diff --git a/notebooks/induction logic programming (ILP)/aleph_preprocessing_ishwari.ipynb b/notebooks/induction logic programming (ILP)/aleph_preprocessing_ishwari.ipynb
index d0789ee458c93ed16394d494cd52f1203a70925b..857cd136c287a2e66ecb90e0314279ff1a51be7a 100644
--- a/notebooks/induction logic programming (ILP)/aleph_preprocessing_ishwari.ipynb	
+++ b/notebooks/induction logic programming (ILP)/aleph_preprocessing_ishwari.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 229,
+   "execution_count": 17,
    "id": "5ce379e5",
    "metadata": {},
    "outputs": [
@@ -162,7 +162,7 @@
        "4             0             0              40           Cuba  <=50K  "
       ]
      },
-     "execution_count": 229,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -174,6 +174,45 @@
     "df.head()\n"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "ebc33264",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 48842 entries, 0 to 48841\n",
+      "Data columns (total 15 columns):\n",
+      " #   Column          Non-Null Count  Dtype \n",
+      "---  ------          --------------  ----- \n",
+      " 0   age             48842 non-null  int64 \n",
+      " 1   workclass       47879 non-null  object\n",
+      " 2   fnlwgt          48842 non-null  int64 \n",
+      " 3   education       48842 non-null  object\n",
+      " 4   education-num   48842 non-null  int64 \n",
+      " 5   marital-status  48842 non-null  object\n",
+      " 6   occupation      47876 non-null  object\n",
+      " 7   relationship    48842 non-null  object\n",
+      " 8   race            48842 non-null  object\n",
+      " 9   sex             48842 non-null  object\n",
+      " 10  capital-gain    48842 non-null  int64 \n",
+      " 11  capital-loss    48842 non-null  int64 \n",
+      " 12  hours-per-week  48842 non-null  int64 \n",
+      " 13  native-country  48568 non-null  object\n",
+      " 14  Income          48842 non-null  object\n",
+      "dtypes: int64(6), object(9)\n",
+      "memory usage: 5.6+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "df.info()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d38ce2f8",
@@ -189,7 +228,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 230,
+   "execution_count": 19,
    "id": "0c0ed369",
    "metadata": {},
    "outputs": [],
@@ -199,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 231,
+   "execution_count": 20,
    "id": "2f6717e5",
    "metadata": {},
    "outputs": [
@@ -238,7 +277,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 232,
+   "execution_count": 21,
    "id": "f5c9a812",
    "metadata": {},
    "outputs": [
@@ -367,7 +406,7 @@
        "4           wife  black  female              40           cuba  <=50k  "
       ]
      },
-     "execution_count": 232,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -397,7 +436,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 233,
+   "execution_count": 22,
    "id": "656aac7c",
    "metadata": {},
    "outputs": [
@@ -412,7 +451,7 @@
        "Name: income, dtype: object"
       ]
      },
-     "execution_count": 233,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -439,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 234,
+   "execution_count": 23,
    "id": "1fb851cd",
    "metadata": {},
    "outputs": [
@@ -568,7 +607,7 @@
        "4           wife  black  female        average           cuba  less_equal_50k  "
       ]
      },
-     "execution_count": 234,
+     "execution_count": 23,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -614,7 +653,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 235,
+   "execution_count": 24,
    "id": "4a920d83",
    "metadata": {},
    "outputs": [
@@ -640,7 +679,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 236,
+   "execution_count": 25,
    "id": "05ecbbcb",
    "metadata": {},
    "outputs": [],
@@ -651,7 +690,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 237,
+   "execution_count": 26,
    "id": "eb25b6e3",
    "metadata": {},
    "outputs": [],
@@ -701,7 +740,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 238,
+   "execution_count": 27,
    "id": "e9d91ea8",
    "metadata": {},
    "outputs": [
@@ -713,7 +752,7 @@
        "Name: income, dtype: int64"
       ]
      },
-     "execution_count": 238,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -744,7 +783,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 239,
+   "execution_count": 28,
    "id": "972750dc",
    "metadata": {},
    "outputs": [
@@ -792,7 +831,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 240,
+   "execution_count": 29,
    "id": "1984d074",
    "metadata": {},
    "outputs": [
@@ -862,7 +901,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 241,
+   "execution_count": 30,
    "id": "8976173c",
    "metadata": {},
    "outputs": [
@@ -912,7 +951,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 242,
+   "execution_count": 31,
    "id": "10296bac",
    "metadata": {},
    "outputs": [],