diff --git a/CHANGELOG.md b/CHANGELOG.md
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@@ -0,0 +1,14 @@
+# Changelog
+
+All notable changes to this project will be documented in this file.
+
+The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
+and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
+
+
+## Unreleased
+
+
+### Added
+
+* Initial implementation .(#1)
diff --git a/Klasyfikacja.ipynb b/Klasyfikacja.ipynb
new file mode 100644
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+++ b/Klasyfikacja.ipynb
@@ -0,0 +1,3496 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6a9014c5-ed92-457e-bd70-fad1187a7bea",
+   "metadata": {},
+   "source": [
+    "# Przykład klasyfikacji na podstawie zbioru danych Breast Cancer Wisconsin"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "id": "695a9298-61ae-4d8f-ad96-31286916273b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import keras\n",
+    "import matplotlib\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import sklearn.datasets\n",
+    "import sklearn.decomposition\n",
+    "import sklearn.ensemble\n",
+    "import sklearn.model_selection\n",
+    "import sklearn.naive_bayes\n",
+    "import sklearn.neighbors\n",
+    "import sklearn.tree \n",
+    "import tensorflow as tf\n",
+    "\n",
+    "import collections\n",
+    "import typing\n",
+    "\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "03725a16-020b-47d9-9bf2-8e719c0a20a6",
+   "metadata": {},
+   "source": [
+    "## Cel projektu"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11f39bfb-82e9-4e33-bc12-36d00d1909d4",
+   "metadata": {},
+   "source": [
+    "Celem projektu była analiza danych medycznych określająca typ nowotworu na podstawie wartości wyodrębnionych parametrów. \n",
+    "Wartości parametrów są cechami jąder komórkowych, znajdujących się na zdjęciach cyfrowych pochodzących z biopsji FNA guza piersi.\n",
+    "Analiza była przeprowadzona w takich etapach jak: Przygotowanie danych, Wybór cech i Klasyfikacja. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "99a98968-7e44-4c4c-887d-7992658f7f03",
+   "metadata": {},
+   "source": [
+    "## Opis danych"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eecc314f-4cf0-4d9c-a3cd-f583c66fad82",
+   "metadata": {},
+   "source": [
+    "Dane pochodzą z „Breast Cancer Wisconsin (Diagnostic)”. Dostęp do nich można uzyskać za pomocą biblioteki Scikit-learn wykorzystywanej przez język Python \n",
+    "lub korzystając z bazy danych UCL Machine Learning Repository (link https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29). \n",
+    "W bazie tej jest 569 rekordów, 30 atrybutów oraz dodatkowo informacje o ID pacjenta i przypisanej etykiecie dla każdej z próbek określającej typ nowotworu."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1fbbc991-efbf-445d-b971-328ac459fe39",
+   "metadata": {},
+   "source": [
+    "## Etap I: Przygotowanie danych \n",
+    "W etapie przygotowania danych dokonano ich przeglądu za pomocą poleceń z bibliotek Scikit-learn i Pandas. Sprawdzono również, czy należy poddać je modyfikacją. "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "90c4b605-e3ae-4792-845d-5c9a437087f8",
+   "metadata": {},
+   "source": [
+    "### Załadowaie danych i przedstawienie ich za pomocą biblioteki Pandas"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 135,
+   "id": "71c0294a-ba78-467e-b1bb-60db8d9eb8de",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data = sklearn.datasets.load_breast_cancer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 136,
+   "id": "8b8e49e7-9111-4753-81f7-5e8387d00723",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def sklearn_to_dataframe(sklearn_dataset:pd.core.frame.DataFrame) -> pd.core.frame.DataFrame:\n",
+    "    dataframe: pd.core.frame.DataFrame = pd.DataFrame(sklearn_dataset.data, columns=sklearn_dataset.feature_names)\n",
+    "    dataframe['target']: pd.core.series.Series = pd.Series(sklearn_dataset.target)\n",
+    "    return dataframe\n",
+    "\n",
+    "dataframe_breast_cancer = sklearn_to_dataframe(data)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69afd5a8-e320-48f9-8c70-8171f1ca0762",
+   "metadata": {},
+   "source": [
+    "### Sprawdzenie podstawowych informacji o dostępnych danych (przykładowo format etykiet)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 137,
+   "id": "97fd5f9d-85b8-4531-aaf3-6c127d34cd20",
+   "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>mean radius</th>\n",
+       "      <th>mean texture</th>\n",
+       "      <th>mean perimeter</th>\n",
+       "      <th>mean area</th>\n",
+       "      <th>mean smoothness</th>\n",
+       "      <th>mean compactness</th>\n",
+       "      <th>mean concavity</th>\n",
+       "      <th>mean concave points</th>\n",
+       "      <th>mean symmetry</th>\n",
+       "      <th>mean fractal dimension</th>\n",
+       "      <th>...</th>\n",
+       "      <th>worst texture</th>\n",
+       "      <th>worst perimeter</th>\n",
+       "      <th>worst area</th>\n",
+       "      <th>worst smoothness</th>\n",
+       "      <th>worst compactness</th>\n",
+       "      <th>worst concavity</th>\n",
+       "      <th>worst concave points</th>\n",
+       "      <th>worst symmetry</th>\n",
+       "      <th>worst fractal dimension</th>\n",
+       "      <th>target</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>17.99</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>122.80</td>\n",
+       "      <td>1001.0</td>\n",
+       "      <td>0.11840</td>\n",
+       "      <td>0.27760</td>\n",
+       "      <td>0.3001</td>\n",
+       "      <td>0.14710</td>\n",
+       "      <td>0.2419</td>\n",
+       "      <td>0.07871</td>\n",
+       "      <td>...</td>\n",
+       "      <td>17.33</td>\n",
+       "      <td>184.60</td>\n",
+       "      <td>2019.0</td>\n",
+       "      <td>0.1622</td>\n",
+       "      <td>0.6656</td>\n",
+       "      <td>0.7119</td>\n",
+       "      <td>0.2654</td>\n",
+       "      <td>0.4601</td>\n",
+       "      <td>0.11890</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20.57</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>132.90</td>\n",
+       "      <td>1326.0</td>\n",
+       "      <td>0.08474</td>\n",
+       "      <td>0.07864</td>\n",
+       "      <td>0.0869</td>\n",
+       "      <td>0.07017</td>\n",
+       "      <td>0.1812</td>\n",
+       "      <td>0.05667</td>\n",
+       "      <td>...</td>\n",
+       "      <td>23.41</td>\n",
+       "      <td>158.80</td>\n",
+       "      <td>1956.0</td>\n",
+       "      <td>0.1238</td>\n",
+       "      <td>0.1866</td>\n",
+       "      <td>0.2416</td>\n",
+       "      <td>0.1860</td>\n",
+       "      <td>0.2750</td>\n",
+       "      <td>0.08902</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>19.69</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>130.00</td>\n",
+       "      <td>1203.0</td>\n",
+       "      <td>0.10960</td>\n",
+       "      <td>0.15990</td>\n",
+       "      <td>0.1974</td>\n",
+       "      <td>0.12790</td>\n",
+       "      <td>0.2069</td>\n",
+       "      <td>0.05999</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25.53</td>\n",
+       "      <td>152.50</td>\n",
+       "      <td>1709.0</td>\n",
+       "      <td>0.1444</td>\n",
+       "      <td>0.4245</td>\n",
+       "      <td>0.4504</td>\n",
+       "      <td>0.2430</td>\n",
+       "      <td>0.3613</td>\n",
+       "      <td>0.08758</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>11.42</td>\n",
+       "      <td>20.38</td>\n",
+       "      <td>77.58</td>\n",
+       "      <td>386.1</td>\n",
+       "      <td>0.14250</td>\n",
+       "      <td>0.28390</td>\n",
+       "      <td>0.2414</td>\n",
+       "      <td>0.10520</td>\n",
+       "      <td>0.2597</td>\n",
+       "      <td>0.09744</td>\n",
+       "      <td>...</td>\n",
+       "      <td>26.50</td>\n",
+       "      <td>98.87</td>\n",
+       "      <td>567.7</td>\n",
+       "      <td>0.2098</td>\n",
+       "      <td>0.8663</td>\n",
+       "      <td>0.6869</td>\n",
+       "      <td>0.2575</td>\n",
+       "      <td>0.6638</td>\n",
+       "      <td>0.17300</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20.29</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>135.10</td>\n",
+       "      <td>1297.0</td>\n",
+       "      <td>0.10030</td>\n",
+       "      <td>0.13280</td>\n",
+       "      <td>0.1980</td>\n",
+       "      <td>0.10430</td>\n",
+       "      <td>0.1809</td>\n",
+       "      <td>0.05883</td>\n",
+       "      <td>...</td>\n",
+       "      <td>16.67</td>\n",
+       "      <td>152.20</td>\n",
+       "      <td>1575.0</td>\n",
+       "      <td>0.1374</td>\n",
