179,yes,no,2.03414,2.741413,Sometimes,no,1.996384,no,1.276552,1.019452,no,Public_Transportation,Overweight_Level_II
+Male,37.275298,1.746055,83.282232,yes,yes,2.746408,1.058123,Sometimes,no,2.265727,no,0.885633,0.673408,no,Automobile,Overweight_Level_II
+Male,34.098174,1.841151,91.798103,yes,yes,2,2.997414,Sometimes,no,1.259454,no,0.935217,0.9976,Sometimes,Automobile,Overweight_Level_II
+Female,21.001282,1.517998,64.696248,yes,no,2.1239,1.672958,Sometimes,no,2,no,1.582428,1.313363,no,Public_Transportation,Overweight_Level_II
+Female,21.95994,1.483284,62.894283,yes,no,2,1.680838,Sometimes,no,1.833635,no,0.281876,0.575848,no,Public_Transportation,Overweight_Level_II
+Male,19.795269,1.758972,87.861431,yes,yes,2.332074,3,Sometimes,no,2.999495,no,2.405963,0.441502,Sometimes,Public_Transportation,Overweight_Level_II
+Female,19.090023,1.562434,70.442775,yes,no,2.748243,3.070386,Sometimes,no,1.962322,no,1.145752,1,no,Public_Transportation,Overweight_Level_II
+Female,20.820455,1.547066,67.473282,yes,no,2.303656,3,Sometimes,no,1.163111,no,1.926381,1.119877,no,Public_Transportation,Overweight_Level_II
+Male,22.087056,1.792435,89.998729,yes,yes,1.904732,2.608416,Sometimes,no,1.204175,no,0,1.895312,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.185756,1.784555,89.836692,yes,yes,1.979944,1.599464,Sometimes,no,2,no,0.17048,0.819475,Sometimes,Public_Transportation,Overweight_Level_II
+Female,22.980957,1.700216,80.473587,yes,yes,2,2.815255,Sometimes,no,1.622214,no,0.463891,1.462664,no,Public_Transportation,Overweight_Level_II
+Male,23,1.672101,80.939733,yes,yes,2,2.395785,Sometimes,no,1.40077,no,0.788659,1.544357,no,Public_Transportation,Overweight_Level_II
+Male,24.190896,1.7,84.849349,yes,yes,2,3,Sometimes,no,2.056053,no,0,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23.94003,1.721348,83.986714,yes,yes,2.407817,2.844138,Sometimes,no,1.983649,no,0.868721,0.089354,Sometimes,Public_Transportation,Overweight_Level_II
+Female,26.591628,1.7,78.008388,yes,yes,2.734314,3,Sometimes,no,3,no,0.897702,0.908271,Frequently,Public_Transportation,Overweight_Level_II
+Male,31.264628,1.803129,91.052215,yes,yes,2,3,Sometimes,no,1.199517,no,0.047738,0.163329,Sometimes,Public_Transportation,Overweight_Level_II
+Female,23.629159,1.70002,80.420434,yes,yes,2,3,Sometimes,no,2.386904,no,0.926201,1.34403,Sometimes,Public_Transportation,Overweight_Level_II
+Female,26.208134,1.7,78.041338,yes,yes,2.784383,3,Sometimes,no,2.165605,no,0.855973,0.839659,Frequently,Automobile,Overweight_Level_II
+Male,17.689057,1.713599,83.285753,yes,yes,2.009952,2.716106,Sometimes,no,1.660614,no,1,0.60473,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.16097,1.662728,77.473204,yes,no,2.008656,1.402771,Sometimes,no,3,no,0.112383,0.32803,Sometimes,Public_Transportation,Overweight_Level_II
+Male,25.45763,1.837399,95.952027,yes,yes,1.122127,2.865657,Sometimes,no,2,no,1.28775,1.944177,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.988004,1.80827,91.363293,yes,yes,1.963965,1.836226,Sometimes,no,1.85537,no,0,1.667745,Sometimes,Public_Transportation,Overweight_Level_II
+Male,23.603191,1.714508,85.137113,yes,yes,2.319776,2.884848,Sometimes,no,2.154898,no,0.325534,0.954216,Sometimes,Public_Transportation,Overweight_Level_II
+Male,22.882558,1.793451,89.909259,yes,yes,1.899116,2.375026,Sometimes,no,1.39854,no,0,1.365793,Sometimes,Public_Transportation,Overweight_Level_II
+Female,23.586058,1.700499,81.108599,yes,yes,2.042762,2.9774,Sometimes,no,1.522426,no,0.501417,1.029135,Sometimes,Public_Transportation,Overweight_Level_II
+Male,34.432669,1.694997,84.451423,yes,yes,2.129668,2.693646,Sometimes,no,2.60669,no,1.170823,0.290898,no,Automobile,Overweight_Level_II
+Female,25.472995,1.688911,78.434492,yes,yes,2.182401,2.832018,Sometimes,no,2.456939,no,0.038809,0.524015,Frequently,Public_Transportation,Overweight_Level_II
+Male,55.022494,1.673394,80.400306,yes,yes,2,3,Sometimes,no,2,no,1,0,no,Automobile,Overweight_Level_II
+Male,34.647036,1.769499,85,yes,yes,2.802696,3,Sometimes,no,2.978465,no,1.974656,0.936925,no,Automobile,Overweight_Level_II
+Male,21.997335,1.65,80,yes,yes,2,3,Sometimes,no,2,no,0.527341,2,no,Public_Transportation,Overweight_Level_II
+Male,18.181821,1.662669,79.863546,yes,no,2.492758,2.270163,Sometimes,no,1.992586,no,1.452467,0.864583,no,Public_Transportation,Overweight_Level_II
+Female,41.743333,1.67861,79.849252,yes,yes,2.733129,3,Sometimes,no,1.302594,no,0,1.103349,no,Automobile,Overweight_Level_II
+Male,21.473078,1.694423,80.311273,yes,yes,2,2.646717,Sometimes,no,2,no,2.627515,1.358812,no,Public_Transportation,Overweight_Level_II
+Female,27.757187,1.505437,63.892071,yes,no,2,1,Sometimes,no,1.278578,no,0.02112,0,no,Public_Transportation,Overweight_Level_II
+Female,25.113537,1.505387,63.715219,yes,no,2,1.193729,Sometimes,no,1.846441,no,0.546402,0.235711,no,Public_Transportation,Overweight_Level_II
+Female,21.82165,1.491441,62.269912,yes,no,2,1.477581,Sometimes,no,1.995035,no,0.324676,0.51743,no,Public_Transportation,Overweight_Level_II
+Female,20.670975,1.509408,64.852953,yes,no,2.294067,3.209508,Sometimes,no,2,no,1.103088,1.261043,no,Public_Transportation,Overweight_Level_II
+Male,22.649792,1.685045,81.022119,yes,yes,2,2.756622,Sometimes,no,1.606076,no,0.432973,1.749586,no,Public_Transportation,Overweight_Level_II
+Male,23.154311,1.723072,82.338464,yes,yes,2.315932,2.658478,Sometimes,no,1.568476,no,0.949976,0.544899,Sometimes,Public_Transportation,Overweight_Level_II
+Female,38.097395,1.696954,78.156035,yes,yes,3,3,Sometimes,no,2.166024,no,0,0,no,Automobile,Overweight_Level_II
+Female,37.642177,1.676095,79.079738,yes,yes,2.802128,3,Sometimes,no,1.744628,no,0,0.721167,no,Automobile,Overweight_Level_II
+Female,34.176795,1.681021,77.392179,yes,yes,2.79606,1.971472,Sometimes,no,1.921601,no,0.935217,0.704637,no,Automobile,Overweight_Level_II
+Female,34.231083,1.654067,79.697278,yes,yes,2.086898,1.818026,Sometimes,no,2.088929,no,0.305422,1.040787,no,Automobile,Overweight_Level_II
+Male,31.965402,1.840708,98.259423,yes,yes,2.333503,1.820779,Sometimes,no,2.559265,no,1.327193,0.481357,Sometimes,Automobile,Overweight_Level_II
+Male,33.185661,1.836007,97.416417,yes,yes,2,1.724887,Sometimes,no,3,no,1,0,Sometimes,Automobile,Overweight_Level_II
+Female,18.741188,1.556789,71.788181,yes,no,3,3.129155,Sometimes,no,2,no,1.634134,1,no,Public_Transportation,Overweight_Level_II
+Female,19.955257,1.5891,72.713611,yes,no,3,3.856434,Sometimes,no,2,no,1.32417,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.684891,1.700627,78.048207,yes,no,1.653081,2.753418,Sometimes,no,2.192063,no,1.474937,0.518542,Sometimes,Public_Transportation,Overweight_Level_II
+Male,47.7061,1.743935,84.729197,yes,yes,2.535315,3,Sometimes,no,1.146595,no,0.31381,0,no,Automobile,Overweight_Level_II
+Male,17.997009,1.742654,85,yes,no,2,3,Sometimes,no,2.976229,no,1,0.121992,Sometimes,Public_Transportation,Overweight_Level_II
+Male,17.971786,1.754441,85.002884,yes,yes,2.765769,3,Sometimes,no,2.845134,no,1,0.42683,Sometimes,Public_Transportation,Overweight_Level_II
+Male,20.432717,1.719342,80.790813,yes,yes,2.215464,2.116195,Sometimes,no,1.80996,no,1.910577,0.971746,no,Public_Transportation,Overweight_Level_II
+Female,33.954433,1.682253,77.431678,yes,yes,3,2.049908,Sometimes,no,1.999882,no,1.637368,0.10724,no,Automobile,Overweight_Level_II
+Male,17.039058,1.799902,95.419668,yes,yes,2,3,Sometimes,no,3,no,1.04729,0.933802,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.070142,1.709428,83.014033,yes,yes,2,1.044628,Sometimes,no,2.01051,no,2.805801,0,no,Automobile,Overweight_Level_II
+Male,34.993835,1.752456,84.783756,yes,yes,2.63165,2.98212,Sometimes,no,2.778587,no,2.667739,0.905181,no,Automobile,Overweight_Level_II
+Male,35.719457,1.685947,83.3258,yes,yes,2,1.009426,Sometimes,no,2.136398,no,1.060349,0,no,Automobile,Overweight_Level_II
+Female,19.005725,1.599999,73.513873,yes,no,2.942154,2.667711,Sometimes,no,2.184768,no,1.524405,0.805008,Sometimes,Public_Transportation,Overweight_Level_II
+Female,18.850466,1.550053,72.9518,yes,no,3,3.000974,Sometimes,no,2,no,2.274248,1,Sometimes,Public_Transportation,Overweight_Level_II
+Male,31.540751,1.828092,91.495718,yes,yes,2,2.698883,Sometimes,no,2.035104,no,0.598438,0.017016,Sometimes,Automobile,Overweight_Level_II
+Male,23.335391,1.71338,82.085549,yes,yes,2.716909,2.598079,Sometimes,no,2.90545,no,1.600431,0.176892,Sometimes,Public_Transportation,Overweight_Level_II
+Male,19.749627,1.680764,79.621463,yes,no,1.83746,3,Sometimes,no,2,no,1.194519,1.212762,no,Public_Transportation,Overweight_Level_II
+Male,19.565496,1.705584,78.025625,yes,no,1.936479,2.837388,Sometimes,no,2.159987,no,1.475772,0.646514,Sometimes,Public_Transportation,Overweight_Level_II
+Male,30.357745,1.841852,93.614246,yes,yes,2.045027,2.946063,Sometimes,no,1.307563,no,1.442485,0.934493,Sometimes,Public_Transportation,Overweight_Level_II
+Male,27,1.834986,99.083478,yes,yes,2.760607,1,Sometimes,no,1.336378,no,1.898889,0.487375,Sometimes,Public_Transportation,Overweight_Level_II
+Male,21.380336,1.724839,82.27635,yes,yes,2.09449,1.873484,Sometimes,no,2,no,2.079709,0.880414,Sometimes,Public_Transportation,Overweight_Level_II
+Male,33.151905,1.685127,83.986895,yes,yes,2,2.473911,Sometimes,no,2.452789,no,0.932792,0,no,Automobile,Overweight_Level_II
+Male,18,1.750097,86.372141,yes,yes,2.907062,3,Sometimes,no,2.740848,no,1.219827,0.037634,Sometimes,Public_Transportation,Overweight_Level_II
+Male,32.241587,1.757961,87.906019,yes,yes,2,1.79558,Sometimes,no,1.855054,no,1.083572,0.218574,Sometimes,Public_Transportation,Overweight_Level_II
+Male,31.662814,1.848965,98.912261,yes,yes,2.399531,2.623079,Sometimes,no,2.535127,no,1.030752,0.606264,Sometimes,Automobile,Overweight_Level_II
+Male,24.347414,1.789193,89.393589,yes,yes,1.521604,2.174968,Sometimes,no,2,no,0,0.632467,Sometimes,Public_Transportation,Overweight_Level_II
+Male,24.362124,1.716677,85.261339,yes,yes,2,2.676148,Sometimes,no,2.083939,no,0.632164,0.993786,Sometimes,Public_Transportation,Overweight_Level_II
+Female,19.462713,1.550122,69.936073,yes,no,2.501683,3.394788,Sometimes,no,1.337378,no,0.932888,1,no,Public_Transportation,Overweight_Level_II
+Female,35.432059,1.663178,80.135167,yes,yes,2,3,Sometimes,no,1.992548,no,0.039207,1.528714,no,Automobile,Overweight_Level_II
+Female,33.864257,1.679299,77.355417,yes,yes,2.76802,2.137068,Sometimes,no,1.873591,no,0.966973,0.691944,no,Automobile,Overweight_Level_II
+Male,23.807181,1.729177,82.52724,yes,yes,2.742796,2.937607,Sometimes,no,1.99467,no,1,0.023564,Sometimes,Public_Transportation,Overweight_Level_II
+Male,39.585811,1.719153,86.464843,yes,yes,2.325623,1.313403,Sometimes,no,1.94609,no,0.604259,0,no,Automobile,Overweight_Level_II
+Female,45.821267,1.687326,80.413997,yes,yes,2.076689,3,Sometimes,no,1.026729,no,0.647798,0,no,Automobile,Overweight_Level_II
+Male,25.929746,1.772449,105,yes,yes,3,3,Sometimes,no,2.045069,no,1.725931,1.619596,Sometimes,Public_Transportation,Obesity_Type_I
+Male,26.042738,1.837117,105.712219,yes,yes,3,3,Sometimes,no,2.509147,no,2,1.564796,Sometimes,Public_Transportation,Obesity_Type_I
+Male,30.551762,1.784377,102.872505,yes,yes,2.271306,3,Sometimes,no,1.771198,no,2,0.413752,Sometimes,Automobile,Obesity_Type_I
+Male,39.759575,1.792507,101.780099,yes,yes,2.33361,2.113575,Sometimes,no,2.504136,no,2.998981,1,Sometimes,Automobile,Obesity_Type_I
+Female,31.386405,1.556579,78.233341,yes,yes,2.13683,2.092179,Sometimes,no,1.505381,no,0,0,Sometimes,Public_Transportation,Obesity_Type_I
+Female,25.706285,1.585547,80.351263,yes,yes,2,1,Sometimes,no,2,no,0,0,Sometimes,Public_Transportation,Obesity_Type_I
+Female,43.604901,1.569234,81.827288,yes,yes,2.909853,1,Sometimes,no,2,no,1.308852,0,no,Automobile,Obesity_Type_I
+Female,42.31607,1.583943,81.936398,yes,yes,2.490507,2.974204,Sometimes,no,1.846754,no,0,0,no,Automobile,Obesity_Type_I
+Female,22.654316,1.621233,82,yes,yes,1.063449,1,Sometimes,no,2,no,0,1.482016,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.679935,1.6084,82.603984,yes,yes,2.699282,1,Sometimes,no,2.598632,no,0.292093,2,Sometimes,Public_Transportation,Obesity_Type_I
+Male,24.079524,1.733439,97.911865,yes,yes,2,3,Sometimes,no,2.843675,no,1.309304,1.338655,no,Public_Transportation,Obesity_Type_I
+Male,21.196152,1.65,88.472359,yes,yes,2.4277,1.001633,Sometimes,no,3,no,1.172641,1,no,Public_Transportation,Obesity_Type_I
+Female,22.596576,1.650052,87.272552,yes,yes,2.87599,1.2919,Sometimes,no,2.777712,no,0.432813,1,no,Public_Transportation,Obesity_Type_I
+Female,23,1.644161,84.340406,yes,yes,2.177243,3,Sometimes,no,2.715572,no,2.230109,0.070897,no,Public_Transportation,Obesity_Type_I
+Female,37.356288,1.559499,77.26813,yes,yes,2,3,Sometimes,no,1.630528,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,22.754646,1.734237,95,yes,yes,2,3,Sometimes,no,2.287248,no,2.669179,1.237867,no,Public_Transportation,Obesity_Type_I
+Male,23.252906,1.775815,97.813023,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Female,22.025438,1.640426,87.344156,yes,yes,3,1,Sometimes,no,3,no,1.280924,1.77795,no,Public_Transportation,Obesity_Type_I
+Female,18.086772,1.65,82.13682,yes,yes,3,3,Sometimes,no,1,no,1.02975,1.350099,Sometimes,Public_Transportation,Obesity_Type_I
+Male,25.994393,1.753321,107.998815,yes,yes,3,3,Sometimes,no,1.776991,no,1.757724,0,Sometimes,Automobile,Obesity_Type_I
+Female,40.821515,1.553026,77.74518,yes,yes,2,3,Sometimes,no,1.406115,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,23,1.706525,90.500055,yes,yes,2,3,Sometimes,no,1.530493,no,0.967627,1,no,Public_Transportation,Obesity_Type_I
+Female,37.955371,1.560648,80,yes,yes,2.846452,1.139317,Sometimes,no,1.459511,no,1.71807,0,Sometimes,Automobile,Obesity_Type_I
+Male,31.315593,1.673352,90,yes,yes,2.19011,2.029858,Sometimes,no,2.348981,no,1.946907,0,Sometimes,Automobile,Obesity_Type_I
+Male,22.661556,1.660324,94.189167,yes,yes,2,3,Sometimes,no,2,no,0,0.105936,no,Public_Transportation,Obesity_Type_I
+Male,40.317787,1.786318,98.447311,yes,yes,2,3,Sometimes,no,2.680292,no,1.549693,0.522259,Sometimes,Automobile,Obesity_Type_I
+Male,23.365649,1.757691,95.361795,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Male,21.72127,1.712163,98.699971,yes,yes,2,2.977543,Sometimes,no,2.205977,no,2.698874,2,no,Public_Transportation,Obesity_Type_I
+Male,35.389491,1.78,100.84763,yes,yes,2.069267,1.476204,Sometimes,no,3,no,2.05252,0.092736,Frequently,Automobile,Obesity_Type_I
+Female,22.061461,1.6,82.040318,yes,yes,1.362441,2.57038,Sometimes,no,2.166228,no,2.232851,1.281141,no,Public_Transportation,Obesity_Type_I
+Female,23,1.61082,82.532994,yes,yes,2.09663,2.879541,Sometimes,no,2.432967,no,1.887012,0,no,Public_Transportation,Obesity_Type_I
+Female,23,1.665199,83.15115,yes,yes,2.928234,1.458507,Sometimes,no,2.777379,no,0.354541,1.707018,no,Public_Transportation,Obesity_Type_I
+Female,40.951591,1.542122,80,yes,yes,2,1.105617,Sometimes,no,1.372811,no,1.629432,0,Sometimes,Automobile,Obesity_Type_I
+Female,39.135634,1.507867,79.58958,yes,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,26.271621,1.660955,90,yes,yes,2,3,Sometimes,no,3,no,0.669278,0.505266,Sometimes,Automobile,Obesity_Type_I
+Female,23.779235,1.553127,78,yes,yes,2,1,Sometimes,no,2,no,0.827502,0,no,Public_Transportation,Obesity_Type_I
+Male,20.586978,1.781952,102.910613,yes,yes,2,3,Sometimes,no,1.689793,no,1.464204,0,no,Public_Transportation,Obesity_Type_I
+Male,21.669478,1.75,96.940255,yes,yes,2,3,Sometimes,no,2.771469,no,2.359339,1.206251,no,Public_Transportation,Obesity_Type_I
+Female,23,1.615854,80.615325,yes,yes,2,1,Sometimes,no,2,no,0.026142,0,no,Public_Transportation,Obesity_Type_I
+Male,20.825962,1.793378,105.655037,yes,yes,2,3,Sometimes,no,1.155384,no,0.003938,0.526999,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18.178023,1.85478,114.77484,yes,yes,2,1.854536,Sometimes,no,2.160169,no,1,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18,1.685633,90.032671,yes,yes,2.496455,3,Sometimes,no,1.850344,no,1.066101,0.732265,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18.267696,1.706343,93.348843,yes,yes,1.70825,3,Sometimes,no,1,no,0.899864,1,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.791415,105.138073,yes,yes,2.262171,3,Sometimes,no,2.03415,no,0.317363,0.508663,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.753716,106.49141,yes,yes,2.740633,3,Sometimes,no,2.081005,no,0.650235,0.76906,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.9859,1.780503,103.189532,yes,yes,2,3,Sometimes,no,1.608128,no,0.478134,0,no,Public_Transportation,Obesity_Type_I
+Male,21.504943,1.819867,106.038468,yes,yes,2,3,Sometimes,no,2.715252,no,0,0.621605,no,Public_Transportation,Obesity_Type_I
+Male,18,1.791174,108.9606,yes,yes,2,1.08687,Sometimes,no,2.279124,no,1,1.609773,no,Public_Transportation,Obesity_Type_I
+Male,18,1.82093,108.742005,yes,yes,2,1.25535,Sometimes,no,2.497065,no,1,1.441605,no,Public_Transportation,Obesity_Type_I
+Female,19.442663,1.627812,82,yes,yes,1.081585,2.870661,Sometimes,no,1.11756,no,0,1.616826,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.865018,1.632118,82,yes,yes,2.587789,1.482103,Sometimes,no,1.911664,no,0,0.128681,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.948577,1.773594,105.000789,yes,yes,2.252653,3,Sometimes,no,2.962371,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.214617,1.930416,118.560509,yes,yes,2,3,Sometimes,no,3,no,0.732186,1,Sometimes,Public_Transportation,Obesity_Type_I
+Male,22.277859,1.947406,116.893105,yes,yes,2,3,Sometimes,no,3,no,0.975187,1,Sometimes,Public_Transportation,Obesity_Type_I
+Female,37.832949,1.610867,80,yes,yes,2.036613,1.81698,Sometimes,no,1.93059,no,1.851404,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.631769,1.513202,75.410647,yes,yes,2,2.582591,Sometimes,no,1.535134,no,1.88452,0,Sometimes,Automobile,Obesity_Type_I
+Male,17.6739,1.738465,97.185474,yes,yes,2,3,Sometimes,no,2,no,0,0.233314,no,Public_Transportation,Obesity_Type_I
+Female,37.524551,1.567915,76.129784,yes,yes,2,3,Sometimes,no,2.102976,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,43.510672,1.587546,76.126112,yes,yes,2,3,Sometimes,no,2.091934,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,18,1.820385,108.395005,yes,yes,2,2.164839,Sometimes,no,2.094479,no,1,0.676557,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18,1.792239,108.244379,yes,yes,2,2.141839,Sometimes,no,2.939847,no,1,0.103056,Sometimes,Public_Transportation,Obesity_Type_I
+Male,29.506287,1.82697,108.751502,yes,yes,2,2.877583,Sometimes,no,2.358038,no,0.877295,1.817146,Sometimes,Automobile,Obesity_Type_I
+Female,18,1.670058,86.242679,yes,yes,2.609123,3,Sometimes,no,1.955053,no,1.186013,0,no,Public_Transportation,Obesity_Type_I
+Male,24.733308,1.639383,91.267087,yes,yes,1.036159,3,Sometimes,no,1,no,0.344013,0.329367,Sometimes,Automobile,Obesity_Type_I
+Male,29,1.682916,89.991671,yes,yes,1.851262,3,Sometimes,no,2.11267,no,0.388269,0,Sometimes,Automobile,Obesity_Type_I
+Female,18,1.609321,84.493156,yes,yes,2,3,Sometimes,no,1.051735,no,1,0,no,Public_Transportation,Obesity_Type_I
+Male,21.098035,1.690437,96.366777,yes,yes,2,2.95833,Sometimes,no,2,no,0,1.595306,no,Public_Transportation,Obesity_Type_I
+Male,19.089595,1.700164,99.204695,yes,yes,2,2.119826,Sometimes,no,2,no,0,1.882539,no,Public_Transportation,Obesity_Type_I
+Female,18.312665,1.60074,82.249831,yes,yes,2.501236,3,Sometimes,no,1.220331,no,0.245003,0.537202,no,Public_Transportation,Obesity_Type_I
+Male,18.260079,1.801848,104.741914,yes,yes,2,3,Sometimes,no,3,no,1.783858,0,no,Public_Transportation,Obesity_Type_I
+Male,26.004294,1.844751,105.025808,yes,yes,3,3,Sometimes,no,2.925029,no,2,1.758865,Sometimes,Public_Transportation,Obesity_Type_I
+Male,25.994746,1.811602,106.042142,yes,yes,3,3,Sometimes,no,2.858171,no,1.813318,0.680215,Sometimes,Public_Transportation,Obesity_Type_I
+Male,36.726617,1.787521,100.624553,yes,yes,2.031185,2.992606,Sometimes,no,2.852254,no,2.00123,0.36037,Frequently,Automobile,Obesity_Type_I
+Male,38.297259,1.789109,100.066268,yes,yes,2.014194,2.050121,Sometimes,no,2.184707,no,2.000561,0.853891,Frequently,Automobile,Obesity_Type_I
+Female,30.163408,1.533364,78.030383,yes,yes,2.028225,1.923607,Sometimes,no,1.798917,no,0,0,no,Public_Transportation,Obesity_Type_I
+Female,28.770039,1.580858,79.713492,yes,yes,2,1,Sometimes,no,2,no,0.005405,0,no,Public_Transportation,Obesity_Type_I
+Female,42.337283,1.64639,86.639861,yes,yes,2.81646,2.27374,Sometimes,no,1.722063,no,0,0,no,Automobile,Obesity_Type_I
+Female,47.283374,1.643786,81.978743,yes,yes,2.037585,1.418985,Sometimes,no,1.827351,no,0,0,no,Automobile,Obesity_Type_I
+Female,22.518787,1.634342,82.414477,yes,yes,1.853314,1.320768,Sometimes,no,2.135552,no,0.248034,1.727828,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.836315,1.604893,82,yes,yes,1.00876,1,Sometimes,no,2,no,0,0.585912,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.654961,94.790579,yes,yes,2,3,Sometimes,no,1.490613,no,0.654316,1,no,Public_Transportation,Obesity_Type_I
+Male,22.975526,1.701986,95,yes,yes,2,3,Sometimes,no,2.02127,no,1.814869,1.066603,no,Public_Transportation,Obesity_Type_I
+Male,22.720449,1.65,89.139209,yes,yes,2.103335,2.964024,Sometimes,no,3,no,0.632947,1,no,Public_Transportation,Obesity_Type_I
+Male,23.887569,1.657995,90,yes,yes,2,3,Sometimes,no,3,no,0.603638,0.969085,no,Public_Transportation,Obesity_Type_I
+Female,23,1.634688,82.628,yes,yes,2.060922,2.933409,Sometimes,no,2.235282,no,0.380633,0.0026,no,Public_Transportation,Obesity_Type_I
+Female,23,1.628168,84.49798,yes,yes,2.058687,2.962004,Sometimes,no,2.010596,no,0.851059,0.630866,no,Public_Transportation,Obesity_Type_I
