From 99bb6baaa8ef16ed305f3a7ec8905db8925d65f3 Mon Sep 17 00:00:00 2001
From: Natalia Szymczyk <natalia.szymczyk@allegro.pl>
Date: Fri, 21 Apr 2023 10:34:30 +0200
Subject: [PATCH] python scripts

---
 lab_02.ipynb | 2145 ++++++++++++++++++++++++++++++++++++++++++++++++++
 main.py      |   22 +
 2 files changed, 2167 insertions(+)
 create mode 100644 lab_02.ipynb
 create mode 100644 main.py

diff --git a/lab_02.ipynb b/lab_02.ipynb
new file mode 100644
index 0000000..8846e79
--- /dev/null
+++ b/lab_02.ipynb
@@ -0,0 +1,2145 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import MinMaxScaler\n",
+    "from collections import Counter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Found cached dataset liver (/Users/natalia.szymczyk/.cache/huggingface/datasets/mstz___liver/liver/1.0.0/3115a4001e742dc2c89457a3906d35982a649915f71f35fc5e6d025c786eeacf)\n",
+      "100%|██████████| 1/1 [00:00<00:00, 684.45it/s]\n"
+     ]
+    }
+   ],
+   "source": [
+    "from datasets import load_dataset\n",
+    "\n",
+    "dataset = load_dataset(\"mstz/liver\")['train']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Dataset({\n",
+       "    features: ['age', 'is_male', 'total_bilirubin', 'direct_ribilubin', 'alkaline_phosphotase', 'alamine_aminotransferasi', 'aspartate_aminotransferase', 'total_proteins', 'albumin', 'albumin_to_globulin_ratio', 'class'],\n",
+       "    num_rows: 583\n",
+       "})"
+      ]
+     },
+     "execution_count": 35,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dataset = dataset.to_pandas()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train, test = train_test_split(dataset, test_size=0.2, random_state=42)\n",
+    "train, val = train_test_split(train, test_size=0.2, random_state=42)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>36</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>158</td>\n",
+       "      <td>29</td>\n",
+       "      <td>39</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>38</td>\n",
+       "      <td>False</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>1.2</td>\n",
+       "      <td>410</td>\n",
+       "      <td>59</td>\n",
+       "      <td>57</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>534</th>\n",
+       "      <td>39</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.6</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>230</td>\n",
+       "      <td>88</td>\n",
+       "      <td>74</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>21</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>135</td>\n",
+       "      <td>27</td>\n",
+       "      <td>26</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>32</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>176</td>\n",
+       "      <td>39</td>\n",
+       "      <td>28</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>42</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.8</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>630</td>\n",
+       "      <td>25</td>\n",
+       "      <td>47</td>\n",
+       "      <td>6.1</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>75</td>\n",
+       "      <td>True</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>386</td>\n",
+       "      <td>30</td>\n",
+       "      <td>25</td>\n",
+       "      <td>5.5</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>0.48</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>430</th>\n",
+       "      <td>53</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>182</td>\n",
+       "      <td>20</td>\n",
+       "      <td>33</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>475</th>\n",
+       "      <td>38</td>\n",
+       "      <td>True</td>\n",
+       "      <td>2.2</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>310</td>\n",
+       "      <td>119</td>\n",
+       "      <td>42</td>\n",
+       "      <td>7.9</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>425</th>\n",
+       "      <td>58</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.4</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>100</td>\n",
+       "      <td>59</td>\n",
+       "      <td>126</td>\n",
+       "      <td>4.3</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>372 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     age  is_male  total_bilirubin  direct_ribilubin  alkaline_phosphotase  \\\n",
+       "107   36     True              0.8               0.2                   158   \n",
+       "33    38    False              2.6               1.2                   410   \n",
+       "534   39     True              1.6               0.8                   230   \n",
+       "204   21     True              0.7               0.2                   135   \n",
+       "48    32    False              0.6               0.1                   176   \n",
+       "..   ...      ...              ...               ...                   ...   \n",
+       "42    42     True              6.8               3.2                   630   \n",
+       "179   75     True              8.0               4.6                   386   \n",
+       "430   53    False              0.7               0.1                   182   \n",
+       "475   38     True              2.2               1.0                   310   \n",
+       "425   58     True              0.4               0.1                   100   \n",
+       "\n",
+       "     alamine_aminotransferasi  aspartate_aminotransferase  total_proteins  \\\n",
+       "107                        29                          39             6.0   \n",
+       "33                         59                          57             5.6   \n",
+       "534                        88                          74             8.0   \n",
+       "204                        27                          26             6.4   \n",
+       "48                         39                          28             6.0   \n",
+       "..                        ...                         ...             ...   \n",
+       "42                         25                          47             6.1   \n",
+       "179                        30                          25             5.5   \n",
+       "430                        20                          33             4.8   \n",
+       "475                       119                          42             7.9   \n",
+       "425                        59                         126             4.3   \n",
+       "\n",
+       "     albumin  albumin_to_globulin_ratio  class  \n",
+       "107      2.2                       0.50      1  \n",
+       "33       3.0                       0.80      1  \n",
+       "534      4.0                       1.00      1  \n",
+       "204      3.3                       1.00      1  \n",
+       "48       3.0                       1.00      0  \n",
+       "..       ...                        ...    ...  \n",
+       "42       2.3                       0.60      1  \n",
+       "179      1.8                       0.48      0  \n",
+       "430      1.9                       0.60      0  \n",