+       "      <td>0.2050</td>\n",
+       "      <td>0.4000</td>\n",
+       "      <td>0.1625</td>\n",
+       "      <td>0.2364</td>\n",
+       "      <td>0.07678</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   mean radius  mean texture  mean perimeter  mean area  mean smoothness  \\\n",
+       "0        17.99         10.38          122.80     1001.0          0.11840   \n",
+       "1        20.57         17.77          132.90     1326.0          0.08474   \n",
+       "2        19.69         21.25          130.00     1203.0          0.10960   \n",
+       "3        11.42         20.38           77.58      386.1          0.14250   \n",
+       "4        20.29         14.34          135.10     1297.0          0.10030   \n",
+       "\n",
+       "   mean compactness  mean concavity  mean concave points  mean symmetry  \\\n",
+       "0           0.27760          0.3001              0.14710         0.2419   \n",
+       "1           0.07864          0.0869              0.07017         0.1812   \n",
+       "2           0.15990          0.1974              0.12790         0.2069   \n",
+       "3           0.28390          0.2414              0.10520         0.2597   \n",
+       "4           0.13280          0.1980              0.10430         0.1809   \n",
+       "\n",
+       "   mean fractal dimension  ...  worst texture  worst perimeter  worst area  \\\n",
+       "0                 0.07871  ...          17.33           184.60      2019.0   \n",
+       "1                 0.05667  ...          23.41           158.80      1956.0   \n",
+       "2                 0.05999  ...          25.53           152.50      1709.0   \n",
+       "3                 0.09744  ...          26.50            98.87       567.7   \n",
+       "4                 0.05883  ...          16.67           152.20      1575.0   \n",
+       "\n",
+       "   worst smoothness  worst compactness  worst concavity  worst concave points  \\\n",
+       "0            0.1622             0.6656           0.7119                0.2654   \n",
+       "1            0.1238             0.1866           0.2416                0.1860   \n",
+       "2            0.1444             0.4245           0.4504                0.2430   \n",
+       "3            0.2098             0.8663           0.6869                0.2575   \n",
+       "4            0.1374             0.2050           0.4000                0.1625   \n",
+       "\n",
+       "   worst symmetry  worst fractal dimension  target  \n",
+       "0          0.4601                  0.11890       0  \n",
+       "1          0.2750                  0.08902       0  \n",
+       "2          0.3613                  0.08758       0  \n",
+       "3          0.6638                  0.17300       0  \n",
+       "4          0.2364                  0.07678       0  \n",
+       "\n",
+       "[5 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 137,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataframe_breast_cancer.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 138,
+   "id": "cb770869-0b04-40cb-be2f-9dcbd641cb37",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "RangeIndex: 569 entries, 0 to 568\n",
+      "Data columns (total 31 columns):\n",
+      " #   Column                   Non-Null Count  Dtype  \n",
+      "---  ------                   --------------  -----  \n",
+      " 0   mean radius              569 non-null    float64\n",
+      " 1   mean texture             569 non-null    float64\n",
+      " 2   mean perimeter           569 non-null    float64\n",
+      " 3   mean area                569 non-null    float64\n",
+      " 4   mean smoothness          569 non-null    float64\n",
+      " 5   mean compactness         569 non-null    float64\n",
+      " 6   mean concavity           569 non-null    float64\n",
+      " 7   mean concave points      569 non-null    float64\n",
+      " 8   mean symmetry            569 non-null    float64\n",
+      " 9   mean fractal dimension   569 non-null    float64\n",
+      " 10  radius error             569 non-null    float64\n",
+      " 11  texture error            569 non-null    float64\n",
+      " 12  perimeter error          569 non-null    float64\n",
+      " 13  area error               569 non-null    float64\n",
+      " 14  smoothness error         569 non-null    float64\n",
+      " 15  compactness error        569 non-null    float64\n",
+      " 16  concavity error          569 non-null    float64\n",
+      " 17  concave points error     569 non-null    float64\n",
+      " 18  symmetry error           569 non-null    float64\n",
+      " 19  fractal dimension error  569 non-null    float64\n",
+      " 20  worst radius             569 non-null    float64\n",
+      " 21  worst texture            569 non-null    float64\n",
+      " 22  worst perimeter          569 non-null    float64\n",
+      " 23  worst area               569 non-null    float64\n",
+      " 24  worst smoothness         569 non-null    float64\n",
+      " 25  worst compactness        569 non-null    float64\n",
+      " 26  worst concavity          569 non-null    float64\n",
+      " 27  worst concave points     569 non-null    float64\n",
+      " 28  worst symmetry           569 non-null    float64\n",
+      " 29  worst fractal dimension  569 non-null    float64\n",
+      " 30  target                   569 non-null    int64  \n",
+      "dtypes: float64(30), int64(1)\n",
+      "memory usage: 137.9 KB\n"
+     ]
+    }
+   ],
+   "source": [
+    "dataframe_breast_cancer.info()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d18a0e53-ad70-4df2-aaeb-b4a8924bfb89",
+   "metadata": {},
+   "source": [
+    "### Sprawdzenie liczby przypadkĂłw dla poszczegĂłlnych klas "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 139,
+   "id": "c0cc0511-3d2a-4a5b-ba06-ef5a5d190305",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Benign tumors :  357\n",
+      "Malignant tumors  :  212\n"
+     ]
+    }
+   ],
+   "source": [
+    "print ('Benign tumors : ' , dataframe_breast_cancer.target.value_counts()[1])\n",
+    "print ('Malignant tumors  : ' , dataframe_breast_cancer.target.value_counts()[0])      "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 140,
+   "id": "03f762a1-ef54-4654-9b0e-afc293eaee6d",
+   "metadata": {},
+   "outputs": [
+    {
+     "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": [
+    "bars: typing.Tuple[str] = ('Benign','Malignant')\n",
+    "position_x: np.ndarray = np.arange(len(bars))\n",
+    "plt.bar(position_x, dataframe_breast_cancer.target.value_counts(), color = ['blue','red'])\n",
+    "plt.xticks(position_x, bars, color='black')\n",
+    "plt.ylabel('Number')\n",
+    "plt.xlabel('Diagnosis')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "02ccaf81-72c5-44d7-9183-b64bed7776ba",
+   "metadata": {},
+   "source": [
+    "### Sprawdzenie, czy w analizowanym zbiorze danych nie występują braki"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 141,
+   "id": "45191e23-5a80-4d4e-b188-381f03922617",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "mean radius                0\n",
+       "mean texture               0\n",
+       "mean perimeter             0\n",
+       "mean area                  0\n",
+       "mean smoothness            0\n",
+       "mean compactness           0\n",
+       "mean concavity             0\n",
+       "mean concave points        0\n",
+       "mean symmetry              0\n",
+       "mean fractal dimension     0\n",
+       "radius error               0\n",
+       "texture error              0\n",
+       "perimeter error            0\n",
+       "area error                 0\n",
+       "smoothness error           0\n",
+       "compactness error          0\n",
+       "concavity error            0\n",
+       "concave points error       0\n",
+       "symmetry error             0\n",
+       "fractal dimension error    0\n",
+       "worst radius               0\n",
+       "worst texture              0\n",
+       "worst perimeter            0\n",
+       "worst area                 0\n",
+       "worst smoothness           0\n",
+       "worst compactness          0\n",
+       "worst concavity            0\n",
+       "worst concave points       0\n",
+       "worst symmetry             0\n",
+       "worst fractal dimension    0\n",
+       "target                     0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 141,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dataframe_breast_cancer.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24e5edd8-a67f-42b4-b117-1b4f2c0943aa",
+   "metadata": {},
+   "source": [
+    "## Etap II: WybĂłr cech \n",