+Female,38.148845,1.557808,79.661693,yes,yes,2,3,Sometimes,no,1.274774,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.96543,1.560199,80,yes,yes,2.533605,1.271624,Sometimes,no,1.893691,no,1.296535,0,Sometimes,Automobile,Obesity_Type_I
+Male,22.771612,1.750384,95.324282,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Male,22.582371,1.753081,95.269089,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Female,21.008051,1.65,88.126544,yes,yes,2.457547,1.00061,Sometimes,no,3,no,1.361533,1,no,Public_Transportation,Obesity_Type_I
+Female,22.591026,1.650012,87.676154,yes,yes,2.983851,1.068443,Sometimes,no,2.854161,no,1.103209,1,no,Public_Transportation,Obesity_Type_I
+Female,16.129279,1.65,85.583485,yes,yes,2.954996,3,Sometimes,no,1,no,2.091862,1.06053,no,Public_Transportation,Obesity_Type_I
+Female,16.913841,1.634832,85.803809,yes,yes,2.061969,3,Sometimes,no,1.229171,no,2.392047,1.256119,no,Public_Transportation,Obesity_Type_I
+Male,29.43879,1.770126,108.602715,yes,yes,3,3,Sometimes,no,1.163264,no,1.866023,1.604608,Sometimes,Automobile,Obesity_Type_I
+Male,29.881301,1.758189,108.721893,yes,yes,3,3,Sometimes,no,1.271178,no,1.944728,0,Sometimes,Automobile,Obesity_Type_I
+Female,43.591999,1.595165,77.354744,yes,yes,2,3,Sometimes,no,2.117346,no,0,0,no,Automobile,Obesity_Type_I
+Female,40.993179,1.567756,79.493626,yes,yes,2,3,Sometimes,no,2.952506,no,0,0,no,Automobile,Obesity_Type_I
+Male,22.936098,1.702825,93.638318,yes,yes,2,3,Sometimes,no,1.746197,no,0.455216,0.335158,no,Public_Transportation,Obesity_Type_I
+Male,23,1.735659,93.429205,yes,yes,2,3,Sometimes,no,1.249307,no,0.973465,1,no,Public_Transportation,Obesity_Type_I
+Female,37.597953,1.62901,80,yes,yes,2.450784,2.952821,Sometimes,no,1.335192,no,0.180276,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.532066,1.615385,80,yes,yes,2.972426,3,Sometimes,no,1.636326,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,31.630054,1.671705,90,yes,yes,2.467002,1.851088,Sometimes,no,2.104054,no,1.991565,0,Sometimes,Automobile,Obesity_Type_I
+Male,31.641081,1.676595,89.993812,yes,yes,2.934671,2.119682,Sometimes,no,2.041462,no,0.578074,0,Sometimes,Automobile,Obesity_Type_I
+Male,21.872484,1.699998,95.564428,yes,yes,2,2.970675,Sometimes,no,2,no,0,0.169294,no,Public_Transportation,Obesity_Type_I
+Male,21.834894,1.722785,94.094184,yes,yes,2,2.966803,Sometimes,no,2,no,0,1.281541,no,Public_Transportation,Obesity_Type_I
+Male,36.023972,1.670667,90.575934,yes,yes,2.903545,1.508685,Sometimes,no,2.450069,no,1.45473,0,Sometimes,Automobile,Obesity_Type_I
+Male,39.656559,1.789992,98.021766,yes,yes,2.043359,2.209314,Sometimes,no,2.785804,no,1.259613,0.669616,Sometimes,Automobile,Obesity_Type_I
+Male,24.184891,1.768834,97.449743,yes,yes,2,3,Sometimes,no,2.973729,no,2.491642,1.36595,no,Public_Transportation,Obesity_Type_I
+Male,23.237302,1.761008,97.829344,yes,yes,2,3,Sometimes,no,2.988771,no,2.429923,1.978043,no,Public_Transportation,Obesity_Type_I
+Male,35.322112,1.78,102.265955,yes,yes,2.787589,1.114564,Sometimes,no,3,no,2.710338,0.572185,Sometimes,Automobile,Obesity_Type_I
+Male,31.387982,1.810215,105.254354,yes,yes,2.39728,2.036794,Sometimes,no,2.659419,no,1.062011,1.771135,Sometimes,Automobile,Obesity_Type_I
+Female,23,1.608469,82.954796,yes,yes,2.150054,2.988539,Sometimes,no,2.768325,no,2.08515,0,no,Public_Transportation,Obesity_Type_I
+Female,23,1.630357,83.1011,yes,yes,2.977585,1.630506,Sometimes,no,2.839319,no,1.091474,0.889517,no,Public_Transportation,Obesity_Type_I
+Female,22.679454,1.62826,82.967937,yes,yes,2.274491,1,Sometimes,no,2.2695,no,0.946461,1.73107,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.480889,1.605662,82.470375,yes,yes,1.557287,1,Sometimes,no,2.371015,no,0.288032,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,41.403862,1.567973,81.056851,yes,yes,2.152264,2.977999,Sometimes,no,1.513199,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,40.702771,1.548403,80,yes,yes,2,3,Sometimes,no,1.326165,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,29.389239,1.681855,90,yes,yes,2.08841,2.644692,Sometimes,no,2.773236,no,1.252472,0,Sometimes,Automobile,Obesity_Type_I
+Male,30.967417,1.688436,90,yes,yes,2.180047,2.733077,Sometimes,no,2.77962,no,1.454129,0,Sometimes,Automobile,Obesity_Type_I
+Female,23.474165,1.577115,78,yes,yes,2,1,Sometimes,no,2,no,0.876101,0,no,Public_Transportation,Obesity_Type_I
+Female,24.317607,1.586751,79.109029,yes,yes,2,1,Sometimes,no,2,no,0.852446,0,no,Public_Transportation,Obesity_Type_I
+Male,17.052914,1.710616,99.860254,yes,yes,2,3,Sometimes,no,2,no,0.067491,0.894105,no,Public_Transportation,Obesity_Type_I
+Male,18.04892,1.721384,99.430612,yes,yes,2,3,Sometimes,no,2,no,1.579431,0.839862,no,Public_Transportation,Obesity_Type_I
+Female,22.875223,1.624367,82,yes,yes,1.826885,1,Sometimes,no,2,no,0,0.459274,no,Public_Transportation,Obesity_Type_I
+Female,22.884722,1.622787,82,yes,yes,1.754401,1,Sometimes,no,2,no,0,0.301909,no,Public_Transportation,Obesity_Type_I
+Male,18.729566,1.855433,112.875283,yes,yes,2,2.427137,Sometimes,no,2.574073,no,1,2,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.011124,1.856315,118.183797,yes,yes,2,3,Sometimes,no,3,no,0.788585,1.220029,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18.603496,1.681719,90.671871,yes,yes,1.524428,3,Sometimes,no,1.383831,no,0.130417,1,Sometimes,Public_Transportation,Obesity_Type_I
+Female,21.106056,1.722884,92.949254,yes,yes,1.164062,3,Sometimes,no,1.157395,no,0,0.320851,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.799406,106.528811,yes,yes,2.123159,3,Sometimes,no,2.415343,no,0.295178,0.569852,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.980847,1.819875,106.048516,yes,yes,2,3,Sometimes,no,2.745242,no,0,0.80898,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.016665,1.790172,105.042194,yes,yes,2.259679,3,Sometimes,no,1.026143,no,0.268801,0.077818,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.72738,1.783782,105.000276,yes,yes,2.044326,3,Sometimes,no,2.35818,no,0.349371,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18,1.783906,109.207614,yes,yes,2,1.867836,Sometimes,no,2.438398,no,1,0.802305,no,Public_Transportation,Obesity_Type_I
+Male,18,1.844218,109.195529,yes,yes,2,1.548407,Sometimes,no,2.191401,no,1,1.676944,no,Public_Transportation,Obesity_Type_I
+Female,19.431662,1.631662,82,yes,yes,2.843456,2.937989,Sometimes,no,1.001995,no,0,1.554404,no,Public_Transportation,Obesity_Type_I
+Female,18.166318,1.649553,82.323954,yes,yes,2.864776,3,Sometimes,no,1.876915,no,0.631565,0.186414,no,Public_Transportation,Obesity_Type_I
+Male,22.352025,1.754711,105.000706,yes,yes,2.871137,3,Sometimes,no,2.627569,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,22.469351,1.762515,105.000097,yes,yes,2.282803,3,Sometimes,no,2.104264,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,19.524698,1.942725,121.657979,yes,yes,2,3,Sometimes,no,3,no,1,1.014808,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.491475,1.975663,120.702935,yes,yes,2,3,Sometimes,no,3,no,0.767013,1,Sometimes,Public_Transportation,Obesity_Type_I
+Female,39.213399,1.586301,80,yes,yes,2.020502,1.237454,Sometimes,no,1.93142,no,1.967973,0,Sometimes,Automobile,Obesity_Type_I
+Female,38.098745,1.598448,80,yes,yes,2.020785,1.169173,Sometimes,no,1.972551,no,1.903338,0,Sometimes,Automobile,Obesity_Type_I
+Male,19.034033,1.703098,98.296651,yes,yes,2,2.391753,Sometimes,no,2,no,0,1.119877,no,Public_Transportation,Obesity_Type_I
+Male,17.073648,1.706996,99.544696,yes,yes,2,3,Sometimes,no,2,no,1.73209,0.048617,no,Public_Transportation,Obesity_Type_I
+Female,38.547267,1.526472,75.150345,yes,yes,2,3,Sometimes,no,1.084442,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,38.683794,1.501993,76.642944,yes,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,18,1.784402,108.413119,yes,yes,2,2.475444,Sometimes,no,2.655795,no,1,0.169879,no,Public_Transportation,Obesity_Type_I
+Male,18,1.792687,108.204547,yes,yes,2,2.478794,Sometimes,no,2.967064,no,1,0.4346,no,Public_Transportation,Obesity_Type_I
+Male,29.622804,1.814052,109.411622,yes,yes,2.407817,2.070033,Sometimes,no,1.796257,no,1.234483,0.178708,Sometimes,Automobile,Obesity_Type_I
+Male,30.79626,1.789421,109.599453,yes,yes,2.21498,2.282392,Sometimes,no,1.179942,no,1.771754,0.537659,Sometimes,Automobile,Obesity_Type_I
+Female,18,1.686904,90.004046,yes,yes,2.737149,3,Sometimes,no,1.997195,no,1.352663,0.468483,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18.107092,1.703259,91.499683,yes,yes,1.899793,3,Sometimes,no,1.439962,no,0.9529,0.838847,Sometimes,Public_Transportation,Obesity_Type_I
+Male,31.335093,1.665798,89.738596,yes,yes,2.274164,1.049534,Sometimes,no,1.358172,no,1.482411,0,Sometimes,Automobile,Obesity_Type_I
+Male,29,1.66671,89.048151,yes,yes,1.897796,3,Sometimes,no,1.193039,no,0.011519,0,Sometimes,Automobile,Obesity_Type_I
+Female,18.011903,1.65,84.210535,yes,yes,2.85916,3,Sometimes,no,1,no,1.020525,0.786066,no,Public_Transportation,Obesity_Type_I
+Female,18,1.649439,84.897738,yes,yes,2,3,Sometimes,no,1.039313,no,1,0,no,Public_Transportation,Obesity_Type_I
+Male,21.077356,1.702002,97.971598,yes,yes,2,1.66338,Sometimes,no,2,no,0,1.865851,no,Public_Transportation,Obesity_Type_I
+Male,21.052016,1.69382,99.530971,yes,yes,2,1.672751,Sometimes,no,2,no,0,1.946173,no,Public_Transportation,Obesity_Type_I
+Female,18.078256,1.622999,82.403076,yes,yes,2.340405,3,Sometimes,no,1.655245,no,1.006884,0.548539,no,Public_Transportation,Obesity_Type_I
+Female,18.063582,1.633675,82.459577,yes,yes,2.921576,3,Sometimes,no,1.003636,no,1.000227,0.905596,no,Public_Transportation,Obesity_Type_I
+Male,20.418832,1.836669,105.257543,yes,yes,2,3,Sometimes,no,2.793505,no,2.21939,0.202902,no,Public_Transportation,Obesity_Type_I
+Male,20.580984,1.798354,103.705418,yes,yes,2,3,Sometimes,no,2.401315,no,2.891986,0,no,Public_Transportation,Obesity_Type_I
+Male,26.032416,1.824432,105.131956,yes,yes,3,3,Sometimes,no,2.110611,no,1.890907,1.58483,Sometimes,Public_Transportation,Obesity_Type_I
+Male,25.955361,1.830384,105.479313,yes,yes,3,3,Sometimes,no,2.480277,no,1.796779,1.596562,Sometimes,Public_Transportation,Obesity_Type_I
+Male,26.015448,1.829907,105.436173,yes,yes,3,3,Sometimes,no,2.224914,no,1.781589,1.59405,Sometimes,Public_Transportation,Obesity_Type_I
+Male,25.920738,1.823755,105.800158,yes,yes,2.92711,3,Sometimes,no,2.151496,no,1.166064,1.509831,Sometimes,Public_Transportation,Obesity_Type_I
+Male,29.633715,1.834842,105.19936,yes,yes,2.805533,3,Sometimes,no,1.882847,no,2,0.70778,Sometimes,Automobile,Obesity_Type_I
+Male,32.895637,1.783901,103.771371,yes,yes,2.902469,1.734762,Sometimes,no,2.600238,no,2.113992,0.584755,Sometimes,Automobile,Obesity_Type_I
+Male,38.748307,1.782067,103.586342,yes,yes,2.845961,1.92822,Sometimes,no,2.642273,no,2.999918,1,Frequently,Automobile,Obesity_Type_I
+Male,39.685846,1.781032,96.303855,yes,yes,2.252698,2.475228,Sometimes,no,2.923856,no,2.165429,0.616045,Frequently,Automobile,Obesity_Type_I
+Female,33.226808,1.557943,77.647716,yes,yes,2.02091,2.093831,Sometimes,no,1.506518,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,26.220065,1.560258,78.435904,yes,yes,2.108163,1.231915,Sometimes,no,1.808127,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,23.090215,1.596586,80.726195,yes,yes,1.518966,1,Sometimes,no,2,no,0,1.094046,no,Public_Transportation,Obesity_Type_I
+Female,24.565628,1.62093,81.718232,yes,yes,2.260543,1.374791,Sometimes,no,1.947935,no,0,0.078607,no,Public_Transportation,Obesity_Type_I
+Female,42.586285,1.571417,81.918809,yes,yes,2.522183,1.326982,Sometimes,no,1.872673,no,1.048507,0,no,Automobile,Obesity_Type_I
+Female,43.719395,1.584322,80.986496,yes,yes,2.186322,2.900915,Sometimes,no,2.471033,no,0.256113,0,no,Automobile,Obesity_Type_I
+Female,43.37634,1.582523,81.919454,yes,yes,2.76632,1.317884,Sometimes,no,1.889341,no,0.990642,0,no,Automobile,Obesity_Type_I
+Female,39.648946,1.572791,80.086524,yes,yes,2.071622,2.977909,Sometimes,no,1.468297,no,0,0,no,Automobile,Obesity_Type_I
+Female,22.693989,1.627908,82,yes,yes,1.918251,1.355752,Sometimes,no,1.998108,no,0,1.382906,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.676243,1.620938,82.283185,yes,yes,1.967061,1,Sometimes,no,2.548651,no,0.249264,1.516731,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.804818,1.613119,82.636162,yes,yes,2.964419,1,Sometimes,no,2.977516,no,0.742113,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.857123,1.62686,82.410189,yes,yes,2.640801,1.015488,Sometimes,no,2.022355,no,0.244749,0.289218,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23.096353,1.728183,97.959899,yes,yes,2,2.986172,Sometimes,no,2.364208,no,2.492402,1.632506,no,Public_Transportation,Obesity_Type_I
+Male,22.815416,1.732694,98.44113,yes,yes,2,2.993623,Sometimes,no,2.326635,no,2.236586,1.529423,no,Public_Transportation,Obesity_Type_I
+Female,21.02064,1.65,88.129437,yes,yes,2.870152,1.001383,Sometimes,no,3,no,1.322558,1,no,Public_Transportation,Obesity_Type_I
+Female,21.001458,1.65,88.026943,yes,yes,2.482575,1.001542,Sometimes,no,3,no,1.751656,1,no,Public_Transportation,Obesity_Type_I
+Female,22.87795,1.66913,86.002736,yes,yes,2.290095,2.590283,Sometimes,no,2.506296,no,0.312254,1,no,Public_Transportation,Obesity_Type_I
+Female,22.847618,1.669136,85.568385,yes,yes,2.074843,1.773916,Sometimes,no,2.428271,no,0.035091,1,no,Public_Transportation,Obesity_Type_I
+Female,23,1.611058,84.191125,yes,yes,2.14128,2.989112,Sometimes,no,2.519841,no,2.11137,0.013483,no,Public_Transportation,Obesity_Type_I
+Female,23,1.649736,84.134712,yes,yes,2.334474,1.496776,Sometimes,no,2.776724,no,0.782416,0.167728,no,Public_Transportation,Obesity_Type_I
+Female,39.129291,1.532643,77.550345,yes,yes,2,3,Sometimes,no,1.186996,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.441044,1.524293,76.202761,yes,yes,2,2.994046,Sometimes,no,1.603549,no,1.335857,0,Sometimes,Automobile,Obesity_Type_I
+Male,22.969366,1.701634,95,yes,yes,2,3,Sometimes,no,2.133469,no,1.030199,1.082838,no,Public_Transportation,Obesity_Type_I
+Male,22.735328,1.723921,94.743892,yes,yes,2,3,Sometimes,no,2.183149,no,1.932386,0.212767,no,Public_Transportation,Obesity_Type_I
+Male,23.32471,1.769484,96.078462,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Male,23.668137,1.777416,97.842406,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Female,21.895468,1.64456,88.119139,yes,yes,2.693859,1.000283,Sometimes,no,3,no,1.201403,1.612432,no,Public_Transportation,Obesity_Type_I
+Female,21.3928,1.641149,88.079177,yes,yes,2.607747,1.000414,Sometimes,no,3,no,1.269169,1.460564,no,Public_Transportation,Obesity_Type_I
+Female,18.178076,1.642892,82.144405,yes,yes,2.66889,3,Sometimes,no,1.172593,no,0.886448,1.252677,no,Public_Transportation,Obesity_Type_I
+Female,18.907514,1.65,82.01831,yes,yes,3,3,Sometimes,no,1,no,0.215187,1.195929,no,Public_Transportation,Obesity_Type_I
+Male,26.011928,1.777251,106.452367,yes,yes,3,3,Sometimes,no,1.911379,no,1.911096,1.032392,Sometimes,Public_Transportation,Obesity_Type_I
+Male,25.696736,1.814696,107.55963,yes,yes,2.921225,3,Sometimes,no,2.869439,no,0.181753,0.133523,Sometimes,Public_Transportation,Obesity_Type_I
+Female,40.466313,1.559005,77.601483,yes,yes,2,3,Sometimes,no,1.572371,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,38.445148,1.556028,77.684229,yes,yes,2,3,Sometimes,no,1.440629,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,24.473062,1.653751,91.204753,yes,yes,1.492834,3,Sometimes,no,1.005367,no,0.922739,0.733221,no,Automobile,Obesity_Type_I
+Male,23.479181,1.680171,91.068054,yes,yes,1.220024,3,Sometimes,no,1.046254,no,0.520989,0.61599,no,Automobile,Obesity_Type_I
+Female,38.397463,1.552648,80,yes,yes,2.667676,1.135278,Sometimes,no,1.399629,no,1.648883,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.974483,1.560215,80,yes,yes,2.569075,2.463113,Sometimes,no,1.567366,no,0.359134,0,Sometimes,Automobile,Obesity_Type_I
+Male,31.783524,1.672959,90,yes,yes,2.949242,1.782109,Sometimes,no,2.210997,no,1.992719,0,Sometimes,Automobile,Obesity_Type_I
+Male,29.681308,1.680058,89.994351,yes,yes,2.104772,2.376374,Sometimes,no,2.218691,no,1.52184,0,Sometimes,Automobile,Obesity_Type_I
+Male,21.587743,1.664752,94.256547,yes,yes,2,2.976098,Sometimes,no,2,no,0,1.39322,no,Public_Transportation,Obesity_Type_I
+Male,21.746113,1.668553,94.454394,yes,yes,2,2.968098,Sometimes,no,2,no,0,1.292476,no,Public_Transportation,Obesity_Type_I
+Male,39.569004,1.785286,100.431625,yes,yes,2.871768,1.792695,Sometimes,no,2.691322,no,2.545707,0.903903,Frequently,Automobile,Obesity_Type_I
+Male,36.67933,1.780725,98.790167,yes,yes,2.540949,1.116401,Sometimes,no,2.929123,no,2.787319,0.732881,Frequently,Automobile,Obesity_Type_I
+Male,22.927011,1.751046,95.285898,yes,yes,2,3,Sometimes,no,2.530301,no,2.89118,1.287117,no,Public_Transportation,Obesity_Type_I
+Male,23.329344,1.751365,95.290429,yes,yes,2,3,Sometimes,no,3,no,3,2,no,Public_Transportation,Obesity_Type_I
+Male,22.126325,1.717262,98.579156,yes,yes,2,2.984523,Sometimes,no,2.263551,no,2.819661,2,no,Public_Transportation,Obesity_Type_I
+Male,21.679158,1.741393,98.182498,yes,yes,2,2.978103,Sometimes,no,2.668261,no,2.462269,1.402414,no,Public_Transportation,Obesity_Type_I
+Male,36.673882,1.7921,101.285765,yes,yes,2.222282,1.578751,Sometimes,no,2.791604,no,2.352091,0.317846,Sometimes,Automobile,Obesity_Type_I
+Male,37.936044,1.785957,99.199287,yes,yes,2.04516,1.874532,Sometimes,no,2.856521,no,2.005286,0.105408,Sometimes,Automobile,Obesity_Type_I
+Female,22.226815,1.609068,83.785312,yes,yes,2.094184,2.735706,Sometimes,no,2.257922,no,2.230547,0.195339,no,Public_Transportation,Obesity_Type_I
+Female,22.538932,1.603963,82.012637,yes,yes,1.123672,1.014916,Sometimes,no,2.042078,no,1.846666,1.426103,no,Public_Transportation,Obesity_Type_I
+Female,22.307413,1.605495,82.528575,yes,yes,2.049112,2.622055,Sometimes,no,2.280555,no,2.052896,0.896185,no,Public_Transportation,Obesity_Type_I
+Female,22.362877,1.607182,82.368441,yes,yes,1.880534,2.806566,Sometimes,no,2.313245,no,2.146778,0.196084,no,Public_Transportation,Obesity_Type_I
+Female,22.89974,1.661715,82.595793,yes,yes,1.203754,1.355354,Sometimes,no,2.765593,no,0.128342,1.659476,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.997168,1.655742,82.46376,yes,yes,2.73691,1.478334,Sometimes,no,2.677409,no,0.065264,0.40699,Sometimes,Public_Transportation,Obesity_Type_I
+Female,38.895069,1.549257,80,yes,yes,2.736628,1.130751,Sometimes,no,1.385175,no,1.666965,0,Sometimes,Automobile,Obesity_Type_I
+Female,40.789529,1.549748,80,yes,yes,2,1.099151,Sometimes,no,1.687611,no,1.874662,0,Sometimes,Automobile,Obesity_Type_I
+Female,40.654155,1.52906,79.760922,yes,yes,2,3,Sometimes,no,1,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,38.542937,1.517248,79.843221,yes,yes,2,3,Sometimes,no,1.095134,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,25.95383,1.65731,90,yes,yes,2,3,Sometimes,no,3,no,0.413643,0.920858,Sometimes,Automobile,Obesity_Type_I
+Male,26.826961,1.673287,90,yes,yes,2,3,Sometimes,no,3,no,0.884935,0.12228,Sometimes,Automobile,Obesity_Type_I
+Female,23.803904,1.581527,78.089575,yes,yes,2,1,Sometimes,no,2,no,0.057758,0,no,Public_Transportation,Obesity_Type_I
+Female,23.652435,1.562724,80.535698,yes,yes,2,1,Sometimes,no,2,no,0.389717,0,no,Public_Transportation,Obesity_Type_I
+Male,20.677105,1.781251,102.950929,yes,yes,2,3,Sometimes,no,1.618189,no,0.571648,0,no,Public_Transportation,Obesity_Type_I
+Male,21.797388,1.775584,103.605896,yes,yes,2.121909,3,Sometimes,no,2.500556,no,1.20758,0,no,Public_Transportation,Obesity_Type_I
+Male,22.719385,1.746645,96.875502,yes,yes,2,3,Sometimes,no,2.714091,no,2.64102,1.224737,no,Public_Transportation,Obesity_Type_I
+Male,22.177099,1.741353,96.738014,yes,yes,2,3,Sometimes,no,2.697661,no,2.614909,1.229474,no,Public_Transportation,Obesity_Type_I
+Female,23.099906,1.571812,78.997166,yes,yes,2,1,Sometimes,no,2,no,0.402614,0,no,Public_Transportation,Obesity_Type_I
+Female,24.17851,1.589027,80.553067,yes,yes,2,1,Sometimes,no,2,no,0.011477,0,no,Public_Transportation,Obesity_Type_I
+Male,20.924808,1.803245,105.686091,yes,yes,2,3,Sometimes,no,2.290368,no,0.001086,0.544128,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.975973,1.792646,105.619143,yes,yes,2,3,Sometimes,no,1.025275,no,0.00203,0.175587,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.856301,1.87199,115.627554,yes,yes,2,2.358455,Sometimes,no,2.515765,no,0.98232,1.157466,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18.140751,1.859056,111.235188,yes,yes,2,1.706551,Sometimes,no,2.039514,no,1,2,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18,1.692242,90.019501,yes,yes,2.642744,3,Sometimes,no,1.904054,no,1.645654,0.363549,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18,1.683,90.924208,yes,yes,2.387426,3,Sometimes,no,1.77962,no,0.743005,0.920162,Sometimes,Public_Transportation,Obesity_Type_I
+Female,20.206358,1.738397,93.890682,yes,yes,1.996638,3,Sometimes,no,1.033199,no,0.584793,0.518297,Sometimes,Public_Transportation,Obesity_Type_I
+Female,18.152876,1.694969,92.508122,yes,yes,2.107854,3,Sometimes,no,1.383894,no,1.030526,0.831412,Sometimes,Public_Transportation,Obesity_Type_I
+Male,22.336216,1.785718,105.055686,yes,yes,2.253707,3,Sometimes,no,2.524432,no,0.58216,0.175694,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.7425,105.028665,yes,yes,2.393837,3,Sometimes,no,2.01499,no,0.978815,0.41322,Sometimes,Public_Transportation,Obesity_Type_I
+Male,22.088059,1.803132,106.329569,yes,yes,2.348745,3,Sometimes,no,2.096751,no,0.544564,0.67688,Sometimes,Public_Transportation,Obesity_Type_I