+       "475      4.1                       1.00      1  \n",
+       "425      2.5                       1.40      0  \n",
+       "\n",
+       "[372 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>582</th>\n",
+       "      <td>38</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>216</td>\n",
+       "      <td>21</td>\n",
+       "      <td>24</td>\n",
+       "      <td>7.3</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.50</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>453</th>\n",
+       "      <td>46</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>224</td>\n",
+       "      <td>40</td>\n",
+       "      <td>23</td>\n",
+       "      <td>7.1</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.70</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>60</td>\n",
+       "      <td>True</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.9</td>\n",
+       "      <td>238</td>\n",
+       "      <td>119</td>\n",
+       "      <td>350</td>\n",
+       "      <td>7.1</td>\n",
+       "      <td>3.3</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>75</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>188</td>\n",
+       "      <td>20</td>\n",
+       "      <td>29</td>\n",
+       "      <td>4.4</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>0.60</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>28</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>177</td>\n",
+       "      <td>36</td>\n",
+       "      <td>29</td>\n",
+       "      <td>6.9</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.40</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>236</th>\n",
+       "      <td>22</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>300</td>\n",
+       "      <td>57</td>\n",
+       "      <td>40</td>\n",
+       "      <td>7.9</td>\n",
+       "      <td>3.8</td>\n",
+       "      <td>0.90</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>487</th>\n",
+       "      <td>32</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>276</td>\n",
+       "      <td>102</td>\n",
+       "      <td>190</td>\n",
+       "      <td>6.0</td>\n",
+       "      <td>2.9</td>\n",
+       "      <td>0.93</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>34</td>\n",
+       "      <td>True</td>\n",
+       "      <td>6.2</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>240</td>\n",
+       "      <td>1680</td>\n",
+       "      <td>850</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>307</th>\n",
+       "      <td>30</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>174</td>\n",
+       "      <td>21</td>\n",
+       "      <td>47</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>2.3</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>512</th>\n",
+       "      <td>56</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>195</td>\n",
+       "      <td>22</td>\n",
+       "      <td>28</td>\n",
+       "      <td>5.8</td>\n",
+       "      <td>2.6</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>94 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     age  is_male  total_bilirubin  direct_ribilubin  alkaline_phosphotase  \\\n",
+       "582   38     True              1.0               0.3                   216   \n",
+       "453   46     True              0.7               0.2                   224   \n",
+       "89    60     True              4.0               1.9                   238   \n",
+       "71    75    False              0.8               0.2                   188   \n",
+       "124   28     True              0.6               0.1                   177   \n",
+       "..   ...      ...              ...               ...                   ...   \n",
+       "236   22     True              0.8               0.2                   300   \n",
+       "487   32     True              0.7               0.2                   276   \n",
+       "27    34     True              6.2               3.0                   240   \n",
+       "307   30     True              0.8               0.2                   174   \n",
+       "512   56     True              1.0               0.3                   195   \n",
+       "\n",
+       "     alamine_aminotransferasi  aspartate_aminotransferase  total_proteins  \\\n",
+       "582                        21                          24             7.3   \n",
+       "453                        40                          23             7.1   \n",
+       "89                        119                         350             7.1   \n",
+       "71                         20                          29             4.4   \n",
+       "124                        36                          29             6.9   \n",
+       "..                        ...                         ...             ...   \n",
+       "236                        57                          40             7.9   \n",
+       "487                       102                         190             6.0   \n",
+       "27                       1680                         850             7.2   \n",
+       "307                        21                          47             4.6   \n",
+       "512                        22                          28             5.8   \n",
+       "\n",
+       "     albumin  albumin_to_globulin_ratio  class  \n",
+       "582      4.4                       1.50      1  \n",
+       "453      3.0                       0.70      0  \n",
+       "89       3.3                       0.80      0  \n",
+       "71       1.8                       0.60      0  \n",
+       "124      4.1                       1.40      1  \n",
+       "..       ...                        ...    ...  \n",
+       "236      3.8                       0.90      1  \n",
+       "487      2.9                       0.93      0  \n",
+       "27       4.0                       1.20      0  \n",
+       "307      2.3                       1.00      0  \n",
+       "512      2.6                       0.80      1  \n",
+       "\n",
+       "[94 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "val"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>355</th>\n",
+       "      <td>19</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.8</td>\n",
+       "      <td>178</td>\n",
+       "      <td>13</td>\n",
+       "      <td>26</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>4.6</td>\n",
+       "      <td>1.30</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>407</th>\n",
+       "      <td>12</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>719</td>\n",
+       "      <td>157</td>\n",
+       "      <td>108</td>\n",
+       "      <td>7.2</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>60</td>\n",
+       "      <td>True</td>\n",
+       "      <td>5.7</td>\n",
+       "      <td>2.8</td>\n",
+       "      <td>214</td>\n",
+       "      <td>412</td>\n",
+       "      <td>850</td>\n",
+       "      <td>7.3</td>\n",
+       "      <td>3.2</td>\n",
+       "      <td>0.78</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>402</th>\n",