+    "Gdy już dane zostały sprawdzone pod względem zawartości oraz odpowiednio przygotowane, można było przejść do etapu redukcji danych. Redukcja powinna być przeprowadzona tak, aby nadal algorytmowi udawało się przyporządkować do danej cechy odpowiednią etykietę. W projekcie przebiegała ona dwuetapowo, poprzez zastosowanie korelacji i metody PCA (analizy składowych głównych)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2a827d3d-5155-42cc-acbc-f4c129a0d4fe",
+   "metadata": {},
+   "source": [
+    "### Stworzenie macierzy korelacji \n",
+    "Na początku została zastosowana metoda korelacji, dzięki której zostały wyznaczone pary cech najsilniej ze sobą powiązane. Jako, że silna korelacja ( >=0.9) wskazuje, że związane tak cechy zawierają zbliżone informacje można w celu redukcji wyeliminować jedną z nich."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 142,
+   "id": "7c9fd05e-9963-4d23-96ef-dc0f33cf5ba2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "feature:typing.List[str] = list(dataframe_breast_cancer.columns[0:len(dataframe_breast_cancer.columns)-1])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 143,
+   "id": "08e23879-4d48-4463-867b-8aec0d956de9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "correlation_data:pd.core.frame.DataFrame = dataframe_breast_cancer[feature].corr()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 144,
+   "id": "6c910918-d280-4d34-8064-b64a61d232ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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\n",
+      "text/plain": [
+       "<Figure size 2160x2160 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(30,30))\n",
+    "sns.heatmap(correlation_data, annot = True, square=True, cmap='coolwarm')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bac91f31-2cda-44a2-a4b1-56f0020ccf46",
+   "metadata": {},
+   "source": [
+    "### Znalezienie mocnych korelacji, których siła jest >=0.9"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 145,
+   "id": "0f145dc8-5948-4ee3-a075-3d6a073fa9c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sorted_value:pd.core.series.Series = correlation_data.unstack().drop_duplicates()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 146,
+   "id": "d902455c-68a8-4773-8cec-1b17c8fb1655",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('mean radius', 'mean perimeter') - 0.9978552814938109\n",
+      "('worst radius', 'worst perimeter') - 0.993707916102949\n",
+      "('mean radius', 'mean area') - 0.9873571700566127\n",
+      "('mean perimeter', 'mean area') - 0.9865068039913907\n",
+      "('worst radius', 'worst area') - 0.9840145644590742\n",
+      "('worst perimeter', 'worst area') - 0.9775780914063871\n",
+      "('radius error', 'perimeter error') - 0.9727936770160764\n",
+      "('mean perimeter', 'worst perimeter') - 0.9703868870426394\n",
+      "('mean radius', 'worst radius') - 0.9695389726112055\n",
+      "('mean perimeter', 'worst radius') - 0.9694763634663146\n",
+      "('mean radius', 'worst perimeter') - 0.9651365139559871\n",
+      "('mean area', 'worst radius') - 0.9627460860470841\n",
+      "('mean area', 'worst area') - 0.9592133256498998\n",
+      "('mean area', 'worst perimeter') - 0.9591195743552645\n",
+      "('radius error', 'area error') - 0.951830112110991\n",
+      "('mean perimeter', 'worst area') - 0.9415498080023068\n",
+      "('mean radius', 'worst area') - 0.9410824595860461\n",
+      "('perimeter error', 'area error') - 0.9376554069544157\n",
+      "('mean concavity', 'mean concave points') - 0.9213910263788588\n",
+      "('mean texture', 'worst texture') - 0.912044588840421\n",
+      "('mean concave points', 'worst concave points') - 0.9101553142985918\n"
+     ]
+    }
+   ],
+   "source": [
+    "s:typing.Dict[typing.Tuple[str],float] = sorted_value.to_dict()\n",
+    "\n",
+    "sorted_tuples:typing.List[typing.Tuple] = sorted(s.items(),reverse=True, key=lambda item: item[1])\n",
+    "\n",
+    "sorted_dictionary:typing.Dict[typing.Tuple[str],float] = {k: v for k, v in sorted_tuples}\n",
+    "\n",
+    "above_90_correlation:typing.Dict = {}\n",
+    "\n",
+    "for key,item in sorted_dictionary.items():\n",
+    "    if sorted_dictionary[key] >=.90 and sorted_dictionary[key]!=1.0:\n",
+    "        above_90_correlation[key]=item\n",
+    "        \n",
+    "for key,value in above_90_correlation.items():\n",
+    "    print('{} - {}'.format(key,value))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "85f5ff67-4319-4f45-aa69-4685b1b2ab08",
+   "metadata": {},
+   "source": [
+    "### Pomniejszenie listy analizowanych atrybutĂłw o cechy mocno skorelowane \n",
+    "Na podstawie promienia można wyznaczyć średnice oraz przybliżoną wartość pola powierzchni, dlatego też w przypadku zestawienia jakiegokolwiek parametru odnoszącego się do promienia z parametrem odnoszącym się do średnicy czy pola, odrzucone zostały te opisujące średnice i pole. Wobec tego wyeliminiowane zostały takie cechy jak: **'mean perimeter', 'worst perimeter', 'mean area', 'worst area', 'perimeter error',' worst radius', 'area error'**. Poza nimi odrzucone też zostały takie cechy jak: **'mean concave points','worst texture','worst concave points'** z uwagi na byciu pochodnymi cech, z którymi były zestawiane. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 147,
+   "id": "012fa086-dde6-496b-bcef-4e57ff26e3b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['mean radius', 'mean texture', 'mean smoothness', 'mean compactness', 'mean concavity', 'mean symmetry', 'mean fractal dimension', 'radius error', 'texture error', 'smoothness error', 'compactness error', 'concavity error', 'concave points error', 'symmetry error', 'fractal dimension error', 'worst smoothness', 'worst compactness', 'worst concavity', 'worst symmetry', 'worst fractal dimension']\n",
+      "20\n"
+     ]
+    }
+   ],
+   "source": [
+    "reduction_list:typing.List[str] = ['mean perimeter','worst perimeter','mean area','worst area','perimeter error','worst radius','area error','mean concave points','worst texture','worst concave points']\n",
+    "result:typing.List[str] = list((collections.Counter(feature) - collections.Counter(reduction_list)).elements())\n",
+    "print(result)\n",
+    "print(len(result))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "101fdafb-ef07-4241-aa72-9ba099164c38",
+   "metadata": {},
+   "source": [
+    "### Stworzenie nowej macierzy korelacji \n",
+    "Po wyglądzie macierzy widać, że zniknęły z niej w dużej mierze pola z silnymi korelacjami przez co eliminacja cech przebiegła wedle założeń.\n",
+    "Na wskutek redukcji cech silnie skorelowanych liczba ich brana pod uwagę w analizie spadał z 30 do 20. W większości zachowały się te, które co prawda nie tworzą, aż tak silnych korelacji ale nadal jakieś związki pomiędzy nimi istnieją. Ta sytuacja pozwoliła na zastosowanie, wcześniej już wspomnianej, metody PCA."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 148,
+   "id": "0490591c-c24c-47f6-93b6-ea4de2fbc806",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 2160x2160 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "correlation_data_version_2:pd.core.frame.DataFrame = dataframe_breast_cancer[result].corr()\n",
+    "plt.figure(figsize=(30,30))\n",
+    "sns.heatmap(correlation_data_version_2, annot = True, square=True, cmap='coolwarm')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "806dbd4f-d204-472d-a997-5d2786d8d93b",
+   "metadata": {},
+   "source": [
+    "### Standaryzacja danych\n",
+    "PCA jest metodą redukującą ilość zmiennych poprzez wyznaczenie składowych będących kombinacją liniową badanych zmiennych. Przed zastosowaniem metody PCA należało przeprowadzić  standaryzacje, która pozwoliła na sprowadzenie wszystkich danych do jednej skali, tak aby zapobiec dominacji poszczególnych cech pod względem wartości wariancji."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 149,
+   "id": "bb1aeb90-d944-4482-9313-2a8055771688",
+   "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>mean radius</th>\n",
+       "      <th>mean texture</th>\n",
+       "      <th>mean smoothness</th>\n",
+       "      <th>mean compactness</th>\n",
+       "      <th>mean concavity</th>\n",
+       "      <th>mean symmetry</th>\n",
+       "      <th>mean fractal dimension</th>\n",
+       "      <th>radius error</th>\n",
+       "      <th>texture error</th>\n",
+       "      <th>smoothness error</th>\n",
+       "      <th>compactness error</th>\n",
+       "      <th>concavity error</th>\n",
+       "      <th>concave points error</th>\n",
+       "      <th>symmetry error</th>\n",
+       "      <th>fractal dimension error</th>\n",
+       "      <th>worst smoothness</th>\n",
+       "      <th>worst compactness</th>\n",