+Male,23,1.774644,105.966894,yes,yes,2.312825,3,Sometimes,no,2.073497,no,0.614466,0.579541,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.993067,1.782269,104.97003,yes,yes,2,3,Sometimes,no,1.234943,no,0.008368,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.654752,1.780791,102.921218,yes,yes,2,3,Sometimes,no,1.613829,no,1.251665,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.624552,1.790151,106.320686,yes,yes,2.490776,3,Sometimes,no,2.654517,no,0.112454,0.756339,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.682636,1.818641,105.496975,yes,yes,2.078082,3,Sometimes,no,2.895614,no,0.06275,0.261793,Sometimes,Public_Transportation,Obesity_Type_I
+Male,18,1.806827,108.829395,yes,yes,2,1.24884,Sometimes,no,2.416213,no,1,1.546738,no,Public_Transportation,Obesity_Type_I
+Male,18,1.811189,108.800964,yes,yes,2,1.250548,Sometimes,no,2.121176,no,1,0.741069,no,Public_Transportation,Obesity_Type_I
+Male,18,1.811738,108.897324,yes,yes,2,1.202179,Sometimes,no,2.36293,no,1,1.47574,no,Public_Transportation,Obesity_Type_I
+Male,18,1.799779,108.934574,yes,yes,2,1.194815,Sometimes,no,2.434832,no,1,1.541455,no,Public_Transportation,Obesity_Type_I
+Female,19.374207,1.632605,82,yes,yes,2.805512,2.880817,Sometimes,no,1.001307,no,0,1.376597,Sometimes,Public_Transportation,Obesity_Type_I
+Female,19.275687,1.623377,82.851318,yes,yes,1.276858,2.918124,Sometimes,no,1.403784,no,0.552511,1.560402,Sometimes,Public_Transportation,Obesity_Type_I
+Female,22.956845,1.618686,81.281578,yes,yes,2.396265,1.073421,Sometimes,no,1.979833,no,0.022598,0.061282,no,Public_Transportation,Obesity_Type_I
+Female,22.829681,1.616085,82.582954,yes,yes,2.663866,1.416309,Sometimes,no,2.379275,no,0.256323,0.598244,no,Public_Transportation,Obesity_Type_I
+Male,22.200779,1.769328,105.000576,yes,yes,2.685484,3,Sometimes,no,2.649459,no,1,0,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.688557,1.807029,105.696358,yes,yes,2.055209,3,Sometimes,no,2.885852,no,0.903369,0.14451,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.803186,1.882533,117.468516,yes,yes,2,2.18162,Sometimes,no,2.325091,no,0.891444,1.223661,Sometimes,Public_Transportation,Obesity_Type_I
+Male,19.515324,1.879144,112.932984,yes,yes,2,2.152733,Sometimes,no,2.53369,no,0.917563,1.285838,Sometimes,Public_Transportation,Obesity_Type_I
+Male,21.962219,1.931263,118.20313,yes,yes,2,3,Sometimes,no,3,no,0.743593,1,Sometimes,Public_Transportation,Obesity_Type_I
+Male,20.534089,1.861358,115.39792,yes,yes,2,3,Sometimes,no,3,no,0.987591,1.914531,Sometimes,Public_Transportation,Obesity_Type_I
+Female,39.29266,1.567131,80,yes,yes,2.025479,1.046144,Sometimes,no,1.941224,no,1.983265,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.872971,1.565366,80,yes,yes,2.002564,1.974233,Sometimes,no,1.935398,no,1.649299,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.613378,1.516007,77.033049,yes,yes,2,2.880794,Sometimes,no,1.61837,no,0.120165,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.471683,1.549812,76.082517,yes,yes,2,2.765213,Sometimes,no,1.551266,no,1.350001,0,Sometimes,Automobile,Obesity_Type_I
+Male,18.611197,1.714143,96.568814,yes,yes,2,2.967089,Sometimes,no,2,no,0,0.467048,no,Public_Transportation,Obesity_Type_I
+Male,17.412629,1.723191,97.350366,yes,yes,2,3,Sometimes,no,2,no,0,0.931721,no,Public_Transportation,Obesity_Type_I
+Female,39.12631,1.562889,76.65949,yes,yes,2,3,Sometimes,no,1.440526,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,37.063599,1.502609,75.279605,yes,yes,2,3,Sometimes,no,1.759803,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,41.318302,1.544937,77.053948,yes,yes,2,3,Sometimes,no,2.090413,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Female,43.726081,1.592316,77.00103,yes,yes,2,3,Sometimes,no,2.806922,no,0,0,Sometimes,Automobile,Obesity_Type_I
+Male,18,1.787733,108.019211,yes,yes,2,2.37985,Sometimes,no,2.616138,no,1,0.652485,no,Public_Transportation,Obesity_Type_I
+Male,18,1.782722,108.044313,yes,yes,2,2.655265,Sometimes,no,2.297896,no,1,0.552665,no,Public_Transportation,Obesity_Type_I
+Male,18,1.797523,108.316462,yes,yes,2,1.941307,Sometimes,no,2.708168,no,1,1.425852,no,Public_Transportation,Obesity_Type_I
+Male,18,1.803527,108.251044,yes,yes,2,1.709546,Sometimes,no,2.530157,no,1,0.6454,no,Public_Transportation,Obesity_Type_I
+Male,29.409825,1.801224,108.15619,yes,yes,2.385502,2.883984,Sometimes,no,2.140544,no,1.144876,1.767468,Sometimes,Automobile,Obesity_Type_I
+Male,28.421533,1.829239,107.10819,yes,yes,2.465575,2.935381,Sometimes,no,2.480555,no,1.00183,1.670313,Sometimes,Automobile,Obesity_Type_I
+Female,18,1.692913,89.93889,yes,yes,2.818502,3,Sometimes,no,1.991251,no,1.492967,0,no,Public_Transportation,Obesity_Type_I
+Female,18,1.668555,85.607466,yes,yes,2.081238,3,Sometimes,no,1.18363,no,1.17177,0,no,Public_Transportation,Obesity_Type_I
+Male,23.246702,1.652971,93.310284,yes,yes,1.368978,3,Sometimes,no,1.953152,no,0.104707,0.22183,no,Automobile,Obesity_Type_I
+Male,24.481032,1.661277,90.744965,yes,yes,1.712848,3,Sometimes,no,1.162153,no,0.458981,0.885532,no,Automobile,Obesity_Type_I
+Male,29,1.641784,89.424947,yes,yes,1.3307,3,Sometimes,no,1.880967,no,0.322013,0,Sometimes,Automobile,Obesity_Type_I
+Male,27.968765,1.673767,89.995034,yes,yes,1.961069,3,Sometimes,no,2.652327,no,0.56931,0.319008,Sometimes,Automobile,Obesity_Type_I
+Female,18.024744,1.617192,83.121811,yes,yes,2.976509,3,Sometimes,no,1.022705,no,1.02569,0.313016,no,Public_Transportation,Obesity_Type_I
+Female,18.10682,1.602129,82.412665,yes,yes,2.319648,3,Sometimes,no,1.107164,no,0.692123,0.30402,no,Public_Transportation,Obesity_Type_I
+Male,21.379676,1.701413,96.710735,yes,yes,2,2.961192,Sometimes,no,2.623344,no,0.981686,1.35537,no,Public_Transportation,Obesity_Type_I
+Male,21.353237,1.709731,95.032177,yes,yes,2,2.973476,Sometimes,no,2,no,0,1.331527,no,Public_Transportation,Obesity_Type_I
+Male,20.338815,1.698829,98.572753,yes,yes,2,2.392811,Sometimes,no,2,no,0,1.80931,no,Public_Transportation,Obesity_Type_I
+Male,20.720639,1.705304,99.873716,yes,yes,2,1.293342,Sometimes,no,2,no,0,1.917679,no,Public_Transportation,Obesity_Type_I
+Female,19.045357,1.61291,82.193405,yes,yes,1.261288,2.930044,Sometimes,no,1.166655,no,0.133398,0.95174,no,Public_Transportation,Obesity_Type_I
+Female,18.945961,1.605469,82.039,yes,yes,2.76533,3,Sometimes,no,1.048584,no,0.192559,0.720411,no,Public_Transportation,Obesity_Type_I
+Male,18.88061,1.80416,104.40682,yes,yes,2,3,Sometimes,no,3,no,2.2405,0,no,Public_Transportation,Obesity_Type_I
+Male,19.850524,1.785062,104.187314,yes,yes,2,3,Sometimes,no,2.15157,no,1.605983,0,no,Public_Transportation,Obesity_Type_I
+Male,30.200946,1.755926,112.289883,yes,yes,2.317734,3,Sometimes,no,2.152736,no,0,1.108145,no,Automobile,Obesity_Type_II
+Male,25.314589,1.787802,115.127662,yes,yes,1.588114,3,Sometimes,no,2.115967,no,1.541072,0,no,Automobile,Obesity_Type_II
+Male,37.186795,1.704877,107.94747,yes,yes,2.549782,3.985442,Sometimes,no,1,no,1.976582,0,no,Public_Transportation,Obesity_Type_II
+Male,32.707653,1.695347,102.810704,yes,yes,2.795086,2.129909,Sometimes,no,1,no,1.989316,0,no,Public_Transportation,Obesity_Type_II
+Male,27.562425,1.908608,128.828122,yes,yes,2.206276,3,Sometimes,no,1.813082,no,1.94984,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.421596,1.819296,122.137917,yes,yes,2,3,Sometimes,no,1.984323,no,0.793262,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.945139,1.773259,118.154345,yes,no,2.18354,3,Sometimes,no,2.277937,no,0.68183,0,Sometimes,Automobile,Obesity_Type_II
+Male,34.139453,1.774647,120.151967,yes,no,2.962415,3,Sometimes,no,2.172649,no,1.097905,0,Sometimes,Automobile,Obesity_Type_II
+Male,26.225442,1.773664,116.160329,yes,yes,2.442536,3,Sometimes,no,2.174371,no,0,1.928972,Sometimes,Public_Transportation,Obesity_Type_II
+Male,28.363149,1.793476,112.725005,yes,yes,1.99124,3,Sometimes,no,2,no,0,0.292956,Sometimes,Public_Transportation,Obesity_Type_II
+Male,27.991467,1.82559,120.860386,yes,yes,3,3,Sometimes,no,3,no,0.691369,1.415536,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.498751,1.885543,121.253083,yes,yes,2.408561,3,Sometimes,no,2.851904,no,1.320065,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.605225,1.75,120,yes,yes,2.758394,3,Sometimes,yes,2.174248,no,1.079524,1.358163,Sometimes,Automobile,Obesity_Type_II
+Male,31.457413,1.87407,128.867444,yes,yes,2.956297,3,Sometimes,yes,1.2751,no,0.901924,1.875023,Sometimes,Automobile,Obesity_Type_II
+Male,24.82929,1.755967,112.256165,yes,yes,1.369529,3,Sometimes,no,2,no,1.596576,0.0026,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.739421,1.757069,117.298233,yes,yes,1.392665,3,Sometimes,no,2,no,1.097983,0.630866,Sometimes,Public_Transportation,Obesity_Type_II
+Male,41,1.75,116.594351,yes,yes,2,2.831771,Sometimes,no,1.725226,no,0.356288,0,Sometimes,Automobile,Obesity_Type_II
+Male,27.83173,1.704028,101.634313,yes,yes,2.630401,1,Sometimes,no,1,no,0.245354,0.315261,Sometimes,Automobile,Obesity_Type_II
+Male,23.260061,1.849003,121.414744,yes,yes,3,2.595126,Sometimes,no,2.054072,no,0.835271,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.705772,1.841989,122.024954,yes,yes,3,2.52751,Sometimes,no,1.645338,no,1.025438,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.041043,1.613491,98.490766,yes,yes,3,2.120936,Sometimes,no,1,no,1.543386,0.890213,no,Public_Transportation,Obesity_Type_II
+Male,20.013906,1.647821,106.509947,yes,yes,2.869778,1.468948,Sometimes,no,1.656082,no,0,1.444033,no,Public_Transportation,Obesity_Type_II
+Male,30.02019,1.75834,112.010504,yes,yes,1.868212,3,Sometimes,no,2.023328,no,0,0.613992,Sometimes,Automobile,Obesity_Type_II
+Male,25.15462,1.758398,112.089022,yes,yes,1.108663,3,Sometimes,no,2,no,1.230219,0.001716,Sometimes,Automobile,Obesity_Type_II
+Male,30.870724,1.670774,101.626189,yes,yes,2.907744,3.990925,Sometimes,no,1,no,1.99975,0,no,Public_Transportation,Obesity_Type_II
+Male,28.712995,1.665585,98.66176,yes,yes,2.95801,2.834253,Sometimes,no,1,no,1.999886,0,no,Public_Transportation,Obesity_Type_II
+Male,30.710511,1.914186,129.852531,yes,yes,2.197261,3,Sometimes,no,1.11184,no,0.906843,0.976473,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.827481,1.899588,124.269251,yes,yes,2.048962,3,Sometimes,no,2.822871,no,1.066169,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.86893,1.75,118.102897,yes,yes,2.139196,3,Sometimes,no,2.04843,no,0.368026,0.360986,Sometimes,Automobile,Obesity_Type_II
+Male,36.542885,1.75,119.434645,yes,yes,2.72989,3,Sometimes,no,2.030084,no,0.592607,0.754417,Sometimes,Automobile,Obesity_Type_II
+Male,21.556361,1.773664,116.160329,yes,yes,2,3,Sometimes,no,2,no,1.399183,1,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.963649,1.792998,116.102615,yes,yes,1.994679,3,Sometimes,no,2,no,0.966617,0.739006,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.145295,1.82559,120.860386,yes,yes,2.403421,3,Sometimes,no,2.490613,no,2,0.707768,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.2984,1.827279,120.996074,yes,yes,3,3,Sometimes,no,3,no,1.110215,0.396352,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.755387,1.775416,121.204668,yes,yes,2.758394,3,Sometimes,no,2.161303,no,0.428173,0.716327,Sometimes,Automobile,Obesity_Type_II
+Male,30.62865,1.766975,118.363376,yes,yes,2.964319,3,Sometimes,no,2.377257,no,0.614959,1.875023,Sometimes,Automobile,Obesity_Type_II
+Male,23.454558,1.754218,117.384745,yes,yes,1.617093,3,Sometimes,no,2,no,1.818052,0.631825,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.432227,1.754996,119.087557,yes,yes,1.631144,3,Sometimes,no,2,no,1.593183,0.86374,Sometimes,Public_Transportation,Obesity_Type_II
+Male,40.50021,1.748103,108.308112,yes,yes,2.317459,3.734323,Sometimes,no,1,no,1.628637,0,no,Automobile,Obesity_Type_II
+Male,34.576714,1.73325,103.669116,yes,yes,2.501224,2.049565,Sometimes,no,1,no,1.746583,0,no,Automobile,Obesity_Type_II
+Male,22.276969,1.84995,121.786485,yes,yes,3,2.272214,Sometimes,no,1.555534,no,0.348839,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,21.963787,1.849601,122.333425,yes,yes,3,2.218285,Sometimes,no,1.340117,no,0.428259,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.001685,1.606066,99.961731,yes,yes,3,1.418833,Sometimes,no,1,no,1.19102,1.384186,no,Public_Transportation,Obesity_Type_II
+Male,20.027764,1.611434,103.175516,yes,yes,2.983042,1.109956,Sometimes,no,1.430444,no,0,1.690901,no,Public_Transportation,Obesity_Type_II
+Male,28.704462,1.762887,113.90198,yes,yes,2.323351,3,Sometimes,no,2.165048,no,0,1.493716,Sometimes,Automobile,Obesity_Type_II
+Male,26.774115,1.755938,112.287678,yes,yes,1.428289,3,Sometimes,no,2.117733,no,0.485322,0.696948,Sometimes,Automobile,Obesity_Type_II
+Male,25.539411,1.787052,115.428276,yes,yes,1.992889,3,Sometimes,no,2.141271,no,1.121038,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.300208,1.765258,114.330023,yes,yes,1.562804,3,Sometimes,no,2.075493,no,1.553734,0.000436,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.194458,1.726279,110.714711,yes,yes,1.794825,3.914454,Sometimes,no,1.972016,no,0.668963,0,no,Automobile,Obesity_Type_II
+Male,40.794057,1.735851,109.889334,yes,yes,2.305349,3.169089,Sometimes,no,1.02161,no,0.908981,0,no,Automobile,Obesity_Type_II
+Male,33.55336,1.699793,103.841672,yes,yes,2.576449,2.419656,Sometimes,no,1,no,1.982379,0,no,Public_Transportation,Obesity_Type_II
+Male,30.304203,1.703202,103.0344,yes,yes,2.754645,2.175432,Sometimes,no,1.541733,no,0.358709,1.0739,no,Public_Transportation,Obesity_Type_II
+Male,30.958051,1.906821,128.856677,yes,yes,2.633855,3,Sometimes,no,1.619305,no,1.847802,0.424612,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.429687,1.910987,129.935666,yes,yes,2.200588,3,Sometimes,no,1.295697,no,1.058378,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.520854,1.784049,120.644178,yes,yes,2.499108,3,Sometimes,no,2.040952,no,0.838739,0.489854,Sometimes,Automobile,Obesity_Type_II
+Male,30.610436,1.783914,120.549592,yes,yes,2.05687,3,Sometimes,no,2.358088,no,0.093418,1.759954,Sometimes,Automobile,Obesity_Type_II
+Male,26.740655,1.863883,120.202596,yes,yes,2.247795,3,Sometimes,no,2.816015,no,0.712726,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.680376,1.812259,118.277657,yes,yes,2.239634,3,Sometimes,no,2.684264,no,0.979306,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,37.056193,1.75015,118.206565,yes,yes,2.09283,3,Sometimes,no,2.077704,no,0.598655,0,Sometimes,Automobile,Obesity_Type_II
+Male,28.825279,1.815347,120.399758,yes,yes,2.9673,3,Sometimes,no,2.530035,no,1.045107,0.947866,Sometimes,Automobile,Obesity_Type_II
+Male,25.883749,1.767077,114.133149,yes,yes,2.225731,3,Sometimes,no,2.154326,no,1.266866,0.390178,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.486521,1.762461,115.531622,yes,yes,2.178308,3,Sometimes,no,2.165804,no,1.420675,1.875683,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.883021,1.779049,112.438508,yes,yes,2.065752,3,Sometimes,no,2.078297,no,0,0.677354,Sometimes,Automobile,Obesity_Type_II
+Male,26.957645,1.780731,112.957922,yes,yes,2.263245,3,Sometimes,no,2.092509,no,0,1.836853,Sometimes,Automobile,Obesity_Type_II
+Male,26.490926,1.872517,120.898397,yes,yes,2.443538,3,Sometimes,no,2.939492,no,1.208142,0.738935,Sometimes,Public_Transportation,Obesity_Type_II
+Male,27.558801,1.801224,119.050381,yes,yes,2.744994,3,Sometimes,no,2.478838,no,0.684487,0.677909,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.908879,1.876898,121.277832,yes,yes,2.630137,2.806298,Sometimes,no,1.970508,no,1.304291,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.201622,1.77558,120.589419,yes,yes,2.113843,3,Sometimes,no,2.316069,no,1.804157,0.357314,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.689773,1.76569,120.082941,yes,yes,2.821727,3,Sometimes,no,2.173279,no,1.096556,0.232858,Sometimes,Automobile,Obesity_Type_II
+Male,30.242597,1.759772,118.382361,yes,yes,2.312528,3,Sometimes,no,2.208068,no,1.07672,1.035711,Sometimes,Automobile,Obesity_Type_II
+Male,31.346845,1.823545,126.460936,yes,yes,2.938801,3,Sometimes,yes,1.478994,no,0.946763,1.360463,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.577343,1.868923,125.064264,yes,yes,2.050619,3,Sometimes,yes,1.515183,no,0.849811,0.261901,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.124595,1.77151,113.207124,yes,yes,1.457758,3,Sometimes,no,2.020249,no,1.556709,0.00133,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.509034,1.77219,114.097656,yes,yes,2.19331,3,Sometimes,no,2.089983,no,1.360994,0.857438,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.478662,1.858265,117.57457,yes,yes,2.028571,3,Sometimes,no,2.530428,no,1.31257,0.066805,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.100513,1.830596,118.424156,yes,yes,1.455602,3,Sometimes,no,2.363307,no,1.144683,0.101026,Sometimes,Public_Transportation,Obesity_Type_II
+Male,38.523646,1.765836,118.533246,yes,yes,2.177896,2.987652,Sometimes,no,1.745095,no,0.656548,0,Sometimes,Automobile,Obesity_Type_II
+Male,38.71216,1.770278,117.29188,yes,yes,2.252382,2.842848,Sometimes,no,1.879381,no,0.919388,0,Sometimes,Automobile,Obesity_Type_II
+Male,25.717522,1.673491,103.706181,yes,yes,2.668949,1.134321,Sometimes,no,1.279443,no,0.11243,1.135503,no,Public_Transportation,Obesity_Type_II
+Male,32.259623,1.703346,102.686239,yes,yes,2.723953,1.924168,Sometimes,no,1,no,1.622055,0.069367,no,Public_Transportation,Obesity_Type_II
+Male,23.47007,1.842906,121.142535,yes,yes,3,2.701689,Sometimes,no,2.738485,no,0.992253,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.408805,1.779547,118.740035,yes,yes,2.736298,2.992903,Sometimes,no,2.045561,no,0.854957,0.428452,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.443011,1.873368,121.82962,yes,yes,2.722161,2.658837,Sometimes,no,2.375707,no,1.299469,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.906342,1.755902,120.021161,yes,yes,2.971574,2.80742,Sometimes,no,1.962646,no,1.583832,0.504816,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.007488,1.617655,100.941357,yes,yes,2.871016,1.834472,Sometimes,no,1.016585,no,0.236168,0.974939,no,Public_Transportation,Obesity_Type_II
+Male,30.686701,1.644517,100.004418,yes,yes,2.96405,2.123138,Sometimes,no,1,no,1.699181,0.620465,no,Public_Transportation,Obesity_Type_II
+Male,20.184451,1.701284,104.578255,yes,yes,2.653721,1.265463,Sometimes,no,1.368457,no,0.218356,0.768071,no,Public_Transportation,Obesity_Type_II
+Male,25.447208,1.65891,104.548794,yes,yes,2.859097,1.340361,Sometimes,no,1.530508,no,0.174475,1.261705,no,Public_Transportation,Obesity_Type_II
+Male,30.002029,1.759324,112.000381,yes,yes,1.572036,3,Sometimes,no,2.003563,no,0,0.340196,Sometimes,Automobile,Obesity_Type_II
+Male,30.188303,1.758382,112.10074,yes,yes,1.387489,3,Sometimes,no,2.017712,no,0,0.731257,Sometimes,Automobile,Obesity_Type_II
+Male,24.244029,1.622297,99.982541,yes,yes,2.941929,3.989492,Sometimes,no,1.014135,no,1.958694,0.687342,no,Public_Transportation,Obesity_Type_II
+Male,24.521879,1.623278,97.582959,yes,yes,2.973569,2.650088,Sometimes,no,1.003063,no,1.981154,0.157007,no,Public_Transportation,Obesity_Type_II
+Male,29.721964,1.918859,129.991623,yes,yes,2.041376,3,Sometimes,no,1.120213,no,1.05545,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.906575,1.913252,129.232216,yes,yes,2.02472,3,Sometimes,no,1.800335,no,1.196368,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,37.084742,1.75,118.07381,yes,yes,2.133964,3,Sometimes,no,2.008361,no,0.202029,0.200516,Sometimes,Automobile,Obesity_Type_II
+Male,39.08886,1.75,119.029103,yes,yes,2.702457,3,Sometimes,no,2.005194,no,0.325313,0.419055,Sometimes,Automobile,Obesity_Type_II
+Male,22.658572,1.784994,113.714521,yes,yes,1.760038,3,Sometimes,no,2.003531,no,1.089061,0.072264,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.889099,1.792533,116.157766,yes,yes,1.996646,3,Sometimes,no,2,no,1.600536,0.739684,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.63474,1.829757,120.980508,yes,yes,2.644094,3,Sometimes,no,2.740525,no,2,0.500936,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.920362,1.796415,120.988454,yes,yes,2.475892,3,Sometimes,no,2.949356,no,1.866839,0.100048,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.783845,1.75,120,yes,yes,2.941627,3,Sometimes,no,2.318134,no,0.582686,1.588046,Sometimes,Automobile,Obesity_Type_II
+Male,31.627962,1.762389,118.548733,yes,yes,2.998441,3,Sometimes,no,2.462916,no,0.554646,1.99219,Sometimes,Automobile,Obesity_Type_II
+Male,22.976188,1.825718,121.236915,yes,yes,2.397284,2.89292,Sometimes,no,1.983973,no,1.859667,0.0026,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.977357,1.839699,120.431551,yes,yes,2.382705,2.938902,Sometimes,no,1.999278,no,1.686229,0.630866,Sometimes,Public_Transportation,Obesity_Type_II
+Male,40.973007,1.749405,109.908779,yes,yes,2.176317,2.986637,Sometimes,no,1.015672,no,0.94141,0,no,Automobile,Obesity_Type_II
+Male,41,1.75,115.806977,yes,yes,2,2.701521,Sometimes,no,1.142644,no,0.514225,0,no,Automobile,Obesity_Type_II
+Male,21.721507,1.849998,122.119682,yes,yes,3,2.014671,Sometimes,no,1.292786,no,0.145687,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,21.544554,1.84998,122.609911,yes,yes,3,1.971659,Sometimes,no,1.179254,no,0.178856,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.000307,1.607939,100.618239,yes,yes,2.877743,1.311797,Sometimes,no,1.000463,no,0.182249,1.4312,no,Public_Transportation,Obesity_Type_II
+Male,24.0409,1.603226,99.605527,yes,yes,3,1.262831,Sometimes,no,1,no,0.883171,1.382995,no,Public_Transportation,Obesity_Type_II
+Male,29.509151,1.770663,112.471118,yes,yes,2.303041,3,Sometimes,no,2.065817,no,0,0.725222,Sometimes,Automobile,Obesity_Type_II
+Male,29.246269,1.758038,112.395309,yes,yes,2.323003,3,Sometimes,no,2.155558,no,0,1.251554,Sometimes,Automobile,Obesity_Type_II