+       "      <td>42</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.5</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>162</td>\n",
+       "      <td>155</td>\n",
+       "      <td>108</td>\n",
+       "      <td>8.1</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>0.90</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>268</th>\n",
+       "      <td>40</td>\n",
+       "      <td>True</td>\n",
+       "      <td>14.5</td>\n",
+       "      <td>6.4</td>\n",
+       "      <td>358</td>\n",
+       "      <td>50</td>\n",
+       "      <td>75</td>\n",
+       "      <td>5.7</td>\n",
+       "      <td>2.1</td>\n",
+       "      <td>0.50</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>60</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.9</td>\n",
+       "      <td>0.3</td>\n",
+       "      <td>168</td>\n",
+       "      <td>16</td>\n",
+       "      <td>24</td>\n",
+       "      <td>6.7</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>0.80</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>305</th>\n",
+       "      <td>54</td>\n",
+       "      <td>False</td>\n",
+       "      <td>1.4</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>195</td>\n",
+       "      <td>36</td>\n",
+       "      <td>16</td>\n",
+       "      <td>7.9</td>\n",
+       "      <td>3.7</td>\n",
+       "      <td>0.90</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>47</td>\n",
+       "      <td>False</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>292</td>\n",
+       "      <td>64</td>\n",
+       "      <td>67</td>\n",
+       "      <td>5.6</td>\n",
+       "      <td>1.8</td>\n",
+       "      <td>0.47</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>312</th>\n",
+       "      <td>27</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1.3</td>\n",
+       "      <td>0.6</td>\n",
+       "      <td>106</td>\n",
+       "      <td>25</td>\n",
+       "      <td>54</td>\n",
+       "      <td>8.5</td>\n",
+       "      <td>4.8</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>329</th>\n",
+       "      <td>21</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.7</td>\n",
+       "      <td>0.2</td>\n",
+       "      <td>211</td>\n",
+       "      <td>14</td>\n",
+       "      <td>23</td>\n",
+       "      <td>7.3</td>\n",
+       "      <td>4.1</td>\n",
+       "      <td>1.20</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>117 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     age  is_male  total_bilirubin  direct_ribilubin  alkaline_phosphotase  \\\n",
+       "355   19     True              1.4               0.8                   178   \n",
+       "407   12     True              1.0               0.2                   719   \n",
+       "90    60     True              5.7               2.8                   214   \n",
+       "402   42    False              0.5               0.1                   162   \n",
+       "268   40     True             14.5               6.4                   358   \n",
+       "..   ...      ...              ...               ...                   ...   \n",
+       "516   60     True              0.9               0.3                   168   \n",
+       "305   54    False              1.4               0.7                   195   \n",
+       "167   47    False              3.0               1.5                   292   \n",
+       "312   27     True              1.3               0.6                   106   \n",
+       "329   21     True              0.7               0.2                   211   \n",
+       "\n",
+       "     alamine_aminotransferasi  aspartate_aminotransferase  total_proteins  \\\n",
+       "355                        13                          26             8.0   \n",
+       "407                       157                         108             7.2   \n",
+       "90                        412                         850             7.3   \n",
+       "402                       155                         108             8.1   \n",
+       "268                        50                          75             5.7   \n",
+       "..                        ...                         ...             ...   \n",
+       "516                        16                          24             6.7   \n",
+       "305                        36                          16             7.9   \n",
+       "167                        64                          67             5.6   \n",
+       "312                        25                          54             8.5   \n",
+       "329                        14                          23             7.3   \n",
+       "\n",
+       "     albumin  albumin_to_globulin_ratio  class  \n",
+       "355      4.6                       1.30      1  \n",
+       "407      3.7                       1.00      0  \n",
+       "90       3.2                       0.78      0  \n",
+       "402      4.0                       0.90      0  \n",
+       "268      2.1                       0.50      0  \n",
+       "..       ...                        ...    ...  \n",
+       "516      3.0                       0.80      0  \n",
+       "305      3.7                       0.90      1  \n",
+       "167      1.8                       0.47      0  \n",
+       "312      4.8                        NaN      1  \n",
+       "329      4.1                       1.20      1  \n",
+       "\n",
+       "[117 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "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>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>372.000000</td>\n",
+       "      <td>371.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>44.680108</td>\n",
+       "      <td>3.415860</td>\n",
+       "      <td>1.494355</td>\n",
+       "      <td>286.473118</td>\n",
+       "      <td>72.986559</td>\n",
+       "      <td>110.147849</td>\n",
+       "      <td>6.500269</td>\n",
+       "      <td>3.150806</td>\n",
+       "      <td>0.959515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>16.054568</td>\n",
+       "      <td>6.736683</td>\n",
+       "      <td>2.877245</td>\n",
+       "      <td>242.459927</td>\n",
+       "      <td>147.472734</td>\n",
+       "      <td>306.425153</td>\n",
+       "      <td>1.100049</td>\n",
+       "      <td>0.806994</td>\n",
+       "      <td>0.336514</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>4.000000</td>\n",
+       "      <td>0.400000</td>\n",
+       "      <td>0.100000</td>\n",
+       "      <td>63.000000</td>\n",
+       "      <td>10.000000</td>\n",
+       "      <td>11.000000</td>\n",
+       "      <td>2.700000</td>\n",
+       "      <td>0.900000</td>\n",
+       "      <td>0.300000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>32.000000</td>\n",
+       "      <td>0.800000</td>\n",
+       "      <td>0.200000</td>\n",
+       "      <td>170.000000</td>\n",
+       "      <td>24.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>5.775000</td>\n",