+       "      <th>worst concavity</th>\n",
+       "      <th>worst symmetry</th>\n",
+       "      <th>worst fractal dimension</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.097064</td>\n",
+       "      <td>-2.073335</td>\n",
+       "      <td>1.568466</td>\n",
+       "      <td>3.283515</td>\n",
+       "      <td>2.652874</td>\n",
+       "      <td>2.217515</td>\n",
+       "      <td>2.255747</td>\n",
+       "      <td>2.489734</td>\n",
+       "      <td>-0.565265</td>\n",
+       "      <td>-0.214002</td>\n",
+       "      <td>1.316862</td>\n",
+       "      <td>0.724026</td>\n",
+       "      <td>0.660820</td>\n",
+       "      <td>1.148757</td>\n",
+       "      <td>0.907083</td>\n",
+       "      <td>1.307686</td>\n",
+       "      <td>2.616665</td>\n",
+       "      <td>2.109526</td>\n",
+       "      <td>2.750622</td>\n",
+       "      <td>1.937015</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.829821</td>\n",
+       "      <td>-0.353632</td>\n",
+       "      <td>-0.826962</td>\n",
+       "      <td>-0.487072</td>\n",
+       "      <td>-0.023846</td>\n",
+       "      <td>0.001392</td>\n",
+       "      <td>-0.868652</td>\n",
+       "      <td>0.499255</td>\n",
+       "      <td>-0.876244</td>\n",
+       "      <td>-0.605351</td>\n",
+       "      <td>-0.692926</td>\n",
+       "      <td>-0.440780</td>\n",
+       "      <td>0.260162</td>\n",
+       "      <td>-0.805450</td>\n",
+       "      <td>-0.099444</td>\n",
+       "      <td>-0.375612</td>\n",
+       "      <td>-0.430444</td>\n",
+       "      <td>-0.146749</td>\n",
+       "      <td>-0.243890</td>\n",
+       "      <td>0.281190</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.579888</td>\n",
+       "      <td>0.456187</td>\n",
+       "      <td>0.942210</td>\n",
+       "      <td>1.052926</td>\n",
+       "      <td>1.363478</td>\n",
+       "      <td>0.939685</td>\n",
+       "      <td>-0.398008</td>\n",
+       "      <td>1.228676</td>\n",
+       "      <td>-0.780083</td>\n",
+       "      <td>-0.297005</td>\n",
+       "      <td>0.814974</td>\n",
+       "      <td>0.213076</td>\n",
+       "      <td>1.424827</td>\n",
+       "      <td>0.237036</td>\n",
+       "      <td>0.293559</td>\n",
+       "      <td>0.527407</td>\n",
+       "      <td>1.082932</td>\n",
+       "      <td>0.854974</td>\n",
+       "      <td>1.152255</td>\n",
+       "      <td>0.201391</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.768909</td>\n",
+       "      <td>0.253732</td>\n",
+       "      <td>3.283553</td>\n",
+       "      <td>3.402909</td>\n",
+       "      <td>1.915897</td>\n",
+       "      <td>2.867383</td>\n",
+       "      <td>4.910919</td>\n",
+       "      <td>0.326373</td>\n",
+       "      <td>-0.110409</td>\n",
+       "      <td>0.689702</td>\n",
+       "      <td>2.744280</td>\n",
+       "      <td>0.819518</td>\n",
+       "      <td>1.115007</td>\n",
+       "      <td>4.732680</td>\n",
+       "      <td>2.047511</td>\n",
+       "      <td>3.394275</td>\n",
+       "      <td>3.893397</td>\n",
+       "      <td>1.989588</td>\n",
+       "      <td>6.046041</td>\n",
+       "      <td>4.935010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.750297</td>\n",
+       "      <td>-1.151816</td>\n",
+       "      <td>0.280372</td>\n",
+       "      <td>0.539340</td>\n",
+       "      <td>1.371011</td>\n",
+       "      <td>-0.009560</td>\n",
+       "      <td>-0.562450</td>\n",
+       "      <td>1.270543</td>\n",
+       "      <td>-0.790244</td>\n",
+       "      <td>1.483067</td>\n",
+       "      <td>-0.048520</td>\n",
+       "      <td>0.828471</td>\n",
+       "      <td>1.144205</td>\n",
+       "      <td>-0.361092</td>\n",
+       "      <td>0.499328</td>\n",
+       "      <td>0.220556</td>\n",
+       "      <td>-0.313395</td>\n",
+       "      <td>0.613179</td>\n",
+       "      <td>-0.868353</td>\n",
+       "      <td>-0.397100</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   mean radius  mean texture  mean smoothness  mean compactness  \\\n",
+       "0     1.097064     -2.073335         1.568466          3.283515   \n",
+       "1     1.829821     -0.353632        -0.826962         -0.487072   \n",
+       "2     1.579888      0.456187         0.942210          1.052926   \n",
+       "3    -0.768909      0.253732         3.283553          3.402909   \n",
+       "4     1.750297     -1.151816         0.280372          0.539340   \n",
+       "\n",
+       "   mean concavity  mean symmetry  mean fractal dimension  radius error  \\\n",
+       "0        2.652874       2.217515                2.255747      2.489734   \n",
+       "1       -0.023846       0.001392               -0.868652      0.499255   \n",
+       "2        1.363478       0.939685               -0.398008      1.228676   \n",
+       "3        1.915897       2.867383                4.910919      0.326373   \n",
+       "4        1.371011      -0.009560               -0.562450      1.270543   \n",
+       "\n",
+       "   texture error  smoothness error  compactness error  concavity error  \\\n",
+       "0      -0.565265         -0.214002           1.316862         0.724026   \n",
+       "1      -0.876244         -0.605351          -0.692926        -0.440780   \n",
+       "2      -0.780083         -0.297005           0.814974         0.213076   \n",
+       "3      -0.110409          0.689702           2.744280         0.819518   \n",
+       "4      -0.790244          1.483067          -0.048520         0.828471   \n",
+       "\n",
+       "   concave points error  symmetry error  fractal dimension error  \\\n",
+       "0              0.660820        1.148757                 0.907083   \n",
+       "1              0.260162       -0.805450                -0.099444   \n",
+       "2              1.424827        0.237036                 0.293559   \n",
+       "3              1.115007        4.732680                 2.047511   \n",
+       "4              1.144205       -0.361092                 0.499328   \n",
+       "\n",
+       "   worst smoothness  worst compactness  worst concavity  worst symmetry  \\\n",
+       "0          1.307686           2.616665         2.109526        2.750622   \n",
+       "1         -0.375612          -0.430444        -0.146749       -0.243890   \n",
+       "2          0.527407           1.082932         0.854974        1.152255   \n",
+       "3          3.394275           3.893397         1.989588        6.046041   \n",
+       "4          0.220556          -0.313395         0.613179       -0.868353   \n",
+       "\n",
+       "   worst fractal dimension  \n",
+       "0                 1.937015  \n",
+       "1                 0.281190  \n",
+       "2                 0.201391  \n",
+       "3                 4.935010  \n",
+       "4                -0.397100  "
+      ]
+     },
+     "execution_count": 149,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X:np.ndarray=dataframe_breast_cancer.loc[:,result].values\n",
+    "standard_scaler:sklearn.preprocessing._data.StandardScaler=sklearn.preprocessing.StandardScaler()\n",
+    "X:np.ndarray=standard_scaler.fit_transform(X) \n",
+    "pd.DataFrame(X,columns=result).head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f7ec696-98f7-43c8-99f0-5422c5a3b4b9",
+   "metadata": {},
+   "source": [
+    "### Przeprowadzenie analizy składowych głównych (PCA)\n",
+    "Jak już wcześniej zostało wspomniane metoda PCA opiera się na wyznaczeniu składowych stworzonych na podstawie badanych zmiennych. Ich liczbę najlepiej wyznaczyć na podstawie informacji ile takich komponentów potrzebnych jest do zachowania maksymalnej wariancji charakteryzującej dane pierwotne. W tym celu stworzono wykres przedstawiający to w sposób graficzny oraz listę pokazująca ile komponentów wyjaśnia dany procent wariancji. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 150,
+   "id": "83e8b1a4-4fdb-41b2-a6f5-7358a75ee4c9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "pca:sklearn.decomposition._pca.PCA=sklearn.decomposition.PCA()\n",
+    "pca.n_components:int=19\n",
+    "pca_data:np.ndarray=pca.fit_transform(X)\n",
+    "percentage_variance_explained:np.ndarray = pca.explained_variance_ratio_\n",
+    "cumulative_variance_explained:np.ndarray = np.cumsum(percentage_variance_explained)\n",
+    "plt.figure(1,figsize=(8,4))\n",
+    "plt.clf()  \n",
+    "plt.plot(cumulative_variance_explained,linewidth=2)  \n",
+    "plt.axis('tight')  \n",
+    "plt.grid() \n",
+    "plt.xlabel('N_components') \n",
+    "plt.ylabel('Cumulative_Variance_explained')  \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76dd4e6a-0898-458d-9e04-c5855abfbea9",
+   "metadata": {},
+   "source": [