+Male,25.341399,1.786997,115.025361,yes,yes,1.99953,3,Sometimes,no,2.111908,no,1.453042,0.849503,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.314163,1.771837,114.906095,yes,yes,1.585183,3,Sometimes,no,2.101841,no,1.543961,0.000073,Sometimes,Public_Transportation,Obesity_Type_II
+Male,40.366238,1.722396,109.349025,yes,yes,2.281963,3.770379,Sometimes,no,1,no,1.330519,0,no,Automobile,Obesity_Type_II
+Male,33.749594,1.701387,107.025415,yes,yes,2.561638,2.87747,Sometimes,no,1,no,1.980401,0,no,Automobile,Obesity_Type_II
+Male,32.867331,1.697421,103.017623,yes,yes,2.600217,2.175153,Sometimes,no,1,no,1.985536,0,no,Public_Transportation,Obesity_Type_II
+Male,30.403205,1.696365,102.815983,yes,yes,2.79166,2.13229,Sometimes,no,1.254589,no,0.652736,1.040713,no,Public_Transportation,Obesity_Type_II
+Male,29.687488,1.909198,129.679131,yes,yes,2.08868,3,Sometimes,no,1.520215,no,1.857351,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,28.992809,1.909105,129.874864,yes,yes,2.206119,3,Sometimes,no,1.483856,no,1.113169,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.475248,1.801368,121.094257,yes,yes,2.328469,3,Sometimes,no,2.001208,no,0.800487,0.176678,Sometimes,Automobile,Obesity_Type_II
+Male,30.350516,1.860292,123.721352,yes,yes,2.002784,3,Sometimes,no,2.292906,no,1.034031,0,Sometimes,Automobile,Obesity_Type_II
+Male,26.684354,1.819535,118.332689,yes,yes,1.975675,3,Sometimes,no,2.357969,no,0.704236,0.010721,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.607478,1.793174,118.165082,yes,yes,2.002076,3,Sometimes,no,2.338373,no,0.897562,0.081156,Sometimes,Public_Transportation,Obesity_Type_II
+Male,33.174147,1.75015,118.299585,yes,yes,2.218599,3,Sometimes,no,2.104337,no,0.766007,0.262118,Sometimes,Automobile,Obesity_Type_II
+Male,32.29016,1.754956,120.098812,yes,yes,2.9673,3,Sometimes,no,2.530035,no,0.955317,1.339232,Sometimes,Automobile,Obesity_Type_II
+Male,26.050109,1.773115,115.089316,yes,yes,2.392179,3,Sometimes,no,2.16467,no,1.079934,1.073026,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.846279,1.772731,115.828167,yes,yes,2.381164,3,Sometimes,no,2.170225,no,1.211048,1.89933,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.620095,1.787933,112.536367,yes,yes,2.008245,3,Sometimes,no,2.040137,no,0,0.474216,Sometimes,Automobile,Obesity_Type_II
+Male,27.439056,1.785277,112.740797,yes,yes,2.155182,3,Sometimes,no,2.049079,no,0,1.74992,Sometimes,Automobile,Obesity_Type_II
+Male,28.493397,1.817572,120.8158,yes,yes,2.969233,3,Sometimes,no,2.807984,no,0.982134,1.191998,Sometimes,Public_Transportation,Obesity_Type_II
+Male,27.474245,1.84342,120.420406,yes,yes,2.765063,3,Sometimes,no,2.867206,no,0.706777,0.677909,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.036269,1.874519,121.244969,yes,yes,2.630137,3,Sometimes,no,2.960088,no,1.356468,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.825398,1.796332,120.901591,yes,yes,2.195964,3,Sometimes,no,2.514872,no,1.664722,0.127673,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.493946,1.756221,119.117122,yes,yes,2.619987,3,Sometimes,no,2.194746,no,1.076926,1.090995,Sometimes,Automobile,Obesity_Type_II
+Male,30.607546,1.757132,118.565568,yes,yes,2.918113,3,Sometimes,no,2.240463,no,1.076248,1.480875,Sometimes,Automobile,Obesity_Type_II
+Male,31.194323,1.889104,129.157346,yes,yes,2.889485,3,Sometimes,yes,1.279771,no,0.941424,0.008343,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.36347,1.869323,127.507411,yes,yes,2.939727,3,Sometimes,yes,1.344122,no,0.923428,1.432336,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.027254,1.757154,112.200812,yes,yes,1.264234,3,Sometimes,no,2,no,1.333435,0.002168,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.058566,1.764484,113.234349,yes,yes,1.517912,3,Sometimes,no,2.038958,no,1.590255,0.00164,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.417552,1.774775,117.398976,yes,yes,2.23372,2.993634,Sometimes,no,2.028368,no,0.863158,0.449886,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.5822,1.769933,117.708705,yes,yes,1.475906,2.999346,Sometimes,no,2.01943,no,1.046878,0.460866,Sometimes,Public_Transportation,Obesity_Type_II
+Male,40.106145,1.760175,117.651046,yes,yes,2.032883,2.976211,Sometimes,no,1.726109,no,0.477855,0,Sometimes,Automobile,Obesity_Type_II
+Male,40.174191,1.763029,116.974504,yes,yes,2.046651,2.842035,Sometimes,no,1.732072,no,0.584272,0,Sometimes,Automobile,Obesity_Type_II
+Male,27.186873,1.679515,102.872802,yes,yes,2.667229,1.09749,Sometimes,no,1.225958,no,0.206954,1.003011,no,Public_Transportation,Obesity_Type_II
+Male,30.424369,1.699354,100.176866,yes,yes,2.819934,1.91863,Sometimes,no,1,no,1.39302,0.553311,no,Public_Transportation,Obesity_Type_II
+Male,23.141402,1.849307,121.658729,yes,yes,3,2.510135,Sometimes,no,1.693362,no,0.769709,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.178638,1.86741,121.684311,yes,yes,2.954417,2.65772,Sometimes,no,2.104696,no,0.870056,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.832105,1.86714,121.835883,yes,yes,2.826251,2.604998,Sometimes,no,1.842173,no,1.284798,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.083621,1.848553,121.421121,yes,yes,3,2.567567,Sometimes,no,2.011023,no,0.916478,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.079971,1.61981,98.54302,yes,yes,2.95841,2.434347,Sometimes,no,1,no,1.930033,0.754023,no,Public_Transportation,Obesity_Type_II
+Male,26.947786,1.647807,99.592225,yes,yes,2.935157,1.845858,Sometimes,no,1,no,1.089891,0.715993,no,Public_Transportation,Obesity_Type_II
+Male,20.101026,1.619128,104.303711,yes,yes,2.870895,1.627555,Sometimes,no,1.375728,no,0.210181,1.163117,no,Public_Transportation,Obesity_Type_II
+Male,22.789402,1.64187,104.270062,yes,yes,2.869833,1.569176,Sometimes,no,1.533682,no,0.167943,1.368262,no,Public_Transportation,Obesity_Type_II
+Male,28.404332,1.787379,112.173731,yes,yes,1.878251,3,Sometimes,no,2.022933,no,0,0.325445,Sometimes,Automobile,Obesity_Type_II
+Male,30.003358,1.758355,112.007101,yes,yes,1.750809,3,Sometimes,no,2.002871,no,0,0.114457,Sometimes,Automobile,Obesity_Type_II
+Male,25.136116,1.76414,113.089716,yes,yes,1.168856,3,Sometimes,no,2.013205,no,1.246223,0.00159,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.139466,1.767186,112.226032,yes,yes,1.443674,3,Sometimes,no,2.002194,no,1.386151,0.001337,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.743821,1.67782,102.022057,yes,yes,2.826036,2.371658,Sometimes,no,1,no,1.996487,0,no,Public_Transportation,Obesity_Type_II
+Male,30.796262,1.668478,100.543983,yes,yes,2.9553,2.378211,Sometimes,no,1,no,1.738267,0.394533,no,Public_Transportation,Obesity_Type_II
+Male,28.393111,1.685462,99.540122,yes,yes,2.774562,2.301129,Sometimes,no,1,no,1.621733,0.138314,no,Public_Transportation,Obesity_Type_II
+Male,27.93982,1.694642,99.709329,yes,yes,2.772027,2.454432,Sometimes,no,1,no,0.858554,0.051268,no,Public_Transportation,Obesity_Type_II
+Male,31.034092,1.886109,129.349471,yes,yes,2.499626,3,Sometimes,yes,1.125338,no,0.94522,1.022505,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.684347,1.915,129.966428,yes,yes,2.108638,3,Sometimes,yes,1.014876,no,0.987521,0.047473,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.108216,1.841908,124.070717,yes,yes,2.467548,3,Sometimes,no,2.66029,no,0.994422,0.310394,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.347497,1.868127,123.172214,yes,yes,2.585942,3,Sometimes,no,2.302506,no,0.597863,0.111925,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.761799,1.751688,119.205308,yes,yes,2.14961,3,Sometimes,no,2.133876,no,0.393452,0.345887,Sometimes,Automobile,Obesity_Type_II
+Male,30.976932,1.755333,118.237782,yes,yes,2.938616,3,Sometimes,no,2.06039,no,0.371508,1.333559,Sometimes,Automobile,Obesity_Type_II
+Male,37.588628,1.754217,117.8972,yes,yes,2.535154,2.915921,Sometimes,no,1.8924,no,0.693732,0.06741,Sometimes,Automobile,Obesity_Type_II
+Male,37.997912,1.76071,118.668332,yes,yes,2.611222,2.992083,Sometimes,no,1.796376,no,0.641954,0.20281,Sometimes,Automobile,Obesity_Type_II
+Male,21.6548,1.755938,116.311962,yes,yes,1.800122,3,Sometimes,no,2,no,1.689525,0.764452,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.829753,1.765137,116.669906,yes,yes,1.482722,3,Sometimes,no,2,no,1.112504,0.690353,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.015173,1.788239,115.382519,yes,yes,1.735664,3,Sometimes,no,2.041536,no,1.392406,0.39174,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.812795,1.767121,116.164351,yes,yes,1.655684,3,Sometimes,no,2,no,0.976425,0.690082,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.975685,1.840039,120.975489,yes,yes,2.598207,2.849347,Sometimes,no,2.006167,no,1.52001,0.295685,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.149036,1.824901,120.805715,yes,yes,2.225149,3,Sometimes,no,2.357978,no,1.943743,0.682128,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.062942,1.828391,120.998266,yes,yes,3,3,Sometimes,no,3,no,1.685369,0.264969,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.140074,1.829529,120.996581,yes,yes,3,3,Sometimes,no,3,no,1.467863,0.343635,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.722801,1.779325,120.751656,yes,yes,2.519592,3,Sometimes,no,2.229145,no,0.350717,1.140348,Sometimes,Automobile,Obesity_Type_II
+Male,30.916426,1.781139,120.794535,yes,yes,2.111887,3,Sometimes,no,2.357373,no,0.425621,1.416353,Sometimes,Automobile,Obesity_Type_II
+Male,31.010302,1.764166,119.373019,yes,yes,2.970983,3,Sometimes,no,2.828861,no,0.454944,1.915818,Sometimes,Automobile,Obesity_Type_II
+Male,30.605464,1.754796,118.805937,yes,yes,2.907542,3,Sometimes,no,2.284494,no,0.647632,1.668318,Sometimes,Automobile,Obesity_Type_II
+Male,24.622054,1.756509,117.368716,yes,yes,1.451337,3,Sometimes,no,2,no,1.384607,0.631217,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.745833,1.756772,117.326523,yes,yes,1.537505,3,Sometimes,no,2,no,1.631912,0.631422,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.327836,1.754439,119.441207,yes,yes,1.893428,3,Sometimes,no,2,no,1.917383,0.93648,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.411141,1.755142,119.192922,yes,yes,2.007845,2.954446,Sometimes,no,1.968796,no,1.587406,0.838947,Sometimes,Public_Transportation,Obesity_Type_II
+Male,39.825592,1.706741,108.012603,yes,yes,2.487781,3.755976,Sometimes,no,1,no,1.860765,0,no,Automobile,Obesity_Type_II
+Male,36.839761,1.74285,106.421042,yes,yes,2.541785,2.902639,Sometimes,no,1,no,1.668961,0,no,Automobile,Obesity_Type_II
+Male,33.789301,1.6811,102.523111,yes,yes,2.813775,2.372705,Sometimes,no,1,no,1.979355,0,no,Public_Transportation,Obesity_Type_II
+Male,34.161998,1.705682,103.067766,yes,yes,2.562687,2.100918,Sometimes,no,1.458545,no,1.167856,0.412329,no,Public_Transportation,Obesity_Type_II
+Male,22.580038,1.849507,121.560938,yes,yes,3,2.272801,Sometimes,no,1.560064,no,0.79677,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.851721,1.853373,121.737836,yes,yes,2.922511,2.692889,Sometimes,no,1.809531,no,0.478595,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.254934,1.84753,122.06261,yes,yes,3,2.280545,Sometimes,no,1.591597,no,0.932783,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.343204,1.87034,121.458232,yes,yes,2.836055,2.675411,Sometimes,no,1.711666,no,0.93732,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.006271,1.607787,100.783434,yes,yes,2.880759,1.487674,Sometimes,no,1.01378,no,1.00109,1.09838,no,Public_Transportation,Obesity_Type_II
+Male,24.001196,1.603091,100.209405,yes,yes,3,1.02075,Sometimes,no,1,no,0.233056,1.707421,no,Public_Transportation,Obesity_Type_II
+Male,20.156664,1.620109,103.393354,yes,yes,2.766441,1.240424,Sometimes,no,1.413218,no,0.165269,0.862587,no,Public_Transportation,Obesity_Type_II
+Male,23.360307,1.610647,100.642257,yes,yes,2.997524,1.154318,Sometimes,no,1.238057,no,1.1293,1.665621,no,Public_Transportation,Obesity_Type_II
+Male,28.986237,1.758618,113.501549,yes,yes,2.320201,3,Sometimes,no,2.164784,no,0,1.465479,Sometimes,Automobile,Obesity_Type_II
+Male,29.713169,1.763259,113.215814,yes,yes,2.181057,3,Sometimes,no,2.08554,no,0,1.439004,Sometimes,Automobile,Obesity_Type_II
+Male,27.394123,1.764138,112.323213,yes,yes,1.924632,3,Sometimes,no,2.006595,no,0.1768,0.511694,Sometimes,Automobile,Obesity_Type_II
+Male,24.912254,1.75596,112.277567,yes,yes,1.397468,3,Sometimes,no,2.01897,no,0.665439,0.062167,Sometimes,Automobile,Obesity_Type_II
+Male,25.526746,1.783381,115.347176,yes,yes,2.191429,3,Sometimes,no,2.102709,no,1.32534,0.380979,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.523127,1.786532,114.534678,yes,yes,2.100177,3,Sometimes,no,2.099687,no,1.281165,0.247332,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.822348,1.766626,114.187096,yes,yes,2.075321,3,Sometimes,no,2.144838,no,1.501754,0.276319,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.879411,1.765464,114.144378,yes,yes,1.626369,3,Sometimes,no,2.109697,no,1.352973,0.076693,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.361365,1.75853,111.635463,yes,yes,1.263216,3.219347,Sometimes,no,1.981782,no,0.482625,0,Sometimes,Automobile,Obesity_Type_II
+Male,30.451174,1.758539,111.950413,yes,yes,1.067909,3.656401,Sometimes,no,1.98459,no,0.054238,0,Sometimes,Automobile,Obesity_Type_II
+Male,40.564513,1.748015,109.758736,yes,yes,2.310751,3.220181,Sometimes,no,1.006643,no,1.15804,0,no,Automobile,Obesity_Type_II
+Male,40.501722,1.744974,111.169678,yes,yes,2.294259,2.850948,Sometimes,no,1.87029,no,0.917014,0,no,Automobile,Obesity_Type_II
+Male,30.315784,1.701566,103.743534,yes,yes,2.57649,2.187145,Sometimes,no,1.38107,no,1.928275,0.413663,no,Public_Transportation,Obesity_Type_II
+Male,33.293166,1.696412,103.250355,yes,yes,2.679664,2.415522,Sometimes,no,1,no,1.987296,0,no,Public_Transportation,Obesity_Type_II
+Male,30.638944,1.680489,102.004554,yes,yes,2.938687,2.138375,Sometimes,no,1.251715,no,1.181811,0.778375,no,Public_Transportation,Obesity_Type_II
+Male,29.791101,1.703317,102.592171,yes,yes,2.654792,1.077331,Sometimes,no,1.345407,no,0.327418,0.386861,no,Public_Transportation,Obesity_Type_II
+Male,31.205668,1.877732,127.161381,yes,yes,2.731368,3,Sometimes,yes,1.486824,no,1.485978,1.150439,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.899219,1.909639,129.013178,yes,yes,2.22259,3,Sometimes,yes,1.591909,no,1.392026,0.917727,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.669219,1.909188,129.19449,yes,yes,2.432355,3,Sometimes,no,1.336526,no,1.63812,0.090341,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.595632,1.910672,129.232708,yes,yes,2.497548,3,Sometimes,no,1.362583,no,1.144076,0.173232,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.554956,1.779136,120.60094,yes,yes,2.671238,3,Sometimes,no,2.145368,no,0.882709,0.593917,Sometimes,Automobile,Obesity_Type_II
+Male,31.571392,1.767485,120.158049,yes,yes,2.57691,3,Sometimes,no,2.080187,no,1.04268,0.376683,Sometimes,Automobile,Obesity_Type_II
+Male,30.577944,1.783953,120.613561,yes,yes,2.341999,3,Sometimes,no,2.299878,no,0.565242,0.921991,Sometimes,Automobile,Obesity_Type_II
+Male,30.717727,1.76714,120.344402,yes,yes,2.117121,3,Sometimes,no,2.193008,no,0.992829,1.556052,Sometimes,Automobile,Obesity_Type_II
+Male,26.734476,1.816197,119.622764,yes,yes,2.247037,3,Sometimes,no,2.718408,no,0.763595,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.699317,1.839941,119.956651,yes,yes,2.244654,3,Sometimes,no,2.795752,no,0.839481,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.659092,1.84842,117.631707,yes,yes,2.128574,3,Sometimes,no,2.531984,no,1.003294,0.026575,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.348156,1.830317,117.75701,yes,yes,2.068834,3,Sometimes,no,2.543841,no,1.217993,0.038253,Sometimes,Public_Transportation,Obesity_Type_II
+Male,37.638102,1.750085,118.114184,yes,yes,2.073224,3,Sometimes,no,2.024035,no,0.131371,0,Sometimes,Automobile,Obesity_Type_II
+Male,37.765356,1.763582,117.86159,yes,yes,2.145114,2.888193,Sometimes,no,2.038128,no,0.852344,0,Sometimes,Automobile,Obesity_Type_II
+Male,28.255199,1.816547,120.699119,yes,yes,2.997951,3,Sometimes,no,2.715856,no,0.739881,0.972054,Sometimes,Automobile,Obesity_Type_II
+Male,27.931432,1.805445,119.484614,yes,yes,2.911312,3,Sometimes,no,2.501808,no,0.94676,0.785701,Sometimes,Automobile,Obesity_Type_II
+Male,25.492855,1.770124,114.163921,yes,yes,2.159033,3,Sometimes,no,2.116399,no,1.331526,0.052942,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.550506,1.77274,114.254278,yes,yes,2.175276,3,Sometimes,no,2.128176,no,1.306476,0.079334,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.542454,1.763215,115.10813,yes,yes,2.21965,3,Sometimes,no,2.165408,no,1.315045,0.688985,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.758307,1.766547,115.45845,yes,yes,2.203962,3,Sometimes,no,2.15687,no,1.289421,1.220767,Sometimes,Public_Transportation,Obesity_Type_II
+Male,29.981494,1.773181,112.348722,yes,yes,1.947495,3,Sometimes,no,2.042073,no,0,0.618087,Sometimes,Automobile,Obesity_Type_II
+Male,29.891473,1.76003,112.409191,yes,yes,2.262292,3,Sometimes,no,2.115354,no,0,0.847587,Sometimes,Automobile,Obesity_Type_II
+Male,26.778684,1.780089,113.15464,yes,yes,2.219186,3,Sometimes,no,2.092326,no,0.545919,1.74288,Sometimes,Automobile,Obesity_Type_II
+Male,28.377958,1.766946,113.235538,yes,yes,2.314175,3,Sometimes,no,2.151809,no,0,1.578517,Sometimes,Automobile,Obesity_Type_II
+Male,26.199321,1.885119,121.065052,yes,yes,2.423291,3,Sometimes,no,2.902682,no,1.243567,0.555591,Sometimes,Public_Transportation,Obesity_Type_II
+Male,27.266287,1.828276,120.872294,yes,yes,2.637202,3,Sometimes,no,2.966647,no,1.159598,0.758897,Sometimes,Public_Transportation,Obesity_Type_II
+Male,27.635029,1.806227,120.423567,yes,yes,2.974006,3,Sometimes,no,2.565828,no,0.690269,1.339691,Sometimes,Public_Transportation,Obesity_Type_II
+Male,26.899886,1.812919,119.841446,yes,yes,2.347942,3,Sometimes,no,2.730663,no,0.689371,0.188693,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.758998,1.859717,121.284533,yes,yes,2.654076,2.574108,Sometimes,no,1.78471,no,1.170537,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.771001,1.86516,121.527369,yes,yes,2.739,2.740492,Sometimes,no,1.824561,no,1.094839,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.826684,1.783609,120.921535,yes,yes,2.591292,2.956422,Sometimes,no,2.31083,no,1.48524,0.281815,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.186273,1.794827,120.919703,yes,yes,2.611847,2.749334,Sometimes,no,2.364849,no,1.141708,0.063005,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.945369,1.759647,120.009392,yes,yes,2.766612,3,Sometimes,no,2.173417,no,1.089344,1.198439,Sometimes,Automobile,Obesity_Type_II
+Male,31.490699,1.773521,120.209711,yes,yes,2.777165,3,Sometimes,no,2.106861,no,0.925941,0.2916,Sometimes,Automobile,Obesity_Type_II
+Male,31.56724,1.753327,118.26569,yes,yes,2.232836,3,Sometimes,no,2.146398,no,0.886817,0.47787,Sometimes,Automobile,Obesity_Type_II
+Male,30.444081,1.761068,118.370628,yes,yes,2.571274,3,Sometimes,no,2.224164,no,1.018158,1.152899,Sometimes,Automobile,Obesity_Type_II
+Male,31.199261,1.848845,125.077863,yes,yes,2.49619,3,Sometimes,yes,1.662117,no,0.992371,0.217632,Sometimes,Public_Transportation,Obesity_Type_II
+Male,31.190219,1.842812,125.973927,yes,yes,2.151335,3,Sometimes,yes,1.491169,no,0.883542,0.527766,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.575349,1.825449,124.95278,yes,yes,2.01695,3,Sometimes,no,1.83412,no,0.797209,0.185499,Sometimes,Public_Transportation,Obesity_Type_II
+Male,30.702559,1.86198,126.418413,yes,yes,2.927187,3,Sometimes,no,1.508796,no,0.902776,1.015467,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.057878,1.763987,113.069667,yes,yes,1.412566,3,Sometimes,no,2.002495,no,1.592795,0.001867,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.151286,1.761519,112.835195,yes,yes,1.289315,3,Sometimes,no,2.007348,no,1.376217,0.001518,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.137087,1.772045,114.067936,yes,yes,1.624366,3,Sometimes,no,2.081719,no,1.538922,0.356868,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.3292,1.771817,114.004832,yes,yes,1.528331,3,Sometimes,no,2.079353,no,1.522429,0.228598,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.66668,1.79858,117.93329,yes,yes,2.037042,3,Sometimes,no,2.43699,no,1.016254,0.020044,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.01277,1.788586,117.849351,yes,yes,2.191108,2.993856,Sometimes,no,2.444917,no,1.055854,0.145284,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.047945,1.803207,118.332966,yes,yes,1.431346,3,Sometimes,no,2.098959,no,1.110868,0.196952,Sometimes,Public_Transportation,Obesity_Type_II
+Male,25.426457,1.836592,118.377601,yes,yes,1.84199,3,Sometimes,no,2.503244,no,1.226019,0.078207,Sometimes,Public_Transportation,Obesity_Type_II
+Male,37.207082,1.762921,118.40174,yes,yes,2.13683,2.993084,Sometimes,no,1.885926,no,0.615298,0,Sometimes,Automobile,Obesity_Type_II
+Male,38.10894,1.752863,119.201465,yes,yes,2.499388,2.989791,Sometimes,no,1.959777,no,0.6081,0.64676,Sometimes,Automobile,Obesity_Type_II
+Male,38.644441,1.768235,117.792268,yes,yes,2.230742,2.920373,Sometimes,no,1.831187,no,0.756277,0,Sometimes,Automobile,Obesity_Type_II
+Male,38.112989,1.766888,118.134898,yes,yes,2.240757,2.911568,Sometimes,no,1.895876,no,0.822186,0,Sometimes,Automobile,Obesity_Type_II
+Male,24.825393,1.603501,101.038263,yes,yes,2.996186,1.134042,Sometimes,no,1.270166,no,0.073065,1.551934,no,Public_Transportation,Obesity_Type_II
+Male,26.624342,1.690262,103.180918,yes,yes,2.649406,1.120102,Sometimes,no,1.153286,no,0.216908,0.619012,no,Public_Transportation,Obesity_Type_II
+Male,33.722449,1.712905,103.276087,yes,yes,2.525884,2.040582,Sometimes,no,1,no,1.67036,0.023959,no,Public_Transportation,Obesity_Type_II