+       "      <td>2.575000</td>\n",
+       "      <td>0.700000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>45.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.300000</td>\n",
+       "      <td>205.500000</td>\n",
+       "      <td>35.000000</td>\n",
+       "      <td>42.000000</td>\n",
+       "      <td>6.600000</td>\n",
+       "      <td>3.100000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>58.000000</td>\n",
+       "      <td>2.625000</td>\n",
+       "      <td>1.300000</td>\n",
+       "      <td>298.000000</td>\n",
+       "      <td>60.000000</td>\n",
+       "      <td>86.250000</td>\n",
+       "      <td>7.200000</td>\n",
+       "      <td>3.800000</td>\n",
+       "      <td>1.100000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>85.000000</td>\n",
+       "      <td>75.000000</td>\n",
+       "      <td>19.700000</td>\n",
+       "      <td>2110.000000</td>\n",
+       "      <td>1350.000000</td>\n",
+       "      <td>4929.000000</td>\n",
+       "      <td>9.600000</td>\n",
+       "      <td>5.500000</td>\n",
+       "      <td>2.800000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              age  total_bilirubin  direct_ribilubin  alkaline_phosphotase  \\\n",
+       "count  372.000000       372.000000        372.000000            372.000000   \n",
+       "mean    44.680108         3.415860          1.494355            286.473118   \n",
+       "std     16.054568         6.736683          2.877245            242.459927   \n",
+       "min      4.000000         0.400000          0.100000             63.000000   \n",
+       "25%     32.000000         0.800000          0.200000            170.000000   \n",
+       "50%     45.000000         1.000000          0.300000            205.500000   \n",
+       "75%     58.000000         2.625000          1.300000            298.000000   \n",
+       "max     85.000000        75.000000         19.700000           2110.000000   \n",
+       "\n",
+       "       alamine_aminotransferasi  aspartate_aminotransferase  total_proteins  \\\n",
+       "count                372.000000                  372.000000      372.000000   \n",
+       "mean                  72.986559                  110.147849        6.500269   \n",
+       "std                  147.472734                  306.425153        1.100049   \n",
+       "min                   10.000000                   11.000000        2.700000   \n",
+       "25%                   24.000000                   25.000000        5.775000   \n",
+       "50%                   35.000000                   42.000000        6.600000   \n",
+       "75%                   60.000000                   86.250000        7.200000   \n",
+       "max                 1350.000000                 4929.000000        9.600000   \n",
+       "\n",
+       "          albumin  albumin_to_globulin_ratio  \n",
+       "count  372.000000                 371.000000  \n",
+       "mean     3.150806                   0.959515  \n",
+       "std      0.806994                   0.336514  \n",
+       "min      0.900000                   0.300000  \n",
+       "25%      2.575000                   0.700000  \n",
+       "50%      3.100000                   1.000000  \n",
+       "75%      3.800000                   1.100000  \n",
+       "max      5.500000                   2.800000  "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "numerical_features = ['age', 'total_bilirubin', 'direct_ribilubin', 'alkaline_phosphotase',\n",
+    "                      'alamine_aminotransferasi', 'aspartate_aminotransferase', 'total_proteins', 'albumin',\n",
+    "                      'albumin_to_globulin_ratio']\n",
+    "train[numerical_features].describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Rozkład częstości dla klas:\n",
+      "1: 30.38%\n",
+      "0: 69.62%\n"
+     ]
+    }
+   ],
+   "source": [
+    "label_counter = Counter(train['class'])\n",
+    "print(\"\\nRozkład częstości dla klas:\")\n",
+    "for label in label_counter.keys():\n",
+    "    print(f\"{label}: {label_counter[label] / len(train) * 100:.2f}%\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scaler = MinMaxScaler()\n",
+    "train[numerical_features] = scaler.fit_transform(train[numerical_features])\n",
+    "test[numerical_features] = scaler.fit_transform(test[numerical_features])\n",
+    "val[numerical_features] = scaler.fit_transform(val[numerical_features])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>0.395062</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.005362</td>\n",
+       "      <td>0.005102</td>\n",
+       "      <td>0.046409</td>\n",
+       "      <td>0.014179</td>\n",
+       "      <td>0.005693</td>\n",
+       "      <td>0.478261</td>\n",
+       "      <td>0.282609</td>\n",
+       "      <td>0.080</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>0.419753</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.029491</td>\n",
+       "      <td>0.056122</td>\n",
+       "      <td>0.169516</td>\n",
+       "      <td>0.036567</td>\n",
+       "      <td>0.009353</td>\n",
+       "      <td>0.420290</td>\n",
+       "      <td>0.456522</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>534</th>\n",
+       "      <td>0.432099</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.016086</td>\n",
+       "      <td>0.035714</td>\n",
+       "      <td>0.081583</td>\n",
+       "      <td>0.058209</td>\n",
+       "      <td>0.012810</td>\n",
+       "      <td>0.768116</td>\n",
+       "      <td>0.673913</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>0.209877</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>0.005102</td>\n",
+       "      <td>0.035173</td>\n",
+       "      <td>0.012687</td>\n",
+       "      <td>0.003050</td>\n",
+       "      <td>0.536232</td>\n",
+       "      <td>0.521739</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>0.345679</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.002681</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.055203</td>\n",
+       "      <td>0.021642</td>\n",
+       "      <td>0.003457</td>\n",
+       "      <td>0.478261</td>\n",
+       "      <td>0.456522</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>0.469136</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.085791</td>\n",
+       "      <td>0.158163</td>\n",
+       "      <td>0.276991</td>\n",
+       "      <td>0.011194</td>\n",
+       "      <td>0.007320</td>\n",
+       "      <td>0.492754</td>\n",
+       "      <td>0.304348</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>0.876543</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.101877</td>\n",
+       "      <td>0.229592</td>\n",
+       "      <td>0.157792</td>\n",
+       "      <td>0.014925</td>\n",
+       "      <td>0.002847</td>\n",
+       "      <td>0.405797</td>\n",
+       "      <td>0.195652</td>\n",
+       "      <td>0.072</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>430</th>\n",
+       "      <td>0.604938</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.058134</td>\n",