+    "### WybĂłr odpowiedniej liczby komponentĂłw \n",
+    "W projekcie za górny pułap określający liczbę cech branych pod uwagę została przyjęta wariancja na poziomie 99%  co odpowiadało liczbie komponentów równej 14. Jako, że dla 14 komponentów wariancja na tym poziomie jest słabo znaznaczona zdecydowano się wybrać o jeden więcej komponent."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 151,
+   "id": "fabdafa0-a778-4b26-977b-3eb301d5d913",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "if n_component = 0, variance=42.610000\n",
+      "if n_component = 1, variance=56.060000\n",
+      "if n_component = 2, variance=67.980000\n",
+      "if n_component = 3, variance=75.570000\n",
+      "if n_component = 4, variance=81.540000\n",
+      "if n_component = 5, variance=87.080000\n",
+      "if n_component = 6, variance=89.560000\n",
+      "if n_component = 7, variance=91.720000\n",
+      "if n_component = 8, variance=93.500000\n",
+      "if n_component = 9, variance=94.880000\n",
+      "if n_component = 10, variance=96.200000\n",
+      "if n_component = 11, variance=97.230000\n",
+      "if n_component = 12, variance=98.130000\n",
+      "if n_component = 13, variance=98.780000\n",
+      "if n_component = 14, variance=99.170000\n",
+      "if n_component = 15, variance=99.440000\n",
+      "if n_component = 16, variance=99.660000\n",
+      "if n_component = 17, variance=99.810000\n",
+      "if n_component = 18, variance=99.930000\n"
+     ]
+    }
+   ],
+   "source": [
+    "exponential_variance_cumulative_summation:pd.core.series.Series=pd.Series(np.round(pca.explained_variance_ratio_.cumsum(),4)*100)  \n",
+    "for index,var in enumerate(exponential_variance_cumulative_summation):  \n",
+    "    print('if n_component = %d, variance=%f' %(index,np.round(var,3)))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 152,
+   "id": "4d34d160-c643-4d04-80e5-2f08449c2fe7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The number of components explaining the variance in 99% 15\n"
+     ]
+    }
+   ],
+   "source": [
+    "pca:sklearn.decomposition._pca.PCA=sklearn.decomposition.PCA(.99) \n",
+    "pca.fit(X)  \n",
+    "print('The number of components explaining the variance in 99%', pca.n_components_)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 153,
+   "id": "93116bbe-ecd3-4d2b-aa55-f45858b7fa64",
+   "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>mean radius</th>\n",
+       "      <th>mean texture</th>\n",
+       "      <th>mean smoothness</th>\n",
+       "      <th>mean compactness</th>\n",
+       "      <th>mean concavity</th>\n",
+       "      <th>mean symmetry</th>\n",
+       "      <th>mean fractal dimension</th>\n",
+       "      <th>radius error</th>\n",
+       "      <th>texture error</th>\n",
+       "      <th>smoothness error</th>\n",
+       "      <th>compactness error</th>\n",
+       "      <th>concavity error</th>\n",
+       "      <th>concave points error</th>\n",
+       "      <th>symmetry error</th>\n",
+       "      <th>fractal dimension error</th>\n",
+       "      <th>worst smoothness</th>\n",
+       "      <th>worst compactness</th>\n",
+       "      <th>worst concavity</th>\n",
+       "      <th>worst symmetry</th>\n",
+       "      <th>worst fractal dimension</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.132038</td>\n",
+       "      <td>0.086542</td>\n",
+       "      <td>0.226589</td>\n",
+       "      <td>0.319549</td>\n",
+       "      <td>0.301093</td>\n",
+       "      <td>0.227708</td>\n",
+       "      <td>0.223447</td>\n",
+       "      <td>0.169612</td>\n",
+       "      <td>0.053612</td>\n",
+       "      <td>0.097416</td>\n",
+       "      <td>0.283931</td>\n",
+       "      <td>0.252462</td>\n",
+       "      <td>0.250535</td>\n",
+       "      <td>0.121787</td>\n",
+       "      <td>0.229605</td>\n",
+       "      <td>0.205938</td>\n",
+       "      <td>0.288112</td>\n",
+       "      <td>0.289155</td>\n",
+       "      <td>0.192610</td>\n",
+       "      <td>0.259331</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.442179</td>\n",
+       "      <td>0.142663</td>\n",
+       "      <td>0.036387</td>\n",
+       "      <td>0.113594</td>\n",
+       "      <td>0.192943</td>\n",
+       "      <td>0.051094</td>\n",
+       "      <td>0.319061</td>\n",
+       "      <td>0.151757</td>\n",
+       "      <td>0.295971</td>\n",
+       "      <td>0.411196</td>\n",
+       "      <td>0.138648</td>\n",
+       "      <td>0.115004</td>\n",
+       "      <td>0.067249</td>\n",
+       "      <td>0.320889</td>\n",
+       "      <td>0.307381</td>\n",
+       "      <td>0.046886</td>\n",
+       "      <td>0.200871</td>\n",
+       "      <td>0.240210</td>\n",
+       "      <td>0.113909</td>\n",
+       "      <td>0.030028</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.278537</td>\n",
+       "      <td>0.244568</td>\n",
+       "      <td>0.223909</td>\n",
+       "      <td>0.019792</td>\n",
+       "      <td>0.142917</td>\n",
+       "      <td>0.131562</td>\n",
+       "      <td>0.256014</td>\n",
+       "      <td>0.357086</td>\n",
+       "      <td>0.306535</td>\n",
+       "      <td>0.090818</td>\n",
+       "      <td>0.153912</td>\n",
+       "      <td>0.211096</td>\n",
+       "      <td>0.280162</td>\n",
+       "      <td>0.117441</td>\n",
+       "      <td>0.103706</td>\n",
+       "      <td>0.340603</td>\n",
+       "      <td>0.137394</td>\n",
+       "      <td>0.017966</td>\n",
+       "      <td>0.290347</td>\n",
+       "      <td>0.297114</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.132658</td>\n",
+       "      <td>0.123849</td>\n",
+       "      <td>0.321011</td>\n",
+       "      <td>0.016477</td>\n",
+       "      <td>0.004629</td>\n",
+       "      <td>0.334050</td>\n",
+       "      <td>0.095508</td>\n",
+       "      <td>0.284678</td>\n",
+       "      <td>0.256732</td>\n",
+       "      <td>0.213738</td>\n",
+       "      <td>0.248447</td>\n",
+       "      <td>0.295628</td>\n",
+       "      <td>0.087455</td>\n",
+       "      <td>0.324513</td>\n",
+       "      <td>0.294152</td>\n",
+       "      <td>0.228615</td>\n",
+       "      <td>0.138728</td>\n",
+       "      <td>0.155351</td>\n",
+       "      <td>0.237006</td>\n",
+       "      <td>0.223505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>0.096692</td>\n",
+       "      <td>0.142693</td>\n",
+       "      <td>0.366540</td>\n",
+       "      <td>0.046448</td>\n",
+       "      <td>0.067359</td>\n",
+       "      <td>0.281698</td>\n",
+       "      <td>0.056004</td>\n",
+       "      <td>0.154360</td>\n",
+       "      <td>0.072811</td>\n",
+       "      <td>0.362314</td>\n",
+       "      <td>0.090168</td>\n",
+       "      <td>0.048818</td>\n",
+       "      <td>0.107543</td>\n",
+       "      <td>0.426562</td>\n",
+       "      <td>0.006747</td>\n",
+       "      <td>0.370373</td>\n",
+       "      <td>0.093490</td>\n",
+       "      <td>0.041231</td>\n",
+       "      <td>0.483565</td>\n",
+       "      <td>0.028657</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>0.123111</td>\n",
+       "      <td>0.722980</td>\n",
+       "      <td>0.065000</td>\n",
+       "      <td>0.020622</td>\n",
+       "      <td>0.062323</td>\n",
+       "      <td>0.170023</td>\n",
+       "      <td>0.064002</td>\n",
+       "      <td>0.167500</td>\n",
+       "      <td>0.439164</td>\n",
+       "      <td>0.034073</td>\n",
+       "      <td>0.025846</td>\n",
+       "      <td>0.118543</td>\n",
+       "      <td>0.200431</td>\n",
+       "      <td>0.210608</td>\n",
+       "      <td>0.021676</td>\n",
+       "      <td>0.151963</td>\n",
+       "      <td>0.142144</td>\n",
+       "      <td>0.070469</td>\n",
+       "      <td>0.057779</td>\n",
+       "      <td>0.217261</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>0.077726</td>\n",
+       "      <td>0.167937</td>\n",
+       "      <td>0.140692</td>\n",
+       "      <td>0.184283</td>\n",
+       "      <td>0.011295</td>\n",
+       "      <td>0.072943</td>\n",
+       "      <td>0.335029</td>\n",
+       "      <td>0.346494</td>\n",
+       "      <td>0.268557</td>\n",
+       "      <td>0.466109</td>\n",
+       "      <td>0.038227</td>\n",
+       "      <td>0.307557</td>\n",
+       "      <td>0.197392</td>\n",
+       "      <td>0.079929</td>\n",
+       "      <td>0.216663</td>\n",
+       "      <td>0.263945</td>\n",
+       "      <td>0.000362</td>\n",
+       "      <td>0.197967</td>\n",
+       "      <td>0.223913</td>\n",
+       "      <td>0.193717</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>0.138456</td>\n",
+       "      <td>0.077671</td>\n",