+Male,32.516469,1.695735,102.784864,yes,yes,2.736647,2.015675,Sometimes,no,1,no,1.977918,0.056351,no,Public_Transportation,Obesity_Type_II
+Male,23.881938,1.829971,121.04172,yes,yes,2.684335,2.711238,Sometimes,no,2.732331,no,1.156024,0.442456,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.319635,1.84629,121.248035,yes,yes,3,2.695396,Sometimes,no,2.628816,no,0.975384,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.912387,1.774983,119.081804,yes,yes,2.425503,2.996834,Sometimes,no,2.017602,no,1.580263,0.531769,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.982997,1.78968,118.436166,yes,yes,1.469384,2.996444,Sometimes,no,2.067741,no,1.082236,0.150544,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.511445,1.852664,121.310257,yes,yes,2.906269,2.894142,Sometimes,no,2.435489,no,1.266739,0.36216,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.05331,1.872561,121.471077,yes,yes,2.808027,2.683061,Sometimes,no,2.640483,no,1.280191,0,Sometimes,Public_Transportation,Obesity_Type_II
+Male,22.906886,1.81955,120.775439,yes,yes,2.636719,2.806341,Sometimes,no,1.967591,no,1.525384,0.315595,Sometimes,Public_Transportation,Obesity_Type_II
+Male,23.147644,1.815514,120.337664,yes,yes,2.996717,2.791366,Sometimes,no,2.626309,no,1.194898,0.034897,Sometimes,Public_Transportation,Obesity_Type_II
+Male,24.001889,1.614075,100.245302,yes,yes,2.880483,1.703299,Sometimes,no,1.006378,no,1.076729,1.058007,no,Public_Transportation,Obesity_Type_II
+Male,24.002404,1.609418,100.078367,yes,yes,2.885693,1.685134,Sometimes,no,1.011849,no,0.503105,1.217929,no,Public_Transportation,Obesity_Type_II
+Male,30.71516,1.650189,101.141277,yes,yes,2.913452,2.269799,Sometimes,no,1,no,1.889937,0.378818,no,Public_Transportation,Obesity_Type_II
+Male,30.64243,1.653876,102.583895,yes,yes,2.919526,2.142328,Sometimes,no,1.175714,no,0.958555,0.636289,no,Public_Transportation,Obesity_Type_II
+Male,20.068432,1.657132,105.580491,yes,yes,2.724121,1.437959,Sometimes,no,1.590418,no,0.029603,1.122118,no,Public_Transportation,Obesity_Type_II
+Male,20.914366,1.644751,101.067988,yes,yes,2.801992,1.343117,Sometimes,no,1.128942,no,0.233987,0.81998,no,Public_Transportation,Obesity_Type_II
+Male,25.512048,1.660761,104.321463,yes,yes,2.748971,1.213431,Sometimes,no,1.448875,no,0.128548,1.239038,no,Public_Transportation,Obesity_Type_II
+Male,26.844812,1.69151,102.59518,yes,yes,2.680375,1.089048,Sometimes,no,1.366238,no,0.181324,1.041677,no,Public_Transportation,Obesity_Type_II
+Female,25.919241,1.611462,102.093223,yes,yes,3,3,Sometimes,no,1.023328,no,0.05093,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.584782,105.055597,yes,yes,3,3,Sometimes,no,1.197667,no,0,0.534769,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.233541,1.792378,137.859737,yes,yes,3,3,Sometimes,no,2.838893,no,1.990317,0.735868,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.147705,1.802257,149.935848,yes,yes,3,3,Sometimes,no,2.181811,no,1.995582,0.939665,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.65632,111.93301,yes,yes,3,3,Sometimes,no,2.774014,no,0,0.138418,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.600762,105.448264,yes,yes,3,3,Sometimes,no,1.031354,no,0,0.37465,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.902283,1.678658,104.954834,yes,yes,3,3,Sometimes,no,1.66616,no,0.210351,0.73421,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.540865,1.678201,109.900472,yes,yes,3,3,Sometimes,no,1.471664,no,0.143955,0.444532,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.39251,1.65563,121.205171,yes,yes,3,3,Sometimes,no,1.347559,no,0.462951,0.31794,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.305402,1.694952,133.76473,yes,yes,3,3,Sometimes,no,1.338241,no,1.92628,0.886135,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622771,109.959714,yes,yes,3,3,Sometimes,no,2.679137,no,0,0.479348,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.583889,110.545378,yes,yes,3,3,Sometimes,no,2.578292,no,0,0.492394,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.334585,1.729045,131.529267,yes,yes,3,3,Sometimes,no,1.302193,no,1.742453,0.94232,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.978655,1.664622,114.465425,yes,yes,3,3,Sometimes,no,2.408442,no,0.194056,0.803141,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.01245,1.747773,127.902844,yes,yes,3,3,Sometimes,no,1.705218,no,0.390937,0.998646,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.056059,1.730113,152.094362,yes,yes,3,3,Sometimes,no,2.374958,no,0.750111,0.671458,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.771001,1.746652,133.800129,yes,yes,3,3,Sometimes,no,2.869234,no,1.465931,0.627886,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.265943,1.719365,114.511537,yes,yes,3,3,Sometimes,no,2.987406,no,0.38926,0.526776,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.632377,111.946655,yes,yes,3,3,Sometimes,no,2.737091,no,0,0.037078,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.642572,111.868169,yes,yes,3,3,Sometimes,no,2.623489,no,0,0.138563,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.96701,1.654875,104.758713,yes,yes,3,3,Sometimes,no,2.612758,no,0.24629,0.802136,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.627567,107.482662,yes,yes,3,3,Sometimes,no,2.687378,no,0,0.410651,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.590046,1.736276,130.927138,yes,yes,3,3,Sometimes,no,1.852692,no,1.46361,0.962336,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.497373,1.737056,132.527011,yes,yes,3,3,Sometimes,no,2.86559,no,0.973864,0.58345,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.991886,1.580968,102.003378,yes,yes,3,3,Sometimes,no,1.003563,no,0.008127,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.908431,1.607128,103.026858,yes,yes,3,3,Sometimes,no,1.077253,no,0.162083,0.824607,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.177882,1.821566,142.102468,yes,yes,3,3,Sometimes,no,2.714949,no,1.999773,0.813784,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.112503,1.82773,152.720545,yes,yes,3,3,Sometimes,no,2.154949,no,1.999897,0.957463,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.656504,111.993054,yes,yes,3,3,Sometimes,no,2.893117,no,0,0.01931,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.637725,111.208963,yes,yes,3,3,Sometimes,no,2.70914,no,0,0.110518,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.902283,1.669701,104.585783,yes,yes,3,3,Sometimes,no,1.570188,no,0.210351,0.881848,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.540865,1.668709,104.754958,yes,yes,3,3,Sometimes,no,1.412049,no,0.143955,0.753077,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.520992,1.668642,124.704781,yes,yes,3,3,Sometimes,no,1.15635,no,0.786828,0.366385,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.871153,1.690614,129.769141,yes,yes,3,3,Sometimes,no,1.154698,no,1.71836,0.959218,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622418,110.676343,yes,yes,3,3,Sometimes,no,2.691584,no,0,0.425473,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643332,110.824698,yes,yes,3,3,Sometimes,no,2.709654,no,0,0.25115,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.768834,1.733383,135.524857,yes,yes,3,3,Sometimes,no,1.485736,no,1.950374,0.869238,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.891491,1.748313,133.573787,yes,yes,3,3,Sometimes,no,2.874336,no,1.624981,0.825609,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.941943,1.812963,138.730619,yes,yes,3,3,Sometimes,no,2.641489,no,0.481555,0.735201,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.989016,1.80734,155.872093,yes,yes,3,3,Sometimes,no,2.417122,no,0.952725,0.573958,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.367481,1.745644,133.665587,yes,yes,3,3,Sometimes,no,2.900857,no,1.508897,0.625371,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.051107,1.753266,133.852432,yes,yes,3,3,Sometimes,no,2.95311,no,1.445148,0.67321,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.632193,111.886611,yes,yes,3,3,Sometimes,no,2.617988,no,0,0.156187,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641098,111.818345,yes,yes,3,3,Sometimes,no,2.55057,no,0,0.20482,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.998646,1.640741,104.808542,yes,yes,3,3,Sometimes,no,2.653531,no,0.190061,0.692343,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.618573,104.928643,yes,yes,3,3,Sometimes,no,1.698767,no,0,0.54396,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.846357,1.757442,133.365094,yes,yes,3,3,Sometimes,no,2.84837,no,1.206059,0.766668,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.885655,1.763343,133.952675,yes,yes,3,3,Sometimes,no,2.835622,no,1.419473,0.816986,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.930376,1.610086,102.38745,yes,yes,3,3,Sometimes,no,1.050564,no,0.026033,0.539074,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.897815,1.664463,102.781971,yes,yes,3,3,Sometimes,no,1.068493,no,0.112122,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.602025,104.899348,yes,yes,3,3,Sometimes,no,2.613928,no,0,0.553093,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.968792,1.632896,104.988925,yes,yes,3,3,Sometimes,no,1.239833,no,0.162279,0.619235,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.335019,1.771043,137.044959,yes,yes,3,3,Sometimes,no,2.861533,no,1.70464,0.655571,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.700748,1.789555,137.767787,yes,yes,3,3,Sometimes,no,2.832659,no,1.505775,0.923005,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.222536,1.801746,141.166265,yes,yes,3,3,Sometimes,no,2.418488,no,1.99507,0.893514,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.3756,1.787195,151.975864,yes,yes,3,3,Sometimes,no,2.304716,no,0.82666,0.914492,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.644141,111.942544,yes,yes,3,3,Sometimes,no,2.763005,no,0,0.101867,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643355,111.600553,yes,yes,3,3,Sometimes,no,2.652616,no,0,0.250502,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.623707,105.037463,yes,yes,3,3,Sometimes,no,2.553198,no,0,0.393838,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.610636,105.423532,yes,yes,3,3,Sometimes,no,2.180566,no,0,0.519905,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.943827,1.629491,104.839068,yes,yes,3,3,Sometimes,no,2.20979,no,0.114698,0.604422,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.291974,1.684768,104.821175,yes,yes,3,3,Sometimes,no,1.444379,no,0.224482,0.912187,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.653233,1.66494,110.92217,yes,yes,3,3,Sometimes,no,1.604075,no,0.029728,0.200122,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.783865,1.655646,110.21734,yes,yes,3,3,Sometimes,no,1.528258,no,0.01586,0.436068,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.17614,1.666194,124.805868,yes,yes,3,3,Sometimes,no,1.228838,no,0.792553,0.639561,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.207423,1.707508,121.864326,yes,yes,3,3,Sometimes,no,1.615548,no,1.376534,0.926052,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.633056,1.754174,133.783955,yes,yes,3,3,Sometimes,no,1.94595,no,1.493018,0.906611,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.009596,1.714193,131.866734,yes,yes,3,3,Sometimes,no,1.709556,no,1.592494,0.925843,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.62439,110.008636,yes,yes,3,3,Sometimes,no,2.507461,no,0,0.368472,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.638836,110.970479,yes,yes,3,3,Sometimes,no,2.644135,no,0,0.357581,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.621245,111.267334,yes,yes,3,3,Sometimes,no,2.605685,no,0,0.199227,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.954511,1.623514,109.980145,yes,yes,3,3,Sometimes,no,2.217348,no,0.001015,0.481031,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.001969,1.736215,132.145549,yes,yes,3,3,Sometimes,no,1.657541,no,1.672639,0.629285,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.772251,1.732951,132.904884,yes,yes,3,3,Sometimes,no,1.817899,no,1.577824,0.930836,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.76197,1.69135,114.480696,yes,yes,3,3,Sometimes,no,2.509535,no,0.334264,0.668172,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.449655,1.635062,113.277388,yes,yes,3,3,Sometimes,no,2.578038,no,0.165422,0.463196,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.378203,1.746061,128.261402,yes,yes,3,3,Sometimes,no,2.501638,no,1.546179,0.66488,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.725718,1.746529,129.363771,yes,yes,3,3,Sometimes,no,2.250711,no,0.64235,0.685129,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.344018,1.746516,144.302261,yes,yes,3,3,Sometimes,no,2.36651,no,1.247505,0.723366,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.322097,1.751118,149.291106,yes,yes,3,3,Sometimes,no,2.309409,no,1.68291,0.70558,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.262934,1.741014,132.57927,yes,yes,3,3,Sometimes,no,2.436261,no,1.464674,0.87092,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.566815,1.748533,133.94608,yes,yes,3,3,Sometimes,no,2.833566,no,1.413239,0.862724,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.475242,1.694726,112.776612,yes,yes,3,3,Sometimes,no,2.724099,no,0.336795,0.153462,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.612462,1.674515,112.879662,yes,yes,3,3,Sometimes,no,2.989389,no,0.36009,0.169016,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.631332,111.829957,yes,yes,3,3,Sometimes,no,2.55975,no,0,0.237307,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641918,111.86899,yes,yes,3,3,Sometimes,no,2.635454,no,0,0.088309,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.640125,111.539494,yes,yes,3,3,Sometimes,no,2.625537,no,0,0.162494,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.649178,111.914361,yes,yes,3,3,Sometimes,no,2.884077,no,0,0.096576,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.96773,1.603404,105.031908,yes,yes,3,3,Sometimes,no,1.919473,no,0.027101,0.546137,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.989938,1.644199,105.036075,yes,yes,3,3,Sometimes,no,2.310076,no,0.07115,0.733085,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.628909,106.875927,yes,yes,3,3,Sometimes,no,2.686824,no,0,0.540812,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.617227,1.628019,108.265922,yes,yes,3,3,Sometimes,no,1.6213,no,0.090917,0.438216,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.030909,1.71818,133.466763,yes,yes,3,3,Sometimes,no,1.517215,no,1.486289,0.937492,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.951084,1.708581,131.274851,yes,yes,3,3,Sometimes,no,1.796956,no,1.684582,0.887388,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.980221,1.724983,132.94066,yes,yes,3,3,Sometimes,no,2.085553,no,1.271651,0.587932,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.426036,1.739991,133.485478,yes,yes,3,3,Sometimes,no,2.837797,no,1.343875,0.803156,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.999185,1.568543,102.000122,yes,yes,3,3,Sometimes,no,1.000544,no,0.001297,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.934757,1.579893,102.134646,yes,yes,3,3,Sometimes,no,1.005864,no,0.02006,0.695838,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.327723,1.782714,154.618446,yes,yes,3,3,Sometimes,no,2.319559,no,1.97073,0.768375,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.47219,1.793824,160.935351,yes,yes,3,3,Sometimes,no,2.069257,no,1.986646,0.947091,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.659557,111.999096,yes,yes,3,3,Sometimes,no,2.956548,no,0,0.010056,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.65782,111.95611,yes,yes,3,3,Sometimes,no,2.777557,no,0,0.051858,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.816445,1.684082,104.592372,yes,yes,3,3,Sometimes,no,1.295436,no,0.282063,0.929356,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.498965,1.68395,104.846817,yes,yes,3,3,Sometimes,no,1.241378,no,0.259427,0.852362,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.137495,1.716521,127.642324,yes,yes,3,3,Sometimes,no,1.313834,no,0.912334,0.707494,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.190733,1.680762,125.418548,yes,yes,3,3,Sometimes,no,1.124366,no,0.877067,0.552006,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.623303,110.81746,yes,yes,3,3,Sometimes,no,2.673754,no,0,0.33929,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.631856,110.804337,yes,yes,3,3,Sometimes,no,2.70485,no,0,0.243338,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.840654,1.747479,136.516648,yes,yes,3,3,Sometimes,no,1.607531,no,1.963379,0.858392,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.871667,1.782453,137.852618,yes,yes,3,3,Sometimes,no,2.748909,no,1.989171,0.832515,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.501721,1.809871,152.394739,yes,yes,3,3,Sometimes,no,2.351207,no,0.246831,0.91336,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.521294,1.803677,160.639405,yes,yes,3,3,Sometimes,no,2.404049,no,0.427905,0.639894,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.314593,1.745602,133.554686,yes,yes,3,3,Sometimes,no,2.923792,no,1.536555,0.62535,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.529746,1.751038,133.843033,yes,yes,3,3,Sometimes,no,2.955075,no,1.46046,0.655558,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.631547,111.588625,yes,yes,3,3,Sometimes,no,2.554007,no,0,0.252635,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.635905,111.571076,yes,yes,3,3,Sometimes,no,2.511399,no,0,0.258472,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.616975,104.846218,yes,yes,3,3,Sometimes,no,2.653563,no,0,0.55415,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.62788,104.92057,yes,yes,3,3,Sometimes,no,2.588107,no,0,0.465607,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.768153,1.76416,133.888629,yes,yes,3,3,Sometimes,no,2.32502,no,1.441791,0.918468,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.238416,1.763847,133.937873,yes,yes,3,3,Sometimes,no,2.836791,no,1.46782,0.890527,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.930376,1.608808,102.083964,yes,yes,3,3,Sometimes,no,1.019684,no,0.026033,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.919571,1.610488,102.174953,yes,yes,3,3,Sometimes,no,1.032834,no,0.04525,0.922749,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.918524,1.621231,104.986792,yes,yes,3,3,Sometimes,no,1.653049,no,0.139159,0.711331,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.565662,1.642392,104.988082,yes,yes,3,3,Sometimes,no,1.204055,no,0.094851,0.603736,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.744914,1.801983,138.034526,yes,yes,3,3,Sometimes,no,2.691591,no,1.168368,0.735372,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.704699,1.787614,137.858254,yes,yes,3,3,Sometimes,no,2.531456,no,1.980738,0.835771,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.089969,1.801478,151.417292,yes,yes,3,3,Sometimes,no,2.226081,no,1.881761,0.933964,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.120739,1.807576,152.567671,yes,yes,3,3,Sometimes,no,2.164718,no,1.999631,0.941336,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.650125,111.939671,yes,yes,3,3,Sometimes,no,2.770732,no,0,0.125235,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.652674,111.919155,yes,yes,3,3,Sometimes,no,2.814517,no,0,0.101598,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.986185,1.663632,105.122109,yes,yes,3,3,Sometimes,no,1.626467,no,0.010183,0.412806,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.982113,1.627818,105.428628,yes,yes,3,3,Sometimes,no,1.48075,no,0.098043,0.663492,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.748627,1.66877,104.774144,yes,yes,3,3,Sometimes,no,1.526416,no,0.180158,0.747909,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.959772,1.642098,104.966758,yes,yes,3,3,Sometimes,no,1.482002,no,0.204108,0.657221,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.653233,1.65757,109.931233,yes,yes,3,3,Sometimes,no,1.610472,no,0.029728,0.472343,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.783865,1.643111,109.910012,yes,yes,3,3,Sometimes,no,1.530992,no,0.01586,0.445495,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.412434,1.675562,121.639178,yes,yes,3,3,Sometimes,no,1.484938,no,0.74225,0.604692,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.77789,1.661415,120.748213,yes,yes,3,3,Sometimes,no,1.91039,no,0.217455,0.77582,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.140165,1.713133,133.735889,yes,yes,3,3,Sometimes,no,1.411365,no,1.564618,0.910683,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.413498,1.7199,133.886031,yes,yes,3,3,Sometimes,no,2.41752,no,1.556155,0.873936,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622701,109.982692,yes,yes,3,3,Sometimes,no,2.688229,no,0,0.451377,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622468,110.400847,yes,yes,3,3,Sometimes,no,2.695094,no,0,0.413474,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.618867,110.777391,yes,yes,3,3,Sometimes,no,2.618198,no,0,0.380695,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.600905,110.074946,yes,yes,3,3,Sometimes,no,2.555189,no,0,0.462973,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.391371,1.730636,131.902591,yes,yes,3,3,Sometimes,no,1.419136,no,1.700889,0.930888,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.051982,1.729719,131.877558,yes,yes,3,3,Sometimes,no,1.422483,no,1.708971,0.673009,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.455303