+       "      <td>0.007463</td>\n",
+       "      <td>0.004473</td>\n",
+       "      <td>0.304348</td>\n",
+       "      <td>0.217391</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>475</th>\n",
+       "      <td>0.419753</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.024129</td>\n",
+       "      <td>0.045918</td>\n",
+       "      <td>0.120664</td>\n",
+       "      <td>0.081343</td>\n",
+       "      <td>0.006303</td>\n",
+       "      <td>0.753623</td>\n",
+       "      <td>0.695652</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>425</th>\n",
+       "      <td>0.666667</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.018075</td>\n",
+       "      <td>0.036567</td>\n",
+       "      <td>0.023383</td>\n",
+       "      <td>0.231884</td>\n",
+       "      <td>0.347826</td>\n",
+       "      <td>0.440</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>371 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          age  is_male  total_bilirubin  direct_ribilubin  \\\n",
+       "107  0.395062     True         0.005362          0.005102   \n",
+       "33   0.419753    False         0.029491          0.056122   \n",
+       "534  0.432099     True         0.016086          0.035714   \n",
+       "204  0.209877     True         0.004021          0.005102   \n",
+       "48   0.345679    False         0.002681          0.000000   \n",
+       "..        ...      ...              ...               ...   \n",
+       "42   0.469136     True         0.085791          0.158163   \n",
+       "179  0.876543     True         0.101877          0.229592   \n",
+       "430  0.604938    False         0.004021          0.000000   \n",
+       "475  0.419753     True         0.024129          0.045918   \n",
+       "425  0.666667     True         0.000000          0.000000   \n",
+       "\n",
+       "     alkaline_phosphotase  alamine_aminotransferasi  \\\n",
+       "107              0.046409                  0.014179   \n",
+       "33               0.169516                  0.036567   \n",
+       "534              0.081583                  0.058209   \n",
+       "204              0.035173                  0.012687   \n",
+       "48               0.055203                  0.021642   \n",
+       "..                    ...                       ...   \n",
+       "42               0.276991                  0.011194   \n",
+       "179              0.157792                  0.014925   \n",
+       "430              0.058134                  0.007463   \n",
+       "475              0.120664                  0.081343   \n",
+       "425              0.018075                  0.036567   \n",
+       "\n",
+       "     aspartate_aminotransferase  total_proteins   albumin  \\\n",
+       "107                    0.005693        0.478261  0.282609   \n",
+       "33                     0.009353        0.420290  0.456522   \n",
+       "534                    0.012810        0.768116  0.673913   \n",
+       "204                    0.003050        0.536232  0.521739   \n",
+       "48                     0.003457        0.478261  0.456522   \n",
+       "..                          ...             ...       ...   \n",
+       "42                     0.007320        0.492754  0.304348   \n",
+       "179                    0.002847        0.405797  0.195652   \n",
+       "430                    0.004473        0.304348  0.217391   \n",
+       "475                    0.006303        0.753623  0.695652   \n",
+       "425                    0.023383        0.231884  0.347826   \n",
+       "\n",
+       "     albumin_to_globulin_ratio  class  \n",
+       "107                      0.080      1  \n",
+       "33                       0.200      1  \n",
+       "534                      0.280      1  \n",
+       "204                      0.280      1  \n",
+       "48                       0.280      0  \n",
+       "..                         ...    ...  \n",
+       "42                       0.120      1  \n",
+       "179                      0.072      0  \n",
+       "430                      0.120      0  \n",
+       "475                      0.280      1  \n",
+       "425                      0.440      0  \n",
+       "\n",
+       "[371 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 56,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train.dropna(inplace=True)\n",
+    "test.dropna(inplace=True)\n",
+    "val.dropna(inplace=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>0.395062</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.005362</td>\n",
+       "      <td>0.005102</td>\n",
+       "      <td>0.046409</td>\n",
+       "      <td>0.014179</td>\n",
+       "      <td>0.005693</td>\n",
+       "      <td>0.478261</td>\n",
+       "      <td>0.282609</td>\n",
+       "      <td>0.080</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>33</th>\n",
+       "      <td>0.419753</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.029491</td>\n",
+       "      <td>0.056122</td>\n",
+       "      <td>0.169516</td>\n",
+       "      <td>0.036567</td>\n",
+       "      <td>0.009353</td>\n",
+       "      <td>0.420290</td>\n",
+       "      <td>0.456522</td>\n",
+       "      <td>0.200</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>534</th>\n",
+       "      <td>0.432099</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.016086</td>\n",
+       "      <td>0.035714</td>\n",
+       "      <td>0.081583</td>\n",
+       "      <td>0.058209</td>\n",
+       "      <td>0.012810</td>\n",
+       "      <td>0.768116</td>\n",
+       "      <td>0.673913</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>204</th>\n",
+       "      <td>0.209877</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>0.005102</td>\n",
+       "      <td>0.035173</td>\n",
+       "      <td>0.012687</td>\n",
+       "      <td>0.003050</td>\n",
+       "      <td>0.536232</td>\n",
+       "      <td>0.521739</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>48</th>\n",
+       "      <td>0.345679</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.002681</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.055203</td>\n",
+       "      <td>0.021642</td>\n",
+       "      <td>0.003457</td>\n",
+       "      <td>0.478261</td>\n",
+       "      <td>0.456522</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>42</th>\n",
+       "      <td>0.469136</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.085791</td>\n",
+       "      <td>0.158163</td>\n",
+       "      <td>0.276991</td>\n",
+       "      <td>0.011194</td>\n",
+       "      <td>0.007320</td>\n",
+       "      <td>0.492754</td>\n",
+       "      <td>0.304348</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>179</th>\n",
+       "      <td>0.876543</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.101877</td>\n",
+       "      <td>0.229592</td>\n",
+       "      <td>0.157792</td>\n",
+       "      <td>0.014925</td>\n",
+       "      <td>0.002847</td>\n",
+       "      <td>0.405797</td>\n",
+       "      <td>0.195652</td>\n",