+       "      <td>0.255318</td>\n",
+       "      <td>0.042221</td>\n",
+       "      <td>0.072101</td>\n",
+       "      <td>0.340408</td>\n",
+       "      <td>0.023635</td>\n",
+       "      <td>0.327327</td>\n",
+       "      <td>0.371173</td>\n",
+       "      <td>0.361082</td>\n",
+       "      <td>0.150788</td>\n",
+       "      <td>0.299980</td>\n",
+       "      <td>0.324619</td>\n",
+       "      <td>0.303887</td>\n",
+       "      <td>0.145336</td>\n",
+       "      <td>0.003610</td>\n",
+       "      <td>0.165176</td>\n",
+       "      <td>0.085745</td>\n",
+       "      <td>0.061774</td>\n",
+       "      <td>0.202148</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>0.031167</td>\n",
+       "      <td>0.361332</td>\n",
+       "      <td>0.124970</td>\n",
+       "      <td>0.059158</td>\n",
+       "      <td>0.128774</td>\n",
+       "      <td>0.572305</td>\n",
+       "      <td>0.054122</td>\n",
+       "      <td>0.147520</td>\n",
+       "      <td>0.395309</td>\n",
+       "      <td>0.127998</td>\n",
+       "      <td>0.015559</td>\n",
+       "      <td>0.045660</td>\n",
+       "      <td>0.123690</td>\n",
+       "      <td>0.373943</td>\n",
+       "      <td>0.251831</td>\n",
+       "      <td>0.083078</td>\n",
+       "      <td>0.165186</td>\n",
+       "      <td>0.229342</td>\n",
+       "      <td>0.000449</td>\n",
+       "      <td>0.015070</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>0.094086</td>\n",
+       "      <td>0.095868</td>\n",
+       "      <td>0.157467</td>\n",
+       "      <td>0.367525</td>\n",
+       "      <td>0.157166</td>\n",
+       "      <td>0.006954</td>\n",
+       "      <td>0.041313</td>\n",
+       "      <td>0.398161</td>\n",
+       "      <td>0.086170</td>\n",
+       "      <td>0.017510</td>\n",
+       "      <td>0.345980</td>\n",
+       "      <td>0.413708</td>\n",
+       "      <td>0.342960</td>\n",
+       "      <td>0.085829</td>\n",
+       "      <td>0.157525</td>\n",
+       "      <td>0.162787</td>\n",
+       "      <td>0.241288</td>\n",
+       "      <td>0.238059</td>\n",
+       "      <td>0.152789</td>\n",
+       "      <td>0.154829</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>0.095350</td>\n",
+       "      <td>0.401928</td>\n",
+       "      <td>0.336503</td>\n",
+       "      <td>0.024933</td>\n",
+       "      <td>0.023523</td>\n",
+       "      <td>0.339435</td>\n",
+       "      <td>0.230440</td>\n",
+       "      <td>0.046740</td>\n",
+       "      <td>0.362848</td>\n",
+       "      <td>0.351731</td>\n",
+       "      <td>0.183211</td>\n",
+       "      <td>0.162481</td>\n",
+       "      <td>0.202770</td>\n",
+       "      <td>0.335674</td>\n",
+       "      <td>0.054560</td>\n",
+       "      <td>0.043096</td>\n",
+       "      <td>0.237587</td>\n",
+       "      <td>0.097831</td>\n",
+       "      <td>0.000923</td>\n",
+       "      <td>0.066804</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>0.000439</td>\n",
+       "      <td>0.121061</td>\n",
+       "      <td>0.059209</td>\n",
+       "      <td>0.249258</td>\n",
+       "      <td>0.385136</td>\n",
+       "      <td>0.183303</td>\n",
+       "      <td>0.238736</td>\n",
+       "      <td>0.219547</td>\n",
+       "      <td>0.173082</td>\n",
+       "      <td>0.169741</td>\n",
+       "      <td>0.034987</td>\n",
+       "      <td>0.156721</td>\n",
+       "      <td>0.510055</td>\n",
+       "      <td>0.093975</td>\n",
+       "      <td>0.177688</td>\n",
+       "      <td>0.274439</td>\n",
+       "      <td>0.095946</td>\n",
+       "      <td>0.146345</td>\n",
+       "      <td>0.308820</td>\n",
+       "      <td>0.214845</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>0.522071</td>\n",
+       "      <td>0.004299</td>\n",
+       "      <td>0.168511</td>\n",
+       "      <td>0.060774</td>\n",
+       "      <td>0.074549</td>\n",
+       "      <td>0.027626</td>\n",
+       "      <td>0.196456</td>\n",
+       "      <td>0.431659</td>\n",
+       "      <td>0.063618</td>\n",
+       "      <td>0.013547</td>\n",
+       "      <td>0.036536</td>\n",
+       "      <td>0.026301</td>\n",
+       "      <td>0.208258</td>\n",
+       "      <td>0.034993</td>\n",
+       "      <td>0.575643</td>\n",
+       "      <td>0.084159</td>\n",
+       "      <td>0.210412</td>\n",
+       "      <td>0.115674</td>\n",
+       "      <td>0.129989</td>\n",
+       "      <td>0.015420</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>0.248342</td>\n",
+       "      <td>0.049037</td>\n",
+       "      <td>0.351863</td>\n",
+       "      <td>0.094268</td>\n",
+       "      <td>0.198453</td>\n",
+       "      <td>0.058850</td>\n",
+       "      <td>0.344272</td>\n",
+       "      <td>0.185533</td>\n",
+       "      <td>0.050374</td>\n",
+       "      <td>0.183006</td>\n",
+       "      <td>0.521024</td>\n",
+       "      <td>0.183544</td>\n",
+       "      <td>0.389807</td>\n",
+       "      <td>0.040689</td>\n",
+       "      <td>0.100242</td>\n",
+       "      <td>0.119233</td>\n",
+       "      <td>0.142934</td>\n",
+       "      <td>0.043463</td>\n",
+       "      <td>0.061477</td>\n",
+       "      <td>0.249565</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>0.055917</td>\n",
+       "      <td>0.028699</td>\n",
+       "      <td>0.256696</td>\n",
+       "      <td>0.292523</td>\n",
+       "      <td>0.056376</td>\n",
+       "      <td>0.215534</td>\n",
+       "      <td>0.352320</td>\n",
+       "      <td>0.045971</td>\n",
+       "      <td>0.088959</td>\n",
+       "      <td>0.038968</td>\n",
+       "      <td>0.203762</td>\n",
+       "      <td>0.142450</td>\n",
+       "      <td>0.085664</td>\n",
+       "      <td>0.276131</td>\n",
+       "      <td>0.064658</td>\n",
+       "      <td>0.209961</td>\n",
+       "      <td>0.135725</td>\n",
+       "      <td>0.335312</td>\n",
+       "      <td>0.410529</td>\n",
+       "      <td>0.407710</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    mean radius  mean texture  mean smoothness  mean compactness  \\\n",
+       "1      0.132038      0.086542         0.226589          0.319549   \n",
+       "2      0.442179      0.142663         0.036387          0.113594   \n",
+       "3      0.278537      0.244568         0.223909          0.019792   \n",
+       "4      0.132658      0.123849         0.321011          0.016477   \n",
+       "5      0.096692      0.142693         0.366540          0.046448   \n",
+       "6      0.123111      0.722980         0.065000          0.020622   \n",
+       "7      0.077726      0.167937         0.140692          0.184283   \n",
+       "8      0.138456      0.077671         0.255318          0.042221   \n",
+       "9      0.031167      0.361332         0.124970          0.059158   \n",
+       "10     0.094086      0.095868         0.157467          0.367525   \n",
+       "11     0.095350      0.401928         0.336503          0.024933   \n",
+       "12     0.000439      0.121061         0.059209          0.249258   \n",
+       "13     0.522071      0.004299         0.168511          0.060774   \n",
+       "14     0.248342      0.049037         0.351863          0.094268   \n",
+       "15     0.055917      0.028699         0.256696          0.292523   \n",
+       "\n",
+       "    mean concavity  mean symmetry  mean fractal dimension  radius error  \\\n",
+       "1         0.301093       0.227708                0.223447      0.169612   \n",
+       "2         0.192943       0.051094                0.319061      0.151757   \n",
+       "3         0.142917       0.131562                0.256014      0.357086   \n",
+       "4         0.004629       0.334050                0.095508      0.284678   \n",
+       "5         0.067359       0.281698                0.056004      0.154360   \n",
+       "6         0.062323       0.170023                0.064002      0.167500   \n",
+       "7         0.011295       0.072943                0.335029      0.346494   \n",
+       "8         0.072101       0.340408                0.023635      0.327327   \n",
+       "9         0.128774       0.572305                0.054122      0.147520   \n",
+       "10        0.157166       0.006954                0.041313      0.398161   \n",
+       "11        0.023523       0.339435                0.230440      0.046740   \n",
+       "12        0.385136       0.183303                0.238736      0.219547   \n",
+       "13        0.074549       0.027626                0.196456      0.431659   \n",
+       "14        0.198453       0.058850                0.344272      0.185533   \n",
+       "15        0.056376       0.215534                0.352320      0.045971   \n",