,1.677672,114.470482,yes,yes,3,3,Sometimes,no,2.426094,no,0.294763,0.737226,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.69484,1.637524,113.90506,yes,yes,3,3,Sometimes,no,2.495961,no,0.189831,0.652289,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.601222,1.738717,128.114161,yes,yes,3,3,Sometimes,no,1.797041,no,1.427413,0.966181,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.81158,1.741193,128.763843,yes,yes,3,3,Sometimes,no,1.768111,no,0.616503,0.968151,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.993565,1.792833,152.43563,yes,yes,3,3,Sometimes,no,2.365188,no,1.256115,0.760091,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.074449,1.810427,152.217135,yes,yes,3,3,Sometimes,no,2.299156,no,1.699056,0.729722,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.904037,1.743589,133.281333,yes,yes,3,3,Sometimes,no,2.684819,no,1.46525,0.804491,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.783234,1.747962,133.936535,yes,yes,3,3,Sometimes,no,2.84174,no,1.429256,0.775378,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.291205,1.71146,113.372851,yes,yes,3,3,Sometimes,no,2.796894,no,0.382189,0.16779,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.311534,1.685482,113.451224,yes,yes,3,3,Sometimes,no,2.987718,no,0.387074,0.283804,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.639251,111.927001,yes,yes,3,3,Sometimes,no,2.675567,no,0,0.081929,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.654784,111.933152,yes,yes,3,3,Sometimes,no,2.770125,no,0,0.088236,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641209,111.856492,yes,yes,3,3,Sometimes,no,2.621877,no,0,0.153669,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643167,111.894229,yes,yes,3,3,Sometimes,no,2.72005,no,0,0.127443,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.966504,1.63073,104.790549,yes,yes,3,3,Sometimes,no,2.436097,no,0.129178,0.683736,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.950898,1.649867,104.791035,yes,yes,3,3,Sometimes,no,2.535629,no,0.152713,0.7702,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.613574,107.012256,yes,yes,3,3,Sometimes,no,2.678779,no,0,0.508848,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.627532,106.69053,yes,yes,3,3,Sometimes,no,2.569713,no,0,0.396972,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.848608,1.726606,131.76807,yes,yes,3,3,Sometimes,no,1.759352,no,1.469928,0.950438,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.801791,1.721476,131.042274,yes,yes,3,3,Sometimes,no,1.837184,no,1.525165,0.926443,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.712641,1.742901,132.8071,yes,yes,3,3,Sometimes,no,2.856795,no,1.046463,0.586163,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.063874,1.737313,133.166595,yes,yes,3,3,Sometimes,no,2.846259,no,1.295759,0.723154,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.95774,1.62414,102.233445,yes,yes,3,3,Sometimes,no,1.067716,no,0.030541,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.909353,1.644078,102.277765,yes,yes,3,3,Sometimes,no,1.029241,no,0.075776,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.954995,1.592529,102.874549,yes,yes,3,3,Sometimes,no,1.074412,no,0.006265,0.845633,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.908829,1.607734,102.305767,yes,yes,3,3,Sometimes,no,1.030501,no,0.06582,0.991473,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.297004,1.817271,141.917802,yes,yes,3,3,Sometimes,no,2.699675,no,1.520818,0.76399,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.301773,1.808765,140.292018,yes,yes,3,3,Sometimes,no,2.830247,no,1.783138,0.789064,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.872667,1.817231,152.371911,yes,yes,3,3,Sometimes,no,2.305521,no,1.956278,0.92376,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.13782,1.819728,151.278532,yes,yes,3,3,Sometimes,no,2.155926,no,1.999836,0.94603,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.656465,111.949972,yes,yes,3,3,Sometimes,no,2.784303,no,0,0.127775,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.648143,111.950113,yes,yes,3,3,Sometimes,no,2.786417,no,0,0.079673,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.622703,111.216192,yes,yes,3,3,Sometimes,no,2.707201,no,0,0.167272,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.640606,111.036881,yes,yes,3,3,Sometimes,no,2.709428,no,0,0.228486,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.42724,1.683502,104.759643,yes,yes,3,3,Sometimes,no,1.525127,no,0.220825,0.896105,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.795187,1.669039,104.593929,yes,yes,3,3,Sometimes,no,1.554925,no,0.209586,0.823069,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.493586,1.673665,104.704707,yes,yes,3,3,Sometimes,no,1.170515,no,0.264831,0.896842,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.524336,1.668931,104.768318,yes,yes,3,3,Sometimes,no,1.436616,no,0.167086,0.764717,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.908785,1.700996,126.490236,yes,yes,3,3,Sometimes,no,1.242832,no,0.530925,0.575969,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.781751,1.734092,125.117633,yes,yes,3,3,Sometimes,no,1.54249,no,0.6277,0.450479,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.289104,1.708291,130.986338,yes,yes,3,3,Sometimes,no,1.205548,no,1.723934,0.952352,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.210732,1.716497,130.871127,yes,yes,3,3,Sometimes,no,1.301657,no,1.718543,0.947884,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.62495,111.00492,yes,yes,3,3,Sometimes,no,2.704315,no,0,0.322666,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.594776,110.640929,yes,yes,3,3,Sometimes,no,2.639816,no,0,0.452236,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.626503,110.818757,yes,yes,3,3,Sometimes,no,2.708927,no,0,0.278962,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.624576,110.803117,yes,yes,3,3,Sometimes,no,2.704827,no,0,0.269577,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.656907,1.729099,134.842656,yes,yes,3,3,Sometimes,no,1.3954,no,1.931173,0.878258,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.760734,1.73581,135.346677,yes,yes,3,3,Sometimes,no,2.611654,no,1.618512,0.868788,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.028989,1.748524,133.878843,yes,yes,3,3,Sometimes,no,2.868167,no,1.48372,0.83509,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.282238,1.748951,133.662583,yes,yes,3,3,Sometimes,no,2.247979,no,1.609938,0.849236,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.388049,1.777971,137.785027,yes,yes,3,3,Sometimes,no,2.702789,no,1.606109,0.731213,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.022206,1.73995,135.693381,yes,yes,3,3,Sometimes,no,1.663213,no,1.094035,0.786665,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.102241,1.816868,153.959945,yes,yes,3,3,Sometimes,no,2.414739,no,1.917014,0.927982,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.291969,1.8002,155.242672,yes,yes,3,3,Sometimes,no,2.351193,no,1.051889,0.686491,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.530998,1.74647,133.644711,yes,yes,3,3,Sometimes,no,2.896088,no,1.612741,0.77319,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.976968,1.759091,133.903612,yes,yes,3,3,Sometimes,no,2.862408,no,1.456933,0.742423,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.924956,1.752531,133.618706,yes,yes,3,3,Sometimes,no,2.887659,no,1.480919,0.779641,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.28253,1.761773,133.903469,yes,yes,3,3,Sometimes,no,2.893062,no,1.408177,0.807457,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.633195,111.883747,yes,yes,3,3,Sometimes,no,2.619517,no,0,0.140368,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.633945,111.9307,yes,yes,3,3,Sometimes,no,2.682804,no,0,0.15171,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641601,111.830924,yes,yes,3,3,Sometimes,no,2.552388,no,0,0.196288,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641132,111.841706,yes,yes,3,3,Sometimes,no,2.617401,no,0,0.200379,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.999174,1.638218,104.810024,yes,yes,3,3,Sometimes,no,2.654636,no,0.069238,0.629578,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.999942,1.627483,104.881994,yes,yes,3,3,Sometimes,no,2.569364,no,0.159255,0.419446,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.610225,104.936381,yes,yes,3,3,Sometimes,no,1.322004,no,0,0.539876,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.61739,105.013901,yes,yes,3,3,Sometimes,no,1.292479,no,0,0.541309,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.365041,1.744319,133.45249,yes,yes,3,3,Sometimes,no,2.839069,no,1.231031,0.792496,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.421726,1.755467,133.478611,yes,yes,3,3,Sometimes,no,2.843782,no,1.302507,0.773807,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.826782,1.746416,133.747012,yes,yes,3,3,Sometimes,no,2.858389,no,1.444382,0.713823,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.94093,1.746411,133.676663,yes,yes,3,3,Sometimes,no,2.864933,no,1.501647,0.786846,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.921678,1.611452,102.363149,yes,yes,3,3,Sometimes,no,1.031701,no,0.03465,0.912345,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.940153,1.596813,102.320437,yes,yes,3,3,Sometimes,no,1.000536,no,0.005939,0.566353,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.999636,1.610126,102.686908,yes,yes,3,3,Sometimes,no,1.020313,no,0.108386,1,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.907833,1.623113,102.555691,yes,yes,3,3,Sometimes,no,1.063422,no,0.051097,0.543118,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.991194,1.618348,104.94582,yes,yes,3,3,Sometimes,no,2.45126,no,0.043689,0.670402,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.993154,1.609401,104.854928,yes,yes,3,3,Sometimes,no,2.613504,no,0.067985,0.778632,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.988668,1.621671,105.313967,yes,yes,3,3,Sometimes,no,1.042989,no,0.097114,0.42954,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.976209,1.614484,104.999403,yes,yes,3,3,Sometimes,no,1.237557,no,0.083675,0.543761,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.743587,1.789143,138.202869,yes,yes,3,3,Sometimes,no,2.83377,no,0.806422,0.672513,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.323767,1.774207,138.143162,yes,yes,3,3,Sometimes,no,2.816052,no,1.571865,0.688058,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.394047,1.792933,137.832414,yes,yes,3,3,Sometimes,no,2.682909,no,1.318743,0.900497,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.838323,1.758959,137.79299,yes,yes,3,3,Sometimes,no,2.640539,no,1.879818,0.885993,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.20634,1.807406,141.799429,yes,yes,3,3,Sometimes,no,2.472903,no,1.998047,0.840911,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.532826,1.75091,142.545183,yes,yes,3,3,Sometimes,no,2.372058,no,1.324805,0.870795,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.438478,1.805803,153.149491,yes,yes,3,3,Sometimes,no,2.387991,no,0.850715,0.656491,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.796266,1.796538,152.473675,yes,yes,3,3,Sometimes,no,2.322003,no,0.886602,0.843283,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.634894,111.946321,yes,yes,3,3,Sometimes,no,2.737353,no,0,0.076094,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.639524,111.945588,yes,yes,3,3,Sometimes,no,2.739351,no,0,0.064769,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643017,111.720238,yes,yes,3,3,Sometimes,no,2.632498,no,0,0.140792,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.641849,111.682693,yes,yes,3,3,Sometimes,no,2.632253,no,0,0.244205,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.621167,104.947703,yes,yes,3,3,Sometimes,no,2.57721,no,0,0.402075,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.992898,1.638075,105.036522,yes,yes,3,3,Sometimes,no,2.419153,no,0.019404,0.597626,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.60937,105.407313,yes,yes,3,3,Sometimes,no,2.609052,no,0,0.54859,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.608283,105.359688,yes,yes,3,3,Sometimes,no,2.476002,no,0,0.546345,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.951737,1.629442,104.835346,yes,yes,3,3,Sometimes,no,2.225139,no,0.035928,0.565315,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.982261,1.629225,104.838425,yes,yes,3,3,Sometimes,no,2.556068,no,0.01682,0.58284,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.470652,1.680218,104.807284,yes,yes,3,3,Sometimes,no,1.423073,no,0.197993,0.763359,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.289428,1.686033,104.772164,yes,yes,3,3,Sometimes,no,1.299194,no,0.234303,0.946888,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.696073,1.662978,110.930509,yes,yes,3,3,Sometimes,no,1.679489,no,0.017804,0.21523,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.561868,1.675185,110.621723,yes,yes,3,3,Sometimes,no,1.49583,no,0.109327,0.384129,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.834018,1.62456,110.10589,yes,yes,3,3,Sometimes,no,1.81786,no,0.011161,0.447224,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.895546,1.626179,110.074019,yes,yes,3,3,Sometimes,no,1.967707,no,0.01437,0.434073,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.035557,1.682594,127.427458,yes,yes,3,3,Sometimes,no,1.441289,no,1.425712,0.662277,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.634286,1.669354,126.088301,yes,yes,3,3,Sometimes,no,1.144539,no,0.922014,0.899673,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.700876,1.68838,121.889803,yes,yes,3,3,Sometimes,no,1.353167,no,1.093679,0.534553,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.741442,1.694439,122.813033,yes,yes,3,3,Sometimes,no,1.409444,no,0.933595,0.840393,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.695892,1.755476,133.870501,yes,yes,3,3,Sometimes,no,1.959287,no,1.433151,0.911335,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.635977,1.748106,133.259033,yes,yes,3,3,Sometimes,no,1.931163,no,1.562213,0.926565,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.232659,1.719913,131.567481,yes,yes,3,3,Sometimes,no,1.651462,no,1.655993,0.939982,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.008297,1.723587,131.929712,yes,yes,3,3,Sometimes,no,1.683448,no,1.645532,0.858059,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.962949,1.623812,109.996742,yes,yes,3,3,Sometimes,no,2.395387,no,0.000272,0.461532,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.624099,109.978402,yes,yes,3,3,Sometimes,no,2.523793,no,0,0.383953,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.632983,111.157811,yes,yes,3,3,Sometimes,no,2.638896,no,0,0.224559,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.640745,110.919646,yes,yes,3,3,Sometimes,no,2.666178,no,0,0.276907,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.629727,111.275646,yes,yes,3,3,Sometimes,no,2.495851,no,0,0.218645,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.624134,111.531208,yes,yes,3,3,Sometimes,no,2.609188,no,0,0.17403,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.964788,1.623938,109.984263,yes,yes,3,3,Sometimes,no,2.471721,no,0.000096,0.433463,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.994949,1.593321,110.168166,yes,yes,3,3,Sometimes,no,2.447306,no,0.000454,0.486558,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.952737,1.730333,132.116491,yes,yes,3,3,Sometimes,no,1.674061,no,1.683497,0.780199,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.978166,1.721057,132.054793,yes,yes,3,3,Sometimes,no,1.678791,no,1.68249,0.818871,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.67447,1.71978,132.262558,yes,yes,3,3,Sometimes,no,1.777805,no,1.584716,0.927341,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.568951,1.699315,133.10761,yes,yes,3,3,Sometimes,no,1.733306,no,1.773304,0.921136,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.647935,1.681394,114.479459,yes,yes,3,3,Sometimes,no,2.435978,no,0.232742,0.692608,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.196367,1.697421,114.482386,yes,yes,3,3,Sometimes,no,2.909675,no,0.360908,0.573887,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.284833,1.650726,113.774198,yes,yes,3,3,Sometimes,no,2.75137,no,0.324913,0.516764,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.693108,1.667383,112.982549,yes,yes,3,3,Sometimes,no,2.887909,no,0.312923,0.210997,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.862264,1.746277,128.705761,yes,yes,3,3,Sometimes,no,2.411582,no,0.985287,0.675076,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.423482,1.735461,126.798173,yes,yes,3,3,Sometimes,no,2.38639,no,1.544632,0.900067,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.394082,1.747714,128.148108,yes,yes,3,3,Sometimes,no,2.232601,no,0.554323,0.836151,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.217015,1.71582,129.466541,yes,yes,3,3,Sometimes,no,1.755907,no,1.48809,0.857718,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.330178,1.747987,147.296186,yes,yes,3,3,Sometimes,no,2.336349,no,1.4164,0.711724,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.528936,1.817917,142.559161,yes,yes,3,3,Sometimes,no,2.562002,no,1.976427,0.740331,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.364339,1.80835,150.51648,yes,yes,3,3,Sometimes,no,2.305574,no,1.734424,0.863043,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.131526,1.739457,150.37757,yes,yes,3,3,Sometimes,no,2.319912,no,1.582675,0.680746,Sometimes,Public_Transportation,Obesity_Type_III
+Female,19.012872,1.742062,133.779919,yes,yes,3,3,Sometimes,no,2.70196,no,1.465909,0.813235,Sometimes,Public_Transportation,Obesity_Type_III
+Female,18.469086,1.741925,133.017105,yes,yes,3,3,Sometimes,no,2.474518,no,1.560261,0.662489,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.572114,1.751067,133.845064,yes,yes,3,3,Sometimes,no,2.748569,no,1.427037,0.902825,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.680123,1.749118,133.955091,yes,yes,3,3,Sometimes,no,2.827773,no,1.412357,0.901071,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.469756,1.663341,113.077187,yes,yes,3,3,Sometimes,no,2.632224,no,0.300964,0.26956,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.12791,1.668537,112.555456,yes,yes,3,3,Sometimes,no,2.868679,no,0.115369,0.028583,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.986368,1.668951,112.249699,yes,yes,3,3,Sometimes,no,2.930137,no,0.043101,0.138629,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.951979,1.661712,112.098616,yes,yes,3,3,Sometimes,no,2.961899,no,0.259424,0.080128,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.633442,111.821817,yes,yes,3,3,Sometimes,no,2.550672,no,0,0.224655,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.63302,111.863186,yes,yes,3,3,Sometimes,no,2.584305,no,0,0.232108,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.633887,111.878132,yes,yes,3,3,Sometimes,no,2.621976,no,0,0.123861,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643421,111.939983,yes,yes,3,3,Sometimes,no,2.722276,no,0,0.091711,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.640535,111.555967,yes,yes,3,3,Sometimes,no,2.634342,no,0,0.178301,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.626483,111.357062,yes,yes,3,3,Sometimes,no,2.61939,no,0,0.171034,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.64599,111.922491,yes,yes,3,3,Sometimes,no,2.78678,no,0,0.09776,Sometimes,Public_Transportation,Obesity_Type_III
+Female,26,1.643892,111.884535,yes,yes,3,3,Sometimes,no,2.768141,no,0,0.094213,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.97731,1.617817,104.950776,yes,yes,3,3,Sometimes,no,1.71659,no,0.001272,0.545993,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.955014,1.626449,104.879602,yes,yes,3,3,Sometimes,no,2.094901,no,0.07089,0.599441,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.996716,1.62658,105.037203,yes,yes,3,3,Sometimes,no,2.347322,no,0.008013,0.503896,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.992348,1.606474,104.954291,yes,yes,3,3,Sometimes,no,2.331123,no,0.063383,0.561661,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.974446,1.628855,108.090006,yes,yes,3,3,Sometimes,no,1.757105,no,0.085119,0.465444,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.777565,1.628205,107.378702,yes,yes,3,3,Sometimes,no,2.506631,no,0.025787,0.484165,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.722004,1.62847,107.218949,yes,yes,3,3,Sometimes,no,2.48707,no,0.067329,0.455823,Sometimes,Public_Transportation,Obesity_Type_III
+Female,25.765628,1.627839,108.10736,yes,yes,3,3,Sometimes,no,2.320068,no,0.045246,0.413106,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.016849,1.724268,133.033523,yes,yes,3,3,Sometimes,no,1.650612,no,1.537639,0.912457,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.682367,1.732383,133.043941,yes,yes,3,3,Sometimes,no,1.610768,no,1.510398,0.931455,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.285965,1.72692,131.335786,yes,yes,3,3,Sometimes,no,1.796267,no,1.728332,0.897924,Sometimes,Public_Transportation,Obesity_Type_III
+Female,20.976842,1.71073,131.408528,yes,yes,3,3,Sometimes,no,1.728139,no,1.676269,0.906247,Sometimes,Public_Transportation,Obesity_Type_III
+Female,21.982942,1.748584,133.742943,yes,yes,3,3,Sometimes,no,2.00513,no,1.34139,0.59927,Sometimes,Public_Transportation,Obesity_Type_III
+Female,22.524036,1.752206,133.689352,yes,yes,3,3,Sometimes,no,2.054193,no,1.414209,0.646288,Sometimes,Public_Transportation,Obesity_Type_III