+       "      <td>0.072</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>430</th>\n",
+       "      <td>0.604938</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.004021</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.058134</td>\n",
+       "      <td>0.007463</td>\n",
+       "      <td>0.004473</td>\n",
+       "      <td>0.304348</td>\n",
+       "      <td>0.217391</td>\n",
+       "      <td>0.120</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>475</th>\n",
+       "      <td>0.419753</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.024129</td>\n",
+       "      <td>0.045918</td>\n",
+       "      <td>0.120664</td>\n",
+       "      <td>0.081343</td>\n",
+       "      <td>0.006303</td>\n",
+       "      <td>0.753623</td>\n",
+       "      <td>0.695652</td>\n",
+       "      <td>0.280</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>425</th>\n",
+       "      <td>0.666667</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.018075</td>\n",
+       "      <td>0.036567</td>\n",
+       "      <td>0.023383</td>\n",
+       "      <td>0.231884</td>\n",
+       "      <td>0.347826</td>\n",
+       "      <td>0.440</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>371 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          age  is_male  total_bilirubin  direct_ribilubin  \\\n",
+       "107  0.395062     True         0.005362          0.005102   \n",
+       "33   0.419753    False         0.029491          0.056122   \n",
+       "534  0.432099     True         0.016086          0.035714   \n",
+       "204  0.209877     True         0.004021          0.005102   \n",
+       "48   0.345679    False         0.002681          0.000000   \n",
+       "..        ...      ...              ...               ...   \n",
+       "42   0.469136     True         0.085791          0.158163   \n",
+       "179  0.876543     True         0.101877          0.229592   \n",
+       "430  0.604938    False         0.004021          0.000000   \n",
+       "475  0.419753     True         0.024129          0.045918   \n",
+       "425  0.666667     True         0.000000          0.000000   \n",
+       "\n",
+       "     alkaline_phosphotase  alamine_aminotransferasi  \\\n",
+       "107              0.046409                  0.014179   \n",
+       "33               0.169516                  0.036567   \n",
+       "534              0.081583                  0.058209   \n",
+       "204              0.035173                  0.012687   \n",
+       "48               0.055203                  0.021642   \n",
+       "..                    ...                       ...   \n",
+       "42               0.276991                  0.011194   \n",
+       "179              0.157792                  0.014925   \n",
+       "430              0.058134                  0.007463   \n",
+       "475              0.120664                  0.081343   \n",
+       "425              0.018075                  0.036567   \n",
+       "\n",
+       "     aspartate_aminotransferase  total_proteins   albumin  \\\n",
+       "107                    0.005693        0.478261  0.282609   \n",
+       "33                     0.009353        0.420290  0.456522   \n",
+       "534                    0.012810        0.768116  0.673913   \n",
+       "204                    0.003050        0.536232  0.521739   \n",
+       "48                     0.003457        0.478261  0.456522   \n",
+       "..                          ...             ...       ...   \n",
+       "42                     0.007320        0.492754  0.304348   \n",
+       "179                    0.002847        0.405797  0.195652   \n",
+       "430                    0.004473        0.304348  0.217391   \n",
+       "475                    0.006303        0.753623  0.695652   \n",
+       "425                    0.023383        0.231884  0.347826   \n",
+       "\n",
+       "     albumin_to_globulin_ratio  class  \n",
+       "107                      0.080      1  \n",
+       "33                       0.200      1  \n",
+       "534                      0.280      1  \n",
+       "204                      0.280      1  \n",
+       "48                       0.280      0  \n",
+       "..                         ...    ...  \n",
+       "42                       0.120      1  \n",
+       "179                      0.072      0  \n",
+       "430                      0.120      0  \n",
+       "475                      0.280      1  \n",
+       "425                      0.440      0  \n",
+       "\n",
+       "[371 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 59,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>355</th>\n",
+       "      <td>0.174419</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.030000</td>\n",
+       "      <td>0.049645</td>\n",
+       "      <td>0.069831</td>\n",
+       "      <td>0.002567</td>\n",
+       "      <td>0.015385</td>\n",
+       "      <td>0.909091</td>\n",
+       "      <td>0.947368</td>\n",
+       "      <td>0.666667</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>407</th>\n",
+       "      <td>0.093023</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.016667</td>\n",
+       "      <td>0.007092</td>\n",
+       "      <td>0.436610</td>\n",
+       "      <td>0.187420</td>\n",
+       "      <td>0.094231</td>\n",
+       "      <td>0.763636</td>\n",
+       "      <td>0.710526</td>\n",
+       "      <td>0.466667</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>0.651163</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.173333</td>\n",
+       "      <td>0.191489</td>\n",
+       "      <td>0.094237</td>\n",
+       "      <td>0.514763</td>\n",
+       "      <td>0.807692</td>\n",
+       "      <td>0.781818</td>\n",
+       "      <td>0.578947</td>\n",
+       "      <td>0.320000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>402</th>\n",
+       "      <td>0.441860</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.058983</td>\n",
+       "      <td>0.184852</td>\n",
+       "      <td>0.094231</td>\n",
+       "      <td>0.927273</td>\n",
+       "      <td>0.789474</td>\n",
+       "      <td>0.400000</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>268</th>\n",
+       "      <td>0.418605</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.466667</td>\n",
+       "      <td>0.446809</td>\n",
+       "      <td>0.191864</td>\n",
+       "      <td>0.050064</td>\n",
+       "      <td>0.062500</td>\n",
+       "      <td>0.490909</td>\n",
+       "      <td>0.289474</td>\n",
+       "      <td>0.133333</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>109</th>\n",
+       "      <td>0.372093</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.013333</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.278644</td>\n",
+       "      <td>0.017972</td>\n",
+       "      <td>0.023077</td>\n",
+       "      <td>0.527273</td>\n",
+       "      <td>0.473684</td>\n",
+       "      <td>0.400000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>0.651163</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.013333</td>\n",