+       "\n",
+       "    texture error  smoothness error  compactness error  concavity error  \\\n",
+       "1        0.053612          0.097416           0.283931         0.252462   \n",
+       "2        0.295971          0.411196           0.138648         0.115004   \n",
+       "3        0.306535          0.090818           0.153912         0.211096   \n",
+       "4        0.256732          0.213738           0.248447         0.295628   \n",
+       "5        0.072811          0.362314           0.090168         0.048818   \n",
+       "6        0.439164          0.034073           0.025846         0.118543   \n",
+       "7        0.268557          0.466109           0.038227         0.307557   \n",
+       "8        0.371173          0.361082           0.150788         0.299980   \n",
+       "9        0.395309          0.127998           0.015559         0.045660   \n",
+       "10       0.086170          0.017510           0.345980         0.413708   \n",
+       "11       0.362848          0.351731           0.183211         0.162481   \n",
+       "12       0.173082          0.169741           0.034987         0.156721   \n",
+       "13       0.063618          0.013547           0.036536         0.026301   \n",
+       "14       0.050374          0.183006           0.521024         0.183544   \n",
+       "15       0.088959          0.038968           0.203762         0.142450   \n",
+       "\n",
+       "    concave points error  symmetry error  fractal dimension error  \\\n",
+       "1               0.250535        0.121787                 0.229605   \n",
+       "2               0.067249        0.320889                 0.307381   \n",
+       "3               0.280162        0.117441                 0.103706   \n",
+       "4               0.087455        0.324513                 0.294152   \n",
+       "5               0.107543        0.426562                 0.006747   \n",
+       "6               0.200431        0.210608                 0.021676   \n",
+       "7               0.197392        0.079929                 0.216663   \n",
+       "8               0.324619        0.303887                 0.145336   \n",
+       "9               0.123690        0.373943                 0.251831   \n",
+       "10              0.342960        0.085829                 0.157525   \n",
+       "11              0.202770        0.335674                 0.054560   \n",
+       "12              0.510055        0.093975                 0.177688   \n",
+       "13              0.208258        0.034993                 0.575643   \n",
+       "14              0.389807        0.040689                 0.100242   \n",
+       "15              0.085664        0.276131                 0.064658   \n",
+       "\n",
+       "    worst smoothness  worst compactness  worst concavity  worst symmetry  \\\n",
+       "1           0.205938           0.288112         0.289155        0.192610   \n",
+       "2           0.046886           0.200871         0.240210        0.113909   \n",
+       "3           0.340603           0.137394         0.017966        0.290347   \n",
+       "4           0.228615           0.138728         0.155351        0.237006   \n",
+       "5           0.370373           0.093490         0.041231        0.483565   \n",
+       "6           0.151963           0.142144         0.070469        0.057779   \n",
+       "7           0.263945           0.000362         0.197967        0.223913   \n",
+       "8           0.003610           0.165176         0.085745        0.061774   \n",
+       "9           0.083078           0.165186         0.229342        0.000449   \n",
+       "10          0.162787           0.241288         0.238059        0.152789   \n",
+       "11          0.043096           0.237587         0.097831        0.000923   \n",
+       "12          0.274439           0.095946         0.146345        0.308820   \n",
+       "13          0.084159           0.210412         0.115674        0.129989   \n",
+       "14          0.119233           0.142934         0.043463        0.061477   \n",
+       "15          0.209961           0.135725         0.335312        0.410529   \n",
+       "\n",
+       "    worst fractal dimension  \n",
+       "1                  0.259331  \n",
+       "2                  0.030028  \n",
+       "3                  0.297114  \n",
+       "4                  0.223505  \n",
+       "5                  0.028657  \n",
+       "6                  0.217261  \n",
+       "7                  0.193717  \n",
+       "8                  0.202148  \n",
+       "9                  0.015070  \n",
+       "10                 0.154829  \n",
+       "11                 0.066804  \n",
+       "12                 0.214845  \n",
+       "13                 0.015420  \n",
+       "14                 0.249565  \n",
+       "15                 0.407710  "
+      ]
+     },
+     "execution_count": 153,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pca_dataframe:pd.core.frame.DataFrame =pd.DataFrame(abs(pca.components_[:15]), columns=result, index=['1','2','3','4','5','6','7','8','9','10','11','12','13','14','15'])\n",
+    "\n",
+    "pca_dataframe"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "050fff9f-6b7e-4f84-b23e-d31e7fc5dd41",
+   "metadata": {},
+   "source": [
+    "### Wyodrębnienie cech, które miają swój największy wkład w tworzeniu danej składowej głównej \n",
+    "Dla tych 15 nowo stworzonych zmiennych został sprawdzony wpływ zmiennych pierwotnych na ich wartości. Te atrybuty, które w największym stopniu wpłynęły na wartość danego komponentu zostały wykorzystane w algorytmach klasyfikacyjnych. Po eliminacji atrybutów powtarzających się ich liczba wyniosła łącznie 12. Są to : **'fractal dimension error', 'concavity error', 'mean texture', 'worst symmetry', 'texture error', 'compactness error', 'smoothness error', 'mean symmetry', 'mean radius', 'mean compactness', 'concave points error', 'radius error'**. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 154,
+   "id": "347cf143-2fee-42a5-8f22-d50bad581871",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "smoothness error\n",
+      "compactness error\n",
+      "worst symmetry\n",
+      "texture error\n",
+      "concave points error\n",
+      "concavity error\n",
+      "radius error\n",
+      "mean symmetry\n",
+      "fractal dimension error\n",
+      "mean radius\n",
+      "mean compactness\n",
+      "mean texture\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_value_index_object:pd.core.series.Series = pca_dataframe.idxmax(axis=1)\n",
+    "max_value_index_object_2:typing.List[str] = list(set(max_value_index_object))\n",
+    "\n",
+    "for item in max_value_index_object_2:\n",
+    "    print(item)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 155,
+   "id": "d0b6af90-9f97-46ac-81d2-7eddec768527",
+   "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>smoothness error</th>\n",
+       "      <th>compactness error</th>\n",
+       "      <th>worst symmetry</th>\n",
+       "      <th>texture error</th>\n",
+       "      <th>concave points error</th>\n",
+       "      <th>concavity error</th>\n",
+       "      <th>radius error</th>\n",
+       "      <th>mean symmetry</th>\n",
+       "      <th>fractal dimension error</th>\n",
+       "      <th>mean radius</th>\n",
+       "      <th>mean compactness</th>\n",
+       "      <th>mean texture</th>\n",
+       "      <th>target</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0.006399</td>\n",
+       "      <td>0.04904</td>\n",
+       "      <td>0.4601</td>\n",
+       "      <td>0.9053</td>\n",
+       "      <td>0.01587</td>\n",
+       "      <td>0.05373</td>\n",
+       "      <td>1.0950</td>\n",
+       "      <td>0.2419</td>\n",
+       "      <td>0.006193</td>\n",
+       "      <td>17.99</td>\n",
+       "      <td>0.27760</td>\n",
+       "      <td>10.38</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0.005225</td>\n",
+       "      <td>0.01308</td>\n",
+       "      <td>0.2750</td>\n",
+       "      <td>0.7339</td>\n",
+       "      <td>0.01340</td>\n",
+       "      <td>0.01860</td>\n",
+       "      <td>0.5435</td>\n",
+       "      <td>0.1812</td>\n",
+       "      <td>0.003532</td>\n",
+       "      <td>20.57</td>\n",
+       "      <td>0.07864</td>\n",
+       "      <td>17.77</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0.006150</td>\n",
+       "      <td>0.04006</td>\n",
+       "      <td>0.3613</td>\n",
+       "      <td>0.7869</td>\n",
+       "      <td>0.02058</td>\n",
+       "      <td>0.03832</td>\n",
+       "      <td>0.7456</td>\n",
+       "      <td>0.2069</td>\n",
+       "      <td>0.004571</td>\n",