+Female,24.361936,1.73945,133.346641,yes,yes,3,3,Sometimes,no,2.852339,no,1.139107,0.586035,Sometimes,Public_Transportation,Obesity_Type_III
+Female,23.664709,1.738836,133.472641,yes,yes,3,3,Sometimes,no,2.863513,no,1.026452,0.714137,Sometimes,Public_Transportation,Obesity_Type_III
diff --git a/notebooks/clustering/MLDM_Coursework_Clustering_Preprocessing.ipynb b/notebooks/clustering/MLDM_Coursework_Clustering_Preprocessing.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9dadf51537a0ae50779195b985b0d8d764b928ba
--- /dev/null
+++ b/notebooks/clustering/MLDM_Coursework_Clustering_Preprocessing.ipynb
@@ -0,0 +1,1481 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>family_history_with_overweight</th>\n",
+       "      <th>FAVC</th>\n",
+       "      <th>FCVC</th>\n",
+       "      <th>NCP</th>\n",
+       "      <th>CAEC</th>\n",
+       "      <th>SMOKE</th>\n",
+       "      <th>CH2O</th>\n",
+       "      <th>SCC</th>\n",
+       "      <th>FAF</th>\n",
+       "      <th>TUE</th>\n",
+       "      <th>CALC</th>\n",
+       "      <th>MTRANS</th>\n",
+       "      <th>NObeyesdad</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "      <td>Normal_Weight</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "      <td>Normal_Weight</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>yes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>Frequently</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "      <td>Normal_Weight</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>Frequently</td>\n",
+       "      <td>Walking</td>\n",
+       "      <td>Overweight_Level_I</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>89.8</td>\n",
+       "      <td>no</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>no</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>no</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>Sometimes</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "      <td>Overweight_Level_II</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Gender   Age  Height  Weight family_history_with_overweight FAVC  FCVC  \\\n",
+       "0  Female  21.0    1.62    64.0                            yes   no   2.0   \n",
+       "1  Female  21.0    1.52    56.0                            yes   no   3.0   \n",
+       "2    Male  23.0    1.80    77.0                            yes   no   2.0   \n",
+       "3    Male  27.0    1.80    87.0                             no   no   3.0   \n",
+       "4    Male  22.0    1.78    89.8                             no   no   2.0   \n",
+       "\n",
+       "   NCP       CAEC SMOKE  CH2O  SCC  FAF  TUE        CALC  \\\n",
+       "0  3.0  Sometimes    no   2.0   no  0.0  1.0          no   \n",
+       "1  3.0  Sometimes   yes   3.0  yes  3.0  0.0   Sometimes   \n",
+       "2  3.0  Sometimes    no   2.0   no  2.0  1.0  Frequently   \n",
+       "3  3.0  Sometimes    no   2.0   no  2.0  0.0  Frequently   \n",
+       "4  1.0  Sometimes    no   2.0   no  0.0  0.0   Sometimes   \n",
+       "\n",
+       "                  MTRANS           NObeyesdad  \n",
+       "0  Public_Transportation        Normal_Weight  \n",
+       "1  Public_Transportation        Normal_Weight  \n",
+       "2  Public_Transportation        Normal_Weight  \n",
+       "3                Walking   Overweight_Level_I  \n",
+       "4  Public_Transportation  Overweight_Level_II  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df = pd.read_csv(r\"C:\\Users\\ritwi\\Downloads\\estimation+of+obesity+levels+based+on+eating+habits+and+physical+condition\\ObesityDataSet_raw_and_data_sinthetic.csv\")\n",
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2111 entries, 0 to 2110\n",
+      "Data columns (total 17 columns):\n",
+      " #   Column                          Non-Null Count  Dtype  \n",
+      "---  ------                          --------------  -----  \n",
+      " 0   Gender                          2111 non-null   object \n",
+      " 1   Age                             2111 non-null   float64\n",
+      " 2   Height                          2111 non-null   float64\n",
+      " 3   Weight                          2111 non-null   float64\n",
+      " 4   family_history_with_overweight  2111 non-null   object \n",
+      " 5   FAVC                            2111 non-null   object \n",
+      " 6   FCVC                            2111 non-null   float64\n",
+      " 7   NCP                             2111 non-null   float64\n",
+      " 8   CAEC                            2111 non-null   object \n",
+      " 9   SMOKE                           2111 non-null   object \n",
+      " 10  CH2O                            2111 non-null   float64\n",
+      " 11  SCC                             2111 non-null   object \n",
+      " 12  FAF                             2111 non-null   float64\n",
+      " 13  TUE                             2111 non-null   float64\n",
+      " 14  CALC                            2111 non-null   object \n",
+      " 15  MTRANS                          2111 non-null   object \n",
+      " 16  NObeyesdad                      2111 non-null   object \n",
+      "dtypes: float64(8), object(9)\n",
+      "memory usage: 280.5+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>FCVC</th>\n",
+       "      <th>NCP</th>\n",
+       "      <th>CH2O</th>\n",
+       "      <th>FAF</th>\n",
+       "      <th>TUE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "      <td>2111.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>24.312600</td>\n",
+       "      <td>1.701677</td>\n",
+       "      <td>86.586058</td>\n",
+       "      <td>2.419043</td>\n",
+       "      <td>2.685628</td>\n",
+       "      <td>2.008011</td>\n",
+       "      <td>1.010298</td>\n",
+       "      <td>0.657866</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>6.345968</td>\n",
+       "      <td>0.093305</td>\n",
+       "      <td>26.191172</td>\n",
+       "      <td>0.533927</td>\n",
+       "      <td>0.778039</td>\n",
+       "      <td>0.612953</td>\n",
+       "      <td>0.850592</td>\n",
+       "      <td>0.608927</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>14.000000</td>\n",
+       "      <td>1.450000</td>\n",
+       "      <td>39.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>19.947192</td>\n",
+       "      <td>1.630000</td>\n",
+       "      <td>65.473343</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.658738</td>\n",
+       "      <td>1.584812</td>\n",
+       "      <td>0.124505</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>22.777890</td>\n",
+       "      <td>1.700499</td>\n",
+       "      <td>83.000000</td>\n",
+       "      <td>2.385502</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.625350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>26.000000</td>\n",
+       "      <td>1.768464</td>\n",
+       "      <td>107.430682</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.477420</td>\n",
+       "      <td>1.666678</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>61.000000</td>\n",
+       "      <td>1.980000</td>\n",
+       "      <td>173.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "               Age       Height       Weight         FCVC          NCP  \\\n",
+       "count  2111.000000  2111.000000  2111.000000  2111.000000  2111.000000   \n",
+       "mean     24.312600     1.701677    86.586058     2.419043     2.685628   \n",
+       "std       6.345968     0.093305    26.191172     0.533927     0.778039   \n",
+       "min      14.000000     1.450000    39.000000     1.000000     1.000000   \n",
+       "25%      19.947192     1.630000    65.473343     2.000000     2.658738   \n",
+       "50%      22.777890     1.700499    83.000000     2.385502     3.000000   \n",
+       "75%      26.000000     1.768464   107.430682     3.000000     3.000000   \n",
+       "max      61.000000     1.980000   173.000000     3.000000     4.000000   \n",
+       "\n",
+       "              CH2O          FAF          TUE  \n",
+       "count  2111.000000  2111.000000  2111.000000  \n",
+       "mean      2.008011     1.010298     0.657866  \n",
+       "std       0.612953     0.850592     0.608927  \n",
+       "min       1.000000     0.000000     0.000000  \n",
+       "25%       1.584812     0.124505     0.000000  \n",
+       "50%       2.000000     1.000000     0.625350  \n",
+       "75%       2.477420     1.666678     1.000000  \n",
+       "max       3.000000     3.000000     2.000000  "
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Obesity_Type_I         351\n",
+       "Obesity_Type_III       324\n",
+       "Obesity_Type_II        297\n",
+       "Overweight_Level_I     290\n",
+       "Overweight_Level_II    290\n",
+       "Normal_Weight          287\n",
+       "Insufficient_Weight    272\n",
+       "Name: NObeyesdad, dtype: int64"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Gender'].value_counts()\n",
+    "df['family_history_with_overweight'].value_counts()\n",
+    "df['NObeyesdad'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.figure(figsize=(12, 8))\n",
+    "df['NObeyesdad'].value_counts().plot(kind='bar',color = 'teal')\n",
+    "plt.title(\"Distribution of Obesity Levels\")\n",
+    "plt.xlabel(\"Obesity Category\")\n",
+    "plt.ylabel(\"Count\")\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Target Variable Distribution\n",
+    "\n",
+    "Even though the `NObeyesdad` column is not used in clustering, it's helpful to check the class distribution for context. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Public_Transportation', 'Walking', 'Automobile', 'Motorbike',\n",
+       "       'Bike'], dtype=object)"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['MTRANS'].unique()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x576 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "corr = df.corr()\n",
+    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
+    "\n",
+    "plt.figure(figsize=(12, 8))\n",
+    "sns.heatmap(corr, mask=mask, annot=True, cmap='coolwarm', center=0)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Correlation Heatmap\n",
+    "\n",
+    "This heatmap shows how the numeric features in the dataset relate to each other.\n",
+    "\n",
+    "- The only strong-ish correlation is between **Height and Weight** (~0.46), which makes sense.\n",
+    "- Everything else has pretty low correlation (most between -0.3 and 0.3).\n",
+    "- No major multicollinearity issues, so we don’t need to drop any features.\n",
+    "\n",
+    "Overall, this helps confirm that all features can be kept for clustering.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.figure(figsize=(15, 7))\n",
+    "sns.histplot(df['Age'], kde=True, color='blue')\n",
+    "plt.title('Age Distribution')\n",
+    "plt.xlabel('Age')\n",
+    "plt.ylabel('Frequency')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Age Distribution\n",
+    "\n",
+    "The histogram above shows the distribution of ages in the dataset.\n",
+    "\n",
+    "- Most individuals are in their early 20s, with a noticeable concentration between **18 and 25** years old.\n",
+    "- There's a steady drop-off after age 30, with very few individuals above 50.\n",
+    "- The KDE (blue curve) gives a smooth estimate of the age distribution and highlights the skew toward younger age groups.\n",
+    "\n",
+    "This helps us understand the age bias in the dataset, which could influence clustering results depending on how age interacts with other features.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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k2rRpU9XWv39/br75Zvr06UODBg14++23Oeigg5g/fz7z5s3jgAMO4K677uKII47Y6P569+7NPffcw/e+9z0mTJhAy5Yt+cxnPrPB/pdccgknnngihx9+OO3bt2fNmjVcd911/Pd//zdf+MIXGDNmDKeddhr33HMPhx9++Eb3vWDBAvbZZx/OOuss3n//faZNm8aQIUPYc889mTNnDgceeCDjxo2r0cxZsTVr1jB27FgGDRrEvffeW1VH06ZNWbFixXr9P//5z/Otb32LZcuWsfvuuzN69GguvPDCzdrn5jCQSZJUx40ePbrqHKtKX/va17j33nvXOtn8zDPP5O9//zudO3emYcOGnHXWWVxwwQXccccdDBw4kNWrV9O9e3fOOeecje7vyiuv5PTTT6dz587ssssujBo1aqP9O3fuzHXXXcepp57KBx98QETwla98BYAbbriBM844gxEjRtCqVSvuuOOOjY41YcIERowYQcOGDWnSpEnVDNnVV1/NV7/6Vdq0aUPHjh1ZuXLlRsdZ16677soLL7xAt27d2G233bjvvvuAwkUB55xzDjvvvDPPPPNMVf+99tqLn/70p/Tt25eUEkcffTTHHXfcZu1zc8SmpjK3eOCIA4H7ipr2A74P3Jm1lwHzgZNTSu9EYe7veuBo4ANgWEpp/TMWi1RUVKTKKyH06TlDJkl1w5w5c+jQoUPeZWxXmjRpstkh7tOo7jOMiKkppYrq+pfsHLKU0ssppfKUUjnQjULIGgdcCjyWUmoHPJYtAxwFtMv+zgZuWn9USZKk7U9tndTfD3glpbQAOA6onPscBRyfPT8OuDMV/A1oFhF71VJ9kiRpO1abs2NborYC2SCg8vrcPVNKSwCyxz2y9n2AhUXbLMra1hIRZ0fElIiYsnTp0hKWLEmSVDtKHsgiohFwLPDAprpW07beCW4ppVtSShUppYpWrVptjRIlSZJyVRszZEcB01JKlb8r8Gblocjs8a2sfRHQpmi71sBiJEmStnO1EchO5d+HKwEeAoZmz4cCvy9qHxIFPYD3Kg9tSpIkbc9Keh+yiNgF+DLwzaLmq4H7I2I48BowMGv/I4VbXsyjcEXm6aWsTZJUO7yljrRpJQ1kKaUPgBbrtC2ncNXlun0TcH4p65EkaXvW7ZI7t+p4U0ds/EfFtfX4W5aSJGmLzZ8/nw4dOnDWWWdxyCGH0L9/fz788ENmzJhBjx496Ny5MyeccALvvPNO3qXWaQYySZL0qcydO5fzzz+fF154gWbNmvHb3/6WIUOG8LOf/YyZM2fSqVMnfvCDH+RdZp1mIJMkSZ9K27ZtKS8vB6Bbt2688sorvPvuu1U/Yj506FAmTpyYZ4l1noFMkiR9KjvttFPV8/r16/Puu+/mWM22yUAmSZK2qt12243dd9+dp556CoC77rqrarZM1SvpVZaSJGnHNGrUKM455xw++OAD9ttvP+644468S6rTDGSSJG0n8rhNRVlZGbNnz65avvjii6ue/+1vf6v1erZVHrKUJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmS9Kn8+Mc/5pBDDqFz586Ul5fz7LPPlmQ/7777Lv/7v/9btbx48WJOOumkkuyrtnkfMkmSthOvXdVpq4637/dnbbLPM888w8MPP8y0adPYaaedWLZsGf/617+2ah2VKgPZeeedB8Dee+/N2LFjS7Kv2uYMmSRJ2mJLliyhZcuWVb9n2bJlS/bee28ee+wxunTpQqdOnTjjjDP46KOPgMKNZL/73e9y2GGHUVFRwbRp0xgwYAD7778/N998c9W4I0aMoHv37nTu3JkrrrgCgEsvvZRXXnmF8vJyLrnkEubPn0/Hjh0BGDlyJMcffzzHHHMMbdu25Ze//CXXXnstXbp0oUePHrz99tsAvPLKKxx55JF069aNXr168dJLLwHwwAMP0LFjRw499FB69+5da+9fJQOZJEnaYv3792fhwoW0b9+e8847jyeffJJVq1YxbNgw7rvvPmbNmsXq1au56aabqrZp06YNzzzzDL169WLYsGGMHTuWv/3tb3z/+98HYPz48cydO5fnnnuOGTNmMHXqVCZOnMjVV1/N/vvvz4wZMxgxYsR6tcyePZt7772X5557jssvv5xddtmF6dOnc9hhh3HnnXcCcPbZZ3PjjTcydepUrrnmmqrZtquuuopHH32U559/noceeqgW3rm1echSkiRtsSZNmjB16lSeeuopnnjiCU455RQuu+wy2rZtS/v27QEYOnQov/rVr/jP//xPAI499lgAOnXqxMqVK2natClNmzalcePGvPvuu4wfP57x48fTpUsXAFauXMncuXPZd999N1pL3759q8babbfdOOaYY6r2M3PmTFauXMlf//pXBg4cWLVN5cxdz549GTZsGCeffDInnnji1n2TasBAJkmSPpX69evTp08f+vTpQ6dOnRg1atRG+1ce3qxXr17V88rl1atXk1Lisssu45vf/OZa282fP79G4647duW4a9asoVmzZsyYMWO9bW+++WaeffZZHnnkEcrLy5kxYwYtWrTY6P62Jg9ZSpKkLfbyyy8zd+7cquUZM2aw5557Mn/+fObNmwfAXXfdxRFHHFHjMQcMGMDtt9/OypUrAXj99dd56623aNq0KStWrNjiWj/zmc/Qtm1bHnjgAQBSSjz//PNA4dyyz3/+81x11VW0bNmShQsXbvF+toQzZJIkaYutXLmSCy+8kHfffZcGDRpwwAEHcMstt3DqqacycOBAVq9eTffu3TnnnHNqPGb//v2ZM2cOhx12GFA4LHr33Xez//7707NnTzp27MhRRx3F+eefv9n13nPPPZx77rn86Ec/4uOPP2bQoEEceuihXHLJJcydO5eUEv369ePQQw/d7LE/jUgp1eoOt6aKioo0ZcqUvMvYbmzty6Xrmppcvi1p6/O7ZfPNmTOHDh06bPVxVXuq+wwjYmpKqaK6/h6ylCRJypmBTJIkKWcGMkmSpJwZyCRJknJmIJMkScqZgUySJClnBjJJkrTF6tevT3l5edXfpu6mn4frrruODz74oGq5rKyMZcuW5VjR+rwxrCRJ24meN/bcquM9feHTm+yz8847V/tTRJVWr15Ngwb5xo3rrruOb3zjG+yyyy651rExzpBJkqStauTIkQwcOJBjjjmG/v37AzBixAi6d+9O586dueKKK6r6/vjHP+bAAw/kS1/6EqeeeirXXHMNAH369KHy5u/Lli2jrKwMgE8++YRLLrmkaqxf//rXAEyYMIE+ffpw0kkncdBBBzF48GBSStxwww0sXryYvn370rdv37Xq/N73vsf1119ftXz55Zdzww03lOx92RhnyCRJ0hb78MMPKS8vB6Bt27aMGzcOgGeeeYaZM2fSvHlzxo8fz9y5c3nuuedIKXHssccyceJEdt11V8aMGcP06dNZvXo1Xbt2pVu3bhvd32233cZuu+3G5MmT+eijj+jZs2dV6Js+fTovvPACe++9Nz179uTpp5/moosu4tprr+WJJ56gZcuWa401fPhwTjzxRL71rW+xZs0axowZw3PPPVeCd2nTDGSSJGmLbeiQ5Ze//GWaN28OwPjx4xk/fjxdunQBCr9/OXfuXFasWMEJJ5xQdSjx2GOP3eT+xo8fz8yZMxk7diwA7733HnPnzqVRo0Z87nOfo3Xr1gBV57MdfvjhGxyrrKyMFi1aMH36dN588026dOlCixYtNu8N2EoMZJIkaavbddddq56nlLjsssv45je/uVaf6667joiodvsGDRqwZs0aAFatWrXWWDfeeCMDBgxYq/+ECRPYaaedqpbr16/P6tWrN1nnmWeeyciRI3njjTc444wzNv3CSqSk55BFRLOIGBsRL0XEnIg4LCKaR8SfI2Ju9rh71jci4oaImBcRMyOiaylrkyRJtWPAgAHcfvvtrFy5EoDXX3+dt956i969ezNu3Dg+/PBDVqxYwR/+8IeqbcrKypg6dSpA1WxY5Vg33XQTH3/8MQB///vfef/99ze6/6ZNm7JixYpq151wwgn86U9/YvLkyeuFvNpU6hmy64E/pZROiohGwC7Ad4HHUkpXR8SlwKXAd4CjgHbZ3+eBm7JHSZK0Devfvz9z5szhsMMOA6BJkybcfffddO3alVNOOYXy8nI++9nP0qtXr6ptLr74Yk4++WTuuusuvvjFL1a1n3nmmcyfP5+uXbuSUqJVq1Y8+OCDG93/2WefzVFHHcVee+3FE088sda6Ro0a0bdvX5o1a0b9+vW34qvePJFSKs3AEZ8Bngf2S0U7iYiXgT4ppSURsRcwIaV0YET8Ons+et1+G9pHRUVFqrwCQ5/ea1d1yruEktr3+7PyLkHaIfndsvnmzJlDhw4dtvq4dd2VV15JkyZNuPjii2ttn2vWrKFr16488MADtGvXbquNW91nGBFTU0oV1fUv5SHL/YClwB0RMT0ibo2IXYE9K0NW9rhH1n8fYGHR9ouyNkmSpK3uxRdf5IADDqBfv35bNYxtiVIesmwAdAUuTCk9GxHXUzg8uSHVndW33vRdRJwNnA2w7777bo06JUlSHXDllVfW6v4OPvhgXn311Vrd54aUcoZsEbAopfRstjyWQkB7MztUSfb4VlH/NkXbtwYWrztoSumWlFJFSqmiVatWJStekiSptpQskKWU3gAWRsSBWVM/4EXgIWBo1jYU+H32/CFgSHa1ZQ/gvY2dPyZJkrS9KPVVlhcC92RXWL4KnE4hBN4fEcOB14CBWd8/AkcD84APsr6SJEnbvZIGspTSDKC6qwn6VdM3AeeXsh5JkqS6yB8XlyRJn9q4ceOICF566SUA5s+fT8eOHXOuatvhTydJkrSdeLL3EVt1vCMmPlnjvqNHj+bwww9nzJgxtX615PbAGTJJkvSprFy5kqeffprbbruNMWPGrLf+6KOPZubMmQB06dKFq666CoDvfe973HrrraxcuZJ+/frRtWtXOnXqxO9///uq9ddff33VOJdffjk33HADS5YsoXfv3pSXl9OxY0eeeuqpWniVpWUgkyRJn8qDDz7IkUceSfv27WnevDnTpk1ba33v3r156qmn+Oc//0mDBg14+umnAZg0aRK9evWicePGjBs3jmnTpvHEE0/w7W9/m5QSw4cPZ9SoUUDhjvpjxoxh8ODB3HvvvQwYMIAZM2bw/PPPU15eXuuveWszkEmSpE9l9OjRDBo0CIBBgwYxevTotdb36tWLiRMnMmnSJL7yla+wcuVKPvjgA+bPn8+BBx5ISonvfve7dO7cmS996Uu8/vrrvPnmm5SVldGiRQumT5/O+PHj6dKlCy1atKB79+7ccccdXHnllcyaNYumTZvm8bK3Ks8hkyRJW2z58uU8/vjjzJ49m4jgk08+ISI477zzqvp0796dKVOmsN9++/HlL3+ZZcuW8Zvf/IZu3boBcM8997B06VKmTp1Kw4YNKSsrY9WqVUDhx8RHjhzJG2+8wRlnnAEUZtwmTpzII488wmmnncYll1zCkCFDav/Fb0XOkEmSpC02duxYhgwZwoIFC5g/fz4LFy6kbdu2LFq0qKpPo0aNaNOmDffffz89evSgV69eXHPNNfTq1QuA9957jz322IOGDRvyxBNPsGDBgqptTzjhBP70pz8xefJkBgwYAMCCBQvYY489OOussxg+fPh6h0i3Rc6QSZKkLTZ69GguvXTtn6r+2te+xk9+8pO12nr16sVjjz3GLrvsQq9evVi0aFFVIBs8eDDHHHMMFRUVlJeXc9BBB1Vt16hRI/r27UuzZs2oX78+ABMmTGDEiBE0bNiQJk2acOedd5b4VZZeFO7Hum2qqKhIU6ZMybuM7cZrV3XKu4SS2vf7s/IuQdoh+d2y+ebMmUOHDh22+rjbojVr1tC1a1ceeOAB2rVrl3c5NVbdZxgRU1NK1d0w30OWkiSpbnrxxRc54IAD6Nev3zYVxraEhywlSVKddPDBB/Pqq6/mXUatcIZMkiQpZwYySZLqoG35HO8d3ZZ8dgYySZLqmMaNG7N8+XJD2TYopcTy5ctp3LjxZm3nOWSSJNUxrVu3ZtGiRSxdujTvUrQFGjduTOvWrXLJfuYAABN0SURBVDdrGwOZJEl1TMOGDWnbtm3eZagWechSkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJwZyCRJknJmIJMkScqZgUySJClnBjJJkqScGcgkSZJyZiCTJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJwZyCRJknJW0kAWEfMjYlZEzIiIKVlb84j4c0TMzR53z9ojIm6IiHkRMTMiupayNkmSpLqiNmbI+qaUylNKFdnypcBjKaV2wGPZMsBRQLvs72zgplqoTZIkKXd5HLI8DhiVPR8FHF/Ufmcq+BvQLCL2yqE+SZKkWlXqQJaA8RExNSLOztr2TCktAcge98ja9wEWFm27KGtbS0ScHRFTImLK0qVLS1i6JElS7WhQ4vF7ppQWR8QewJ8j4qWN9I1q2tJ6DSndAtwCUFFRsd56SZKkbU1JZ8hSSouzx7eAccDngDcrD0Vmj29l3RcBbYo2bw0sLmV9kiRJdUHJAllE7BoRTSufA/2B2cBDwNCs21Dg99nzh4Ah2dWWPYD3Kg9tSpIkbc9KechyT2BcRFTu596U0p8iYjJwf0QMB14DBmb9/wgcDcwDPgBOL2FtkiRJdUbJAllK6VXg0GralwP9qmlPwPmlqkeSJKmu8k79kiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUs5IHsoioHxHTI+LhbLltRDwbEXMj4r6IaJS175Qtz8vWl5W6NkmSpLqgNmbIvgXMKVr+GfCLlFI74B1geNY+HHgnpXQA8IusnyRJ0navRoEsInrWpK2aPq2BrwC3ZssBfBEYm3UZBRyfPT8uWyZb3y/rL0mStF2r6QzZjTVsW9d1wP8Aa7LlFsC7KaXV2fIiYJ/s+T7AQoBs/XtZ/7VExNkRMSUipixdurSG5UuSJNVdDTa2MiIOA74AtIqI/y5a9Rmg/ia2/SrwVkppakT0qWyupmuqwbp/N6R0C3ALQEVFxXrrJUmStjUbDWRAI6BJ1q9pUfs/gZM2sW1P4NiIOBpoTCHEXQc0i4gG2SxYa2Bx1n8R0AZYFBENgN2AtzfjtUiSJG2TNhrIUkpPAk9GxMiU0oLNGTildBlwGUA2Q3ZxSmlwRDxAIcyNAYYCv882eShbfiZb/3hKyRkwSZK03dvUDFmlnSLiFqCseJuU0he3YJ/fAcZExI+A6cBtWfttwF0RMY/CzNigLRhbkiRpm1PTQPYAcDOFqyU/2dydpJQmABOy568Cn6umzypg4OaOLUmStK2raSBbnVK6qaSVSJIk7aBqetuLP0TEeRGxV0Q0r/wraWWSJEk7iJrOkA3NHi8pakvAflu3HEmSpB1PjQJZSqltqQuRJEnaUdUokEXEkOraU0p3bt1yJEmSdjw1PWTZveh5Y6AfMA0wkEmSJH1KNT1keWHxckTsBtxVkookSZJ2MDW9ynJdHwDttmYhkiRJO6qankP2B/79Q9/1gQ7A/aUqSpIkaUdS03PIril6vhpYkFJaVIJ6JEmSdjg1OmSZ/cj4S0BTYHfgX6UsSpIkaUdSo0AWEScDz1H4rcmTgWcj4qRSFiZJkrSjqOkhy8uB7imltwAiohXwF2BsqQqTJEnaUdT0Kst6lWEss3wztpUkSdJG1HSG7E8R8SgwOls+BfhjaUqSJEnasWw0kEXEAcCeKaVLIuJE4HAggGeAe2qhPkmSpO3epg47XgesAEgp/S6l9N8ppf+iMDt2XamLkyRJ2hFsKpCVpZRmrtuYUpoClJWkIkmSpB3MpgJZ442s23lrFiJJkrSj2lQgmxwRZ63bGBHDgamlKUmSJGnHsqmrLP8TGBcRg/l3AKsAGgEnlLIwSZKkHcVGA1lK6U3gCxHRF+iYNT+SUnq85JVJkiTtIGp0H7KU0hPAEyWuRZJ2SN0uuTPvEkpqXNO8K5DqPu+2L0mSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOStZIIuIxhHxXEQ8HxEvRMQPsva2EfFsRMyNiPsiolHWvlO2PC9bX1aq2iRJkuqSUs6QfQR8MaV0KFAOHBkRPYCfAb9IKbUD3gGGZ/2HA++klA4AfpH1kyRJ2u41KNXAKaUErMwWG2Z/Cfgi8PWsfRRwJXATcFz2HGAs8MuIiGycOqHbJXfmXUJJjWuadwWSJO2YSnoOWUTUj4gZwFvAn4FXgHdTSquzLouAfbLn+wALAbL17wEtSlmfJElSXVDSQJZS+iSlVA60Bj4HdKiuW/YYG1lXJSLOjogpETFl6dKlW69YSZKknNTKVZYppXeBCUAPoFlEVB4qbQ0szp4vAtoAZOt3A96uZqxbUkoVKaWKVq1albp0SZKkkivlVZatIqJZ9nxn4EvAHOAJ4KSs21Dg99nzh7JlsvWP16XzxyRJkkqlZCf1A3sBoyKiPoXgd39K6eGIeBEYExE/AqYDt2X9bwPuioh5FGbGBpWwNkmSpDqjlFdZzgS6VNP+KoXzydZtXwUMLFU9kiRJdZV36pckScqZgUySJClnBjJJkqScGcgkSZJyZiCTJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJwZyCRJknJmIJMkScqZgUySJClnBjJJkqScGcgkSZJyZiCTJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJwZyCRJknJmIJMkScqZgUySJClnBjJJkqScGcgkSZJyZiCTJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJyVLJBFRJuIeCIi5kTECxHxray9eUT8OSLmZo+7Z+0RETdExLyImBkRXUtVmyRJUl1Syhmy1cC3U0odgB7A+RFxMHAp8FhKqR3wWLYMcBTQLvs7G7iphLVJkiTVGSULZCmlJSmladnzFcAcYB/gOGBU1m0UcHz2/DjgzlTwN6BZROxVqvokSZLqilo5hywiyoAuwLPAnimlJVAIbcAeWbd9gIVFmy3K2tYd6+yImBIRU5YuXVrKsiVJkmpFyQNZRDQBfgv8Z0rpnxvrWk1bWq8hpVtSShUppYpWrVptrTIlSZJyU9JAFhENKYSxe1JKv8ua36w8FJk9vpW1LwLaFG3eGlhcyvokSZLqglJeZRnAbcCclNK1RaseAoZmz4cCvy9qH5JdbdkDeK/y0KYkSdL2rEEJx+4JnAbMiogZWdt3gauB+yNiOPAaMDBb90fgaGAe8AFweglrkyRJqjNKFshSSpOo/rwwgH7V9E/A+aWqR5Ikqa7yTv2SJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpSzkgWyiLg9It6KiNlFbc0j4s8RMTd73D1rj4i4ISLmRcTMiOhaqrokSZLqmlLOkI0Ejlyn7VLgsZRSO+CxbBngKKBd9nc2cFMJ65IkSapTShbIUkoTgbfXaT4OGJU9HwUcX9R+Zyr4G9AsIvYqVW2SJEl1SW2fQ7ZnSmkJQPa4R9a+D7CwqN+irG09EXF2REyJiClLly4tabGSJEm1oa6c1B/VtKXqOqaUbkkpVaSUKlq1alXisiRJkkqvtgPZm5WHIrPHt7L2RUCbon6tgcW1XJskSVIuajuQPQQMzZ4PBX5f1D4ku9qyB/Be5aFNSZKk7V2DUg0cEaOBPkDLiFgEXAFcDdwfEcOB14CBWfc/AkcD84APgNNLVZckSVJdU7JAllI6dQOr+lXTNwHnl6oWSZKkuqyunNQvSZK0wzKQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzgxkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpSzBnkXIEnStqznjT3zLqFknr7w6bxL2GE4QyZJkpQzA5kkSVLODGSSJEk5M5BJkiTlzEAmSZKUMwOZJElSzrzthXYYXpouSaqrnCGTJEnKmYFMkiQpZwYySZKknBnIJEmScmYgkyRJypmBTJIkKWcGMkmSpJzVqUAWEUdGxMsRMS8iLs27HkmSpNpQZwJZRNQHfgUcBRwMnBoRB+dblSRJUunVmUAGfA6Yl1J6NaX0L2AMcFzONUmSJJVcXfrppH2AhUXLi4DP51SLJEk7vCd7H5F3CSV1xMQn8y6hSl0KZFFNW1qvU8TZwNnZ4sqIeLmkVe1APpt3AaXXEliWdxGlEBdV9z8fqW7wu2Xb1SfvAkotav27c4P/c6hLgWwR0KZouTWweN1OKaVbgFtqqyhtPyJiSkqpIu86JG1f/G7R1lCXziGbDLSLiLYR0QgYBDyUc02SJEklV2dmyFJKqyPiAuBRoD5we0rphZzLkiRJKrk6E8gAUkp/BP6Ydx3abnmoW1Ip+N2iTy1SWu+8eUmSJNWiunQOmSRJ0g7JQKY6LyI+iYgZRX9lJdzXsIj4ZanGl7RtiIgUEXcVLTeIiKUR8fAmtuuzqT5SderUOWTSBnyYUirPuwhJO5T3gY4RsXNK6UPgy8DrOdek7ZgzZNomRUT9iBgREZMjYmZEfDNr7xMRT0bE/RHx94i4OiIGR8RzETErIvbP+h0TEc9GxPSI+EtE7FnNPlpFxG+zfUyOiJ61/Tol5er/gK9kz08FRleuiIjPRcRfs++Qv0bEgetuHBG7RsTt2ffH9Ijw5wC1QQYybQt2LjpcOS5rGw68l1LqDnQHzoqIttm6Q4FvAZ2A04D2KaXPAbcCF2Z9JgE9UkpdKPxu6v9Us9/rgV9k+/hatr2kHccYYFBENAY6A88WrXsJ6J19h3wf+Ek1218OPJ59h/QFRkTEriWuWdsoD1lqW1DdIcv+QOeIOClb3g1oB/wLmJxSWgIQEa8A47M+syh8KULhlyDui4i9gEbAP6rZ75eAg+PfP63xmYhomlJasRVek6Q6LqU0Mztn9VTWvyXTbsCoiGhH4Wf+GlYzRH/g2Ii4OFtuDOwLzClJwdqmGci0rQrgwpTSo2s1RvQBPipqWlO0vIZ//zd/I3BtSumhbJsrq9lHPeCw7PwRSTumh4BrKPysY4ui9h8CT6SUTshC24Rqtg3gayklf3NZm+QhS22rHgXOjYiGABHRfjMPBezGv0/QHbqBPuOBCyoXIsILC6Qdz+3AVSmlWeu0F3+HDNvAto8CF0Y2zR4RXUpSobYLBjJtq24FXgSmRcRs4Nds3ozvlcADEfEUsGwDfS4CKrKLBl4EzvkU9UraBqWUFqWUrq9m1c+Bn0bE0xR+7q86P6RwKHNm9j31wxKVqe2Ad+qXJEnKmTNkkiRJOTOQSZIk5cxAJkmSlDMDmSRJUs4MZJIkSTkzkEnarkTEnhFxb0S8GhFTI+KZiDhhK4zbJyIe3ho1StK6DGSSthvZDTgfBCamlPZLKXUDBlH4qazarsVfQpFUYwYySduTLwL/SindXNmQUlqQUroxIupHxIiImJzd7PebUDXzNSEixkbESxFxT9Gd1Y/M2iYBJ1aOGRG7RsTt2VjTI+K4rH1YRDwQEX/g37+hKkmb5P+Dk7Q9OQSYtoF1w4H3UkrdI2In4OmIqAxNXbJtFwNPAz0jYgrwGwohbx5wX9FYlwOPp5TOiIhmwHMR8Zds3WFA55TS21vzhUnavhnIJG23IuJXwOHAv4AFQOeIOClbvRvQLlv3XEppUbbNDKAMWAn8I6U0N2u/Gzg727Y/cGxEXJwtNwb2zZ7/2TAmaXMZyCRtT14Avla5kFI6PyJaAlOA14ALU0qPFm8QEX2Aj4qaPuHf340b+m25AL6WUnp5nbE+D7z/aV6ApB2T55BJ2p48DjSOiHOL2nbJHh8Fzo2IhgAR0T4idt3IWC8BbSNi/2z51KJ1jwIXFp1r1mWrVC9ph2Ugk7TdSCkl4HjgiIj4R0Q8B4wCvgPcCrwITIuI2cCv2chRgpTSKgqHKB/JTupfULT6h0BDYGY21g9L8Xok7Tii8P0lSZKkvDhDJkmSlDMDmSRJUs4MZJIkSTkzkEmSJOXMQCZJkpQzA5kkSVLODGSSJEk5M5BJkiTl7P8HgJZ5zOCrB6IAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(10, 6))\n",