+       "      <td>0.014184</td>\n",
+       "      <td>0.063051</td>\n",
+       "      <td>0.006418</td>\n",
+       "      <td>0.013462</td>\n",
+       "      <td>0.672727</td>\n",
+       "      <td>0.526316</td>\n",
+       "      <td>0.333333</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>305</th>\n",
+       "      <td>0.581395</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.030000</td>\n",
+       "      <td>0.042553</td>\n",
+       "      <td>0.081356</td>\n",
+       "      <td>0.032092</td>\n",
+       "      <td>0.005769</td>\n",
+       "      <td>0.890909</td>\n",
+       "      <td>0.710526</td>\n",
+       "      <td>0.400000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>167</th>\n",
+       "      <td>0.500000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.083333</td>\n",
+       "      <td>0.099291</td>\n",
+       "      <td>0.147119</td>\n",
+       "      <td>0.068036</td>\n",
+       "      <td>0.054808</td>\n",
+       "      <td>0.472727</td>\n",
+       "      <td>0.210526</td>\n",
+       "      <td>0.113333</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>329</th>\n",
+       "      <td>0.197674</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.006667</td>\n",
+       "      <td>0.007092</td>\n",
+       "      <td>0.092203</td>\n",
+       "      <td>0.003851</td>\n",
+       "      <td>0.012500</td>\n",
+       "      <td>0.781818</td>\n",
+       "      <td>0.815789</td>\n",
+       "      <td>0.600000</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>115 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          age  is_male  total_bilirubin  direct_ribilubin  \\\n",
+       "355  0.174419     True         0.030000          0.049645   \n",
+       "407  0.093023     True         0.016667          0.007092   \n",
+       "90   0.651163     True         0.173333          0.191489   \n",
+       "402  0.441860    False         0.000000          0.000000   \n",
+       "268  0.418605     True         0.466667          0.446809   \n",
+       "..        ...      ...              ...               ...   \n",
+       "109  0.372093     True         0.013333          0.000000   \n",
+       "516  0.651163     True         0.013333          0.014184   \n",
+       "305  0.581395    False         0.030000          0.042553   \n",
+       "167  0.500000    False         0.083333          0.099291   \n",
+       "329  0.197674     True         0.006667          0.007092   \n",
+       "\n",
+       "     alkaline_phosphotase  alamine_aminotransferasi  \\\n",
+       "355              0.069831                  0.002567   \n",
+       "407              0.436610                  0.187420   \n",
+       "90               0.094237                  0.514763   \n",
+       "402              0.058983                  0.184852   \n",
+       "268              0.191864                  0.050064   \n",
+       "..                    ...                       ...   \n",
+       "109              0.278644                  0.017972   \n",
+       "516              0.063051                  0.006418   \n",
+       "305              0.081356                  0.032092   \n",
+       "167              0.147119                  0.068036   \n",
+       "329              0.092203                  0.003851   \n",
+       "\n",
+       "     aspartate_aminotransferase  total_proteins   albumin  \\\n",
+       "355                    0.015385        0.909091  0.947368   \n",
+       "407                    0.094231        0.763636  0.710526   \n",
+       "90                     0.807692        0.781818  0.578947   \n",
+       "402                    0.094231        0.927273  0.789474   \n",
+       "268                    0.062500        0.490909  0.289474   \n",
+       "..                          ...             ...       ...   \n",
+       "109                    0.023077        0.527273  0.473684   \n",
+       "516                    0.013462        0.672727  0.526316   \n",
+       "305                    0.005769        0.890909  0.710526   \n",
+       "167                    0.054808        0.472727  0.210526   \n",
+       "329                    0.012500        0.781818  0.815789   \n",
+       "\n",
+       "     albumin_to_globulin_ratio  class  \n",
+       "355                   0.666667      1  \n",
+       "407                   0.466667      0  \n",
+       "90                    0.320000      0  \n",
+       "402                   0.400000      0  \n",
+       "268                   0.133333      0  \n",
+       "..                         ...    ...  \n",
+       "109                   0.400000      1  \n",
+       "516                   0.333333      0  \n",
+       "305                   0.400000      1  \n",
+       "167                   0.113333      0  \n",
+       "329                   0.600000      1  \n",
+       "\n",
+       "[115 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 60,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "test"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "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>is_male</th>\n",
+       "      <th>total_bilirubin</th>\n",
+       "      <th>direct_ribilubin</th>\n",
+       "      <th>alkaline_phosphotase</th>\n",
+       "      <th>alamine_aminotransferasi</th>\n",
+       "      <th>aspartate_aminotransferase</th>\n",
+       "      <th>total_proteins</th>\n",
+       "      <th>albumin</th>\n",
+       "      <th>albumin_to_globulin_ratio</th>\n",
+       "      <th>class</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>582</th>\n",
+       "      <td>0.403226</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.018100</td>\n",
+       "      <td>0.017094</td>\n",
+       "      <td>0.069175</td>\n",
+       "      <td>0.005528</td>\n",
+       "      <td>0.004090</td>\n",
+       "      <td>0.725490</td>\n",
+       "      <td>0.731707</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>453</th>\n",
+       "      <td>0.532258</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.004525</td>\n",
+       "      <td>0.008547</td>\n",
+       "      <td>0.074029</td>\n",
+       "      <td>0.015075</td>\n",
+       "      <td>0.003749</td>\n",
+       "      <td>0.686275</td>\n",
+       "      <td>0.390244</td>\n",
+       "      <td>0.230769</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>0.758065</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.153846</td>\n",
+       "      <td>0.153846</td>\n",
+       "      <td>0.082524</td>\n",
+       "      <td>0.054774</td>\n",
+       "      <td>0.115201</td>\n",
+       "      <td>0.686275</td>\n",
+       "      <td>0.463415</td>\n",
+       "      <td>0.307692</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>False</td>\n",
+       "      <td>0.009050</td>\n",
+       "      <td>0.008547</td>\n",
+       "      <td>0.052184</td>\n",
+       "      <td>0.005025</td>\n",
+       "      <td>0.005794</td>\n",
+       "      <td>0.156863</td>\n",
+       "      <td>0.097561</td>\n",
+       "      <td>0.153846</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>124</th>\n",
+       "      <td>0.241935</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.045510</td>\n",
+       "      <td>0.013065</td>\n",
+       "      <td>0.005794</td>\n",
+       "      <td>0.647059</td>\n",
+       "      <td>0.658537</td>\n",
+       "      <td>0.769231</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>236</th>\n",
+       "      <td>0.145161</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.009050</td>\n",
+       "      <td>0.008547</td>\n",
+       "      <td>0.120146</td>\n",
+       "      <td>0.023618</td>\n",
+       "      <td>0.009543</td>\n",
+       "      <td>0.843137</td>\n",
+       "      <td>0.585366</td>\n",
+       "      <td>0.384615</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>487</th>\n",
+       "      <td>0.306452</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.004525</td>\n",
+       "      <td>0.008547</td>\n",
+       "      <td>0.105583</td>\n",
+       "      <td>0.046231</td>\n",
+       "      <td>0.060668</td>\n",
+       "      <td>0.470588</td>\n",
+       "      <td>0.365854</td>\n",
+       "      <td>0.407692</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>0.338710</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.253394</td>\n",
+       "      <td>0.247863</td>\n",
+       "      <td>0.083738</td>\n",
+       "      <td>0.839196</td>\n",
+       "      <td>0.285617</td>\n",
+       "      <td>0.705882</td>\n",
+       "      <td>0.634146</td>\n",
+       "      <td>0.615385</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>307</th>\n",
+       "      <td>0.274194</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.009050</td>\n",
+       "      <td>0.008547</td>\n",
+       "      <td>0.043689</td>\n",
+       "      <td>0.005528</td>\n",
+       "      <td>0.011929</td>\n",
+       "      <td>0.196078</td>\n",
+       "      <td>0.219512</td>\n",
+       "      <td>0.461538</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>512</th>\n",
+       "      <td>0.693548</td>\n",
+       "      <td>True</td>\n",
+       "      <td>0.018100</td>\n",
+       "      <td>0.017094</td>\n",
+       "      <td>0.056432</td>\n",
+       "      <td>0.006030</td>\n",
+       "      <td>0.005453</td>\n",
+       "      <td>0.431373</td>\n",
+       "      <td>0.292683</td>\n",
+       "      <td>0.307692</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>93 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          age  is_male  total_bilirubin  direct_ribilubin  \\\n",
+       "582  0.403226     True         0.018100          0.017094   \n",
+       "453  0.532258     True         0.004525          0.008547   \n",
+       "89   0.758065     True         0.153846          0.153846   \n",
+       "71   1.000000    False         0.009050          0.008547   \n",
+       "124  0.241935     True         0.000000          0.000000   \n",
+       "..        ...      ...              ...               ...   \n",
+       "236  0.145161     True         0.009050          0.008547   \n",
+       "487  0.306452     True         0.004525          0.008547   \n",
+       "27   0.338710     True         0.253394          0.247863   \n",
+       "307  0.274194     True         0.009050          0.008547   \n",
+       "512  0.693548     True         0.018100          0.017094   \n",
+       "\n",
+       "     alkaline_phosphotase  alamine_aminotransferasi  \\\n",
+       "582              0.069175                  0.005528   \n",
+       "453              0.074029                  0.015075   \n",
+       "89               0.082524                  0.054774   \n",
+       "71               0.052184                  0.005025   \n",
+       "124              0.045510                  0.013065   \n",
+       "..                    ...                       ...   \n",
+       "236              0.120146                  0.023618   \n",
+       "487              0.105583                  0.046231   \n",
+       "27               0.083738                  0.839196   \n",
+       "307              0.043689                  0.005528   \n",
+       "512              0.056432                  0.006030   \n",
+       "\n",
+       "     aspartate_aminotransferase  total_proteins   albumin  \\\n",
+       "582                    0.004090        0.725490  0.731707   \n",
+       "453                    0.003749        0.686275  0.390244   \n",
+       "89                     0.115201        0.686275  0.463415   \n",
+       "71                     0.005794        0.156863  0.097561   \n",
+       "124                    0.005794        0.647059  0.658537   \n",
+       "..                          ...             ...       ...   \n",
+       "236                    0.009543        0.843137  0.585366   \n",
+       "487                    0.060668        0.470588  0.365854   \n",
+       "27                     0.285617        0.705882  0.634146   \n",
+       "307                    0.011929        0.196078  0.219512   \n",
+       "512                    0.005453        0.431373  0.292683   \n",
+       "\n",
+       "     albumin_to_globulin_ratio  class  \n",
+       "582                   0.846154      1  \n",
+       "453                   0.230769      0  \n",
+       "89                    0.307692      0  \n",
+       "71                    0.153846      0  \n",
+       "124                   0.769231      1  \n",
+       "..                         ...    ...  \n",
+       "236                   0.384615      1  \n",
+       "487                   0.407692      0  \n",
+       "27                    0.615385      0  \n",
+       "307                   0.461538      0  \n",
+       "512                   0.307692      1  \n",
+       "\n",
+       "[93 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "val"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ium",
+   "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": "3.10.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/main.py b/main.py
new file mode 100644
index 0000000..471d4f8
--- /dev/null
+++ b/main.py
@@ -0,0 +1,22 @@
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import MinMaxScaler
+from datasets import load_dataset
+
+dataset = load_dataset("mstz/liver")['train']
+dataset = dataset.to_pandas()
+
+train, test = train_test_split(dataset, test_size=0.2, random_state=42)
+train, val = train_test_split(train, test_size=0.2, random_state=42)
+
+numerical_features = ['age', 'total_bilirubin', 'direct_ribilubin', 'alkaline_phosphotase',
+                      'alamine_aminotransferasi', 'aspartate_aminotransferase', 'total_proteins', 'albumin',
+                      'albumin_to_globulin_ratio']
+
+scaler = MinMaxScaler()
+train[numerical_features] = scaler.fit_transform(train[numerical_features])
+test[numerical_features] = scaler.fit_transform(test[numerical_features])
+val[numerical_features] = scaler.fit_transform(val[numerical_features])
+
+train.dropna(inplace=True)
+test.dropna(inplace=True)
+val.dropna(inplace=True)