+    "sns.countplot(x='Gender', hue='CALC', data=df)\n",
+    "plt.title('Alcohol Consumption by Gender')\n",
+    "plt.xlabel('Gender')\n",
+    "plt.ylabel('Count')\n",
+    "plt.legend(title='Alcohol Consumption')\n",
+    "plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Alcohol Consumption by Gender\n",
+    "\n",
+    "This grouped bar chart shows how alcohol consumption levels vary between males and females.\n",
+    "\n",
+    "- The majority of individuals in both genders report drinking alcohol **\"Sometimes\"**.\n",
+    "- A smaller portion of participants selected **\"No\"**, with slightly more male non-drinkers than female.\n",
+    "- Very few individuals marked **\"Frequently\"** or **\"Always\"**, indicating that heavy drinking is rare in this dataset.\n",
+    "\n",
+    "This visualization helps explore potential lifestyle patterns that may contribute to clustering, especially when combined with other features like physical activity and diet.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 864x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 7))\n",
+    "sns.boxplot(x='NObeyesdad', y='Weight', data=df)\n",
+    "plt.title('Weight vs. Obesity Level')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x504 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(15, 7))\n",
+    "sns.countplot(x='Gender', hue='NObeyesdad', data=df)\n",
+    "plt.title('Obesity Levels by Gender')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 1.0, 'Physical Activity Frequency Distribution')"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "sns.histplot(df['FAF'], kde=True)\n",
+    "plt.title(\"Physical Activity Frequency Distribution\")\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Physical Activity Frequency Distribution (FAF)\n",
+    "\n",
+    "This histogram shows how often individuals engage in physical activity per week.\n",
+    "\n",
+    "- A large number of people have **very low or no physical activity** (FAF close to 0).\n",
+    "- There are smaller peaks around 1.0 and 2.0, indicating some regular activity in those ranges.\n",
+    "- Very few people are highly active (close to 3.0), which suggests that low to moderate physical activity is more common in the dataset.\n",
+    "\n",
+    "Understanding the distribution of physical activity is important since it's a key lifestyle factor and may influence how clusters are formed later.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = df.drop(columns=['NObeyesdad'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2111 entries, 0 to 2110\n",
+      "Data columns (total 16 columns):\n",
+      " #   Column                          Non-Null Count  Dtype  \n",
+      "---  ------                          --------------  -----  \n",
+      " 0   Gender                          2111 non-null   object \n",
+      " 1   Age                             2111 non-null   float64\n",
+      " 2   Height                          2111 non-null   float64\n",
+      " 3   Weight                          2111 non-null   float64\n",
+      " 4   family_history_with_overweight  2111 non-null   object \n",
+      " 5   FAVC                            2111 non-null   object \n",
+      " 6   FCVC                            2111 non-null   float64\n",
+      " 7   NCP                             2111 non-null   float64\n",
+      " 8   CAEC                            2111 non-null   object \n",
+      " 9   SMOKE                           2111 non-null   object \n",
+      " 10  CH2O                            2111 non-null   float64\n",
+      " 11  SCC                             2111 non-null   object \n",
+      " 12  FAF                             2111 non-null   float64\n",
+      " 13  TUE                             2111 non-null   float64\n",
+      " 14  CALC                            2111 non-null   object \n",
+      " 15  MTRANS                          2111 non-null   object \n",
+      "dtypes: float64(8), object(8)\n",
+      "memory usage: 264.0+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "binary_cols = ['FAVC', 'family_history_with_overweight', 'SMOKE', 'SCC']\n",
+    "for col in binary_cols:\n",
+    "    df[col] = df[col].map({'yes': 1, 'no': 0})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 2111 entries, 0 to 2110\n",
+      "Data columns (total 16 columns):\n",
+      " #   Column                          Non-Null Count  Dtype  \n",
+      "---  ------                          --------------  -----  \n",
+      " 0   Gender                          2111 non-null   object \n",
+      " 1   Age                             2111 non-null   float64\n",
+      " 2   Height                          2111 non-null   float64\n",
+      " 3   Weight                          2111 non-null   float64\n",
+      " 4   family_history_with_overweight  2111 non-null   int64  \n",
+      " 5   FAVC                            2111 non-null   int64  \n",
+      " 6   FCVC                            2111 non-null   float64\n",
+      " 7   NCP                             2111 non-null   float64\n",
+      " 8   CAEC                            2111 non-null   object \n",
+      " 9   SMOKE                           2111 non-null   int64  \n",
+      " 10  CH2O                            2111 non-null   float64\n",
+      " 11  SCC                             2111 non-null   int64  \n",
+      " 12  FAF                             2111 non-null   float64\n",
+      " 13  TUE                             2111 non-null   float64\n",
+      " 14  CALC                            2111 non-null   object \n",
+      " 15  MTRANS                          2111 non-null   object \n",
+      "dtypes: float64(8), int64(4), object(4)\n",
+      "memory usage: 264.0+ KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 2️⃣ Ordinal encoding for CAEC, CALC (custom order based on domain)\n",
+    "ordinal_map = {\n",
+    "    'no': 0,\n",
+    "    'Sometimes': 1,\n",
+    "    'Frequently': 2,\n",
+    "    'Always': 3\n",
+    "}\n",
+    "df['CAEC'] = df['CAEC'].map(ordinal_map)\n",
+    "df['CALC'] = df['CALC'].map(ordinal_map)  # assuming same scale"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>family_history_with_overweight</th>\n",
+       "      <th>FAVC</th>\n",
+       "      <th>FCVC</th>\n",
+       "      <th>NCP</th>\n",
+       "      <th>CAEC</th>\n",
+       "      <th>SMOKE</th>\n",
+       "      <th>CH2O</th>\n",
+       "      <th>SCC</th>\n",
+       "      <th>FAF</th>\n",
+       "      <th>TUE</th>\n",
+       "      <th>CALC</th>\n",
+       "      <th>MTRANS</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Female</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Walking</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Male</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>89.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>Public_Transportation</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Gender   Age  Height  Weight  family_history_with_overweight  FAVC  FCVC  \\\n",
+       "0  Female  21.0    1.62    64.0                               1     0   2.0   \n",
+       "1  Female  21.0    1.52    56.0                               1     0   3.0   \n",
+       "2    Male  23.0    1.80    77.0                               1     0   2.0   \n",
+       "3    Male  27.0    1.80    87.0                               0     0   3.0   \n",
+       "4    Male  22.0    1.78    89.8                               0     0   2.0   \n",
+       "\n",
+       "   NCP  CAEC  SMOKE  CH2O  SCC  FAF  TUE  CALC                 MTRANS  \n",
+       "0  3.0     1      0   2.0    0  0.0  1.0     0  Public_Transportation  \n",
+       "1  3.0     1      1   3.0    1  3.0  0.0     1  Public_Transportation  \n",
+       "2  3.0     1      0   2.0    0  2.0  1.0     2  Public_Transportation  \n",
+       "3  3.0     1      0   2.0    0  2.0  0.0     2                Walking  \n",
+       "4  1.0     1      0   2.0    0  0.0  0.0     1  Public_Transportation  "
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 3️⃣ Binary Gender → map to 0/1\n",
+    "df['Gender'] = df['Gender'].map({'Male': 0, 'Female': 1})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# 4️⃣ One-hot encode MTRANS (multi-class nominal)\n",
+    "df = pd.get_dummies(df, columns=['MTRANS'], drop_first=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>family_history_with_overweight</th>\n",
+       "      <th>FAVC</th>\n",
+       "      <th>FCVC</th>\n",
+       "      <th>NCP</th>\n",
+       "      <th>CAEC</th>\n",
+       "      <th>SMOKE</th>\n",
+       "      <th>CH2O</th>\n",
+       "      <th>SCC</th>\n",
+       "      <th>FAF</th>\n",
+       "      <th>TUE</th>\n",
+       "      <th>CALC</th>\n",
+       "      <th>MTRANS_Bike</th>\n",
+       "      <th>MTRANS_Motorbike</th>\n",
+       "      <th>MTRANS_Public_Transportation</th>\n",
+       "      <th>MTRANS_Walking</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.62</td>\n",
+       "      <td>64.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>1.52</td>\n",
+       "      <td>56.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0</td>\n",
+       "      <td>23.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>77.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0</td>\n",
+       "      <td>27.0</td>\n",
+       "      <td>1.80</td>\n",
+       "      <td>87.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>1.78</td>\n",
+       "      <td>89.8</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Gender   Age  Height  Weight  family_history_with_overweight  FAVC  FCVC  \\\n",
+       "0       1  21.0    1.62    64.0                               1     0   2.0   \n",
+       "1       1  21.0    1.52    56.0                               1     0   3.0   \n",
+       "2       0  23.0    1.80    77.0                               1     0   2.0   \n",
+       "3       0  27.0    1.80    87.0                               0     0   3.0   \n",
+       "4       0  22.0    1.78    89.8                               0     0   2.0   \n",
+       "\n",
+       "   NCP  CAEC  SMOKE  CH2O  SCC  FAF  TUE  CALC  MTRANS_Bike  MTRANS_Motorbike  \\\n",
+       "0  3.0     1      0   2.0    0  0.0  1.0     0            0                 0   \n",
+       "1  3.0     1      1   3.0    1  3.0  0.0     1            0                 0   \n",
+       "2  3.0     1      0   2.0    0  2.0  1.0     2            0                 0   \n",
+       "3  3.0     1      0   2.0    0  2.0  0.0     2            0                 0   \n",
+       "4  1.0     1      0   2.0    0  0.0  0.0     1            0                 0   \n",
+       "\n",
+       "   MTRANS_Public_Transportation  MTRANS_Walking  \n",
+       "0                             1               0  \n",
+       "1                             1               0  \n",
+       "2                             1               0  \n",
+       "3                             0               1  \n",
+       "4                             1               0  "
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.preprocessing import StandardScaler\n",
+    "\n",
+    "scaler = StandardScaler()\n",
+    "df_scaled = scaler.fit_transform(df)  # Use this for KMeans or Hierarchical\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Height</th>\n",
+       "      <th>Weight</th>\n",
+       "      <th>family_history_with_overweight</th>\n",
+       "      <th>FAVC</th>\n",
+       "      <th>FCVC</th>\n",
+       "      <th>NCP</th>\n",
+       "      <th>CAEC</th>\n",
+       "      <th>SMOKE</th>\n",
+       "      <th>CH2O</th>\n",
+       "      <th>SCC</th>\n",
+       "      <th>FAF</th>\n",
+       "      <th>TUE</th>\n",
+       "      <th>CALC</th>\n",
+       "      <th>MTRANS_Bike</th>\n",
+       "      <th>MTRANS_Motorbike</th>\n",
+       "      <th>MTRANS_Public_Transportation</th>\n",
+       "      <th>MTRANS_Walking</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.011914</td>\n",
+       "      <td>-0.522124</td>\n",
+       "      <td>-0.875589</td>\n",
+       "      <td>-0.862558</td>\n",
+       "      <td>0.472291</td>\n",
+       "      <td>-2.759769</td>\n",
+       "      <td>-0.785019</td>\n",
+       "      <td>0.404153</td>\n",
+       "      <td>-0.300346</td>\n",
+       "      <td>-0.145900</td>\n",
+       "      <td>-0.013073</td>\n",
+       "      <td>-0.218272</td>\n",
+       "      <td>-1.188039</td>\n",
+       "      <td>0.561997</td>\n",
+       "      <td>-1.419172</td>\n",
+       "      <td>-0.05768</td>\n",
+       "      <td>-0.072375</td>\n",
+       "      <td>0.579721</td>\n",
+       "      <td>-0.165078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.011914</td>\n",
+       "      <td>-0.522124</td>\n",
+       "      <td>-1.947599</td>\n",
+       "      <td>-1.168077</td>\n",
+       "      <td>0.472291</td>\n",
+       "      <td>-2.759769</td>\n",
+       "      <td>1.088342</td>\n",
+       "      <td>0.404153</td>\n",
+       "      <td>-0.300346</td>\n",
+       "      <td>6.853997</td>\n",
+       "      <td>1.618759</td>\n",
+       "      <td>4.581439</td>\n",
+       "      <td>2.339750</td>\n",
+       "      <td>-1.080625</td>\n",
+       "      <td>0.521160</td>\n",
+       "      <td>-0.05768</td>\n",
+       "      <td>-0.072375</td>\n",
+       "      <td>0.579721</td>\n",
+       "      <td>-0.165078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.988227</td>\n",
+       "      <td>-0.206889</td>\n",
+       "      <td>1.054029</td>\n",
+       "      <td>-0.366090</td>\n",
+       "      <td>0.472291</td>\n",
+       "      <td>-2.759769</td>\n",
+       "      <td>-0.785019</td>\n",
+       "      <td>0.404153</td>\n",
+       "      <td>-0.300346</td>\n",
+       "      <td>-0.145900</td>\n",
+       "      <td>-0.013073</td>\n",
+       "      <td>-0.218272</td>\n",
+       "      <td>1.163820</td>\n",
+       "      <td>0.561997</td>\n",
+       "      <td>2.461491</td>\n",
+       "      <td>-0.05768</td>\n",
+       "      <td>-0.072375</td>\n",
+       "      <td>0.579721</td>\n",
+       "      <td>-0.165078</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.988227</td>\n",
+       "      <td>0.423582</td>\n",
+       "      <td>1.054029</td>\n",
+       "      <td>0.015808</td>\n",
+       "      <td>-2.117337</td>\n",
+       "      <td>-2.759769</td>\n",
+       "      <td>1.088342</td>\n",
+       "      <td>0.404153</td>\n",
+       "      <td>-0.300346</td>\n",
+       "      <td>-0.145900</td>\n",
+       "      <td>-0.013073</td>\n",
+       "      <td>-0.218272</td>\n",
+       "      <td>1.163820</td>\n",
+       "      <td>-1.080625</td>\n",
+       "      <td>2.461491</td>\n",
+       "      <td>-0.05768</td>\n",
+       "      <td>-0.072375</td>\n",
+       "      <td>-1.724969</td>\n",
+       "      <td>6.057758</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>-0.988227</td>\n",
+       "      <td>-0.364507</td>\n",
+       "      <td>0.839627</td>\n",
+       "      <td>0.122740</td>\n",
+       "      <td>-2.117337</td>\n",
+       "      <td>-2.759769</td>\n",
+       "      <td>-0.785019</td>\n",
+       "      <td>-2.167023</td>\n",
+       "      <td>-0.300346</td>\n",
+       "      <td>-0.145900</td>\n",
+       "      <td>-0.013073</td>\n",
+       "      <td>-0.218272</td>\n",
+       "      <td>-1.188039</td>\n",
+       "      <td>-1.080625</td>\n",
+       "      <td>0.521160</td>\n",
+       "      <td>-0.05768</td>\n",
+       "      <td>-0.072375</td>\n",
+       "      <td>0.579721</td>\n",
+       "      <td>-0.165078</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Gender       Age    Height    Weight  family_history_with_overweight  \\\n",
+       "0  1.011914 -0.522124 -0.875589 -0.862558                        0.472291   \n",
+       "1  1.011914 -0.522124 -1.947599 -1.168077                        0.472291   \n",
+       "2 -0.988227 -0.206889  1.054029 -0.366090                        0.472291   \n",
+       "3 -0.988227  0.423582  1.054029  0.015808                       -2.117337   \n",
+       "4 -0.988227 -0.364507  0.839627  0.122740                       -2.117337   \n",
+       "\n",
+       "       FAVC      FCVC       NCP      CAEC     SMOKE      CH2O       SCC  \\\n",
+       "0 -2.759769 -0.785019  0.404153 -0.300346 -0.145900 -0.013073 -0.218272   \n",
+       "1 -2.759769  1.088342  0.404153 -0.300346  6.853997  1.618759  4.581439   \n",
+       "2 -2.759769 -0.785019  0.404153 -0.300346 -0.145900 -0.013073 -0.218272   \n",
+       "3 -2.759769  1.088342  0.404153 -0.300346 -0.145900 -0.013073 -0.218272   \n",
+       "4 -2.759769 -0.785019 -2.167023 -0.300346 -0.145900 -0.013073 -0.218272   \n",
+       "\n",
+       "        FAF       TUE      CALC  MTRANS_Bike  MTRANS_Motorbike  \\\n",
+       "0 -1.188039  0.561997 -1.419172     -0.05768         -0.072375   \n",
+       "1  2.339750 -1.080625  0.521160     -0.05768         -0.072375   \n",
+       "2  1.163820  0.561997  2.461491     -0.05768         -0.072375   \n",
+       "3  1.163820 -1.080625  2.461491     -0.05768         -0.072375   \n",
+       "4 -1.188039 -1.080625  0.521160     -0.05768         -0.072375   \n",
+       "\n",
+       "   MTRANS_Public_Transportation  MTRANS_Walking  \n",
+       "0                      0.579721       -0.165078  \n",
+       "1                      0.579721       -0.165078  \n",
+       "2                      0.579721       -0.165078  \n",
+       "3                     -1.724969        6.057758  \n",
+       "4                      0.579721       -0.165078  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Assuming `df_encoded` is your pre-scaled DataFrame (the one you passed to StandardScaler)\n",
+    "df_scaled = pd.DataFrame(df_scaled, columns=df.columns)\n",
+    "df_scaled.head()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 🧾 Final Summary\n",
+    "\n",
+    "In this notebook, we explored and prepared a health and lifestyle dataset for clustering.\n",
+    "\n",
+    "### 🔍 Exploratory Data Analysis (EDA)\n",
+    "- We looked at the distribution of numeric features like **Age**, **Weight**, **Physical Activity (FAF)**, and **Water Intake (CH2O)** using histograms and KDE plots.\n",
+    "- Categorical variables such as **Smoking**, **Alcohol Consumption (CALC)**, **Food Habits (FAVC)**, and **Transportation (MTRANS)** were visualized using bar plots.\n",
+    "- A correlation heatmap was used to check relationships between numeric features. No strong correlations were found, so we kept all features.\n",
+    "\n",
+    "### 🧼 Preprocessing\n",
+    "- The target variable `NObeyesdad` was removed since clustering is unsupervised and doesn't use labels.\n",
+    "- Categorical features were encoded using label encoding or one-hot encoding.\n",
+    "- All numeric features were standardized using `StandardScaler` to prepare the data for clustering.\n",
+    "\n",
+    "The dataset is now clean, encoded, and scaled — ready for clustering in the next step.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}