+       "      <td>19.69</td>\n",
+       "      <td>0.15990</td>\n",
+       "      <td>21.25</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0.009110</td>\n",
+       "      <td>0.07458</td>\n",
+       "      <td>0.6638</td>\n",
+       "      <td>1.1560</td>\n",
+       "      <td>0.01867</td>\n",
+       "      <td>0.05661</td>\n",
+       "      <td>0.4956</td>\n",
+       "      <td>0.2597</td>\n",
+       "      <td>0.009208</td>\n",
+       "      <td>11.42</td>\n",
+       "      <td>0.28390</td>\n",
+       "      <td>20.38</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0.011490</td>\n",
+       "      <td>0.02461</td>\n",
+       "      <td>0.2364</td>\n",
+       "      <td>0.7813</td>\n",
+       "      <td>0.01885</td>\n",
+       "      <td>0.05688</td>\n",
+       "      <td>0.7572</td>\n",
+       "      <td>0.1809</td>\n",
+       "      <td>0.005115</td>\n",
+       "      <td>20.29</td>\n",
+       "      <td>0.13280</td>\n",
+       "      <td>14.34</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   smoothness error  compactness error  worst symmetry  texture error  \\\n",
+       "0          0.006399            0.04904          0.4601         0.9053   \n",
+       "1          0.005225            0.01308          0.2750         0.7339   \n",
+       "2          0.006150            0.04006          0.3613         0.7869   \n",
+       "3          0.009110            0.07458          0.6638         1.1560   \n",
+       "4          0.011490            0.02461          0.2364         0.7813   \n",
+       "\n",
+       "   concave points error  concavity error  radius error  mean symmetry  \\\n",
+       "0               0.01587          0.05373        1.0950         0.2419   \n",
+       "1               0.01340          0.01860        0.5435         0.1812   \n",
+       "2               0.02058          0.03832        0.7456         0.2069   \n",
+       "3               0.01867          0.05661        0.4956         0.2597   \n",
+       "4               0.01885          0.05688        0.7572         0.1809   \n",
+       "\n",
+       "   fractal dimension error  mean radius  mean compactness  mean texture  \\\n",
+       "0                 0.006193        17.99           0.27760         10.38   \n",
+       "1                 0.003532        20.57           0.07864         17.77   \n",
+       "2                 0.004571        19.69           0.15990         21.25   \n",
+       "3                 0.009208        11.42           0.28390         20.38   \n",
+       "4                 0.005115        20.29           0.13280         14.34   \n",
+       "\n",
+       "   target  \n",
+       "0       0  \n",
+       "1       0  \n",
+       "2       0  \n",
+       "3       0  \n",
+       "4       0  "
+      ]
+     },
+     "execution_count": 155,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_dataframe:pd.core.frame.DataFrame = dataframe_breast_cancer.loc[:,max_value_index_object_2]\n",
+    "new_dataframe['target']:pd.core.series.Series = pd.Series(dataframe_breast_cancer.target)\n",
+    "new_dataframe.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98f26bc2-850e-425b-a9ea-7153d589bb0a",
+   "metadata": {},
+   "source": [
+    "### Wyodrębnienie danych treningowych i testowych oraz przeprowadzenie ich standaryzacji \n",
+    "Na tym etapie doszło do podziału danych na te, które będą trenowane przez algorytm oraz te, na ktorych jego działanie będzie testowane. Dodatkowa został ponownie przeprowadzona standaryzacja."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 156,
+   "id": "1e07e5bb-087b-4fec-a7f4-b1adec3f8a2a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_0:pd.core.frame.DataFrame = dataframe_breast_cancer.loc[:,max_value_index_object_2 ].values \n",
+    "y_0:pd.core.frame.DataFrame = dataframe_breast_cancer.loc[:,'target'].values\n",
+    "\n",
+    "X_train: np.ndarray\n",
+    "X_test: np.ndarray\n",
+    "y_train: np.ndarray\n",
+    "y_test: np.ndarray\n",
+    "X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(X_0, y_0, test_size = 0.2, random_state = 42)\n",
+    "\n",
+    "X_train:np.ndarray = standard_scaler.fit_transform(X_train)\n",
+    "X_test:np.ndarray = standard_scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "520b80be-e0b2-4de7-9175-8460ea31d424",
+   "metadata": {},
+   "source": [
+    "## Etap III: Klasyfikacja \n",
+    "Etap klasyfikacji był tym etapem, w ramach którego na przygotowanych już danych zostały zastsowane najpopularniejsze algorytmy uczenia maszynowego. Algorytmy te zostały zastosowane na dwóch rodzajch danych, na tych pochodzących ze zredukowanej liczby cech wyjściowych oraz opartych na składowych głównych."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "97f16137-28e7-4eef-83a8-83297db964a6",
+   "metadata": {},
+   "source": [
+    "### Użycie w klasyfikacji zredukowanej liczby cech wejściowych "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f39187bb-1843-4693-bc1e-752eedc69d36",
+   "metadata": {},
+   "source": [
+    "#### k-NN - algorytm K najbliższych sąsiadów"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 157,
+   "id": "e6f3eb51-e95f-4814-9123-c6140ad7f8c6",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Minimum error:- 0.04 at K = 10\n",
+      "Maximum accuracy:- 96.0 % at K = 10\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.97      0.86      0.91        43\n",
+      "           1       0.92      0.99      0.95        71\n",
+      "\n",
+      "    accuracy                           0.94       114\n",
+      "   macro avg       0.95      0.92      0.93       114\n",
+      "weighted avg       0.94      0.94      0.94       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "error_rate: typing.List[float] = []\n",
+    "accuracy: typing.List[float] =[]\n",
+    "for i in range(1,40):\n",
+    "    k_nearest_neighbors:sklearn.neighbors._classification.KNeighborsClassifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=i).fit(X_train,y_train)\n",
+    "    prediction_ingredients:np.ndarray = k_nearest_neighbors.predict(X_test)\n",
+    "    error_rate.append(np.mean(prediction_ingredients != y_test))\n",
+    "    accuracy.append(sklearn.metrics.accuracy_score(y_test, prediction_ingredients))\n",
+    "\n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.subplot(2,1,1)\n",
+    "plt.plot(range(1,40),error_rate,color='blue', linestyle='dashed', marker='o',markerfacecolor='red', markersize=10)\n",
+    "plt.title('Error Rate vs. K Value')\n",
+    "plt.xlabel('K')\n",
+    "plt.ylabel('Error Rate')\n",
+    "print('Minimum error:-',round(min(error_rate),2),'at K =',error_rate.index(min(error_rate)))\n",
+    "\n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.subplot(2,1,2)\n",
+    "plt.plot(range(1,40),accuracy,color = 'blue',linestyle='dashed',marker='o',markerfacecolor='red', markersize=10)\n",
+    "plt.title('accuracy vs. K Value')\n",
+    "plt.xlabel('K')\n",
+    "plt.ylabel('Accuracy')\n",
+    "print('Maximum accuracy:-',round(max(accuracy),2)*100,'% at K =',accuracy.index(max(accuracy)))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, prediction_ingredients)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})\n",
+    "\n",
+    "print(sklearn.metrics.classification_report(y_test, prediction_ingredients))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ebb2aef2-a1fe-412f-8818-7dd8b3a95113",
+   "metadata": {},
+   "source": [
+    "#### SVM - maszyna wektorów nośnych "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "id": "557f9753-4baf-4182-8bda-4e8b27314b2b",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  96.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.95      0.93      0.94        43\n",
+      "           1       0.96      0.97      0.97        71\n",
+      "\n",
+      "    accuracy                           0.96       114\n",
+      "   macro avg       0.96      0.95      0.95       114\n",
+      "weighted avg       0.96      0.96      0.96       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "support_vector_machine:sklearn.svm._classes.SVC = sklearn.svm.SVC(kernel='linear').fit(X_train, y_train)\n",
+    "\n",
+    "y_prediction:np.ndarray = support_vector_machine.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8177e403-8956-4129-9fab-1ca3bb5cfddd",
+   "metadata": {},
+   "source": [
+    "#### Naiwny klasyfikator Bayes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "id": "a6885126-7d70-409e-8402-3deec49cacf0",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  93.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.93      0.88      0.90        43\n",
+      "           1       0.93      0.96      0.94        71\n",
+      "\n",
+      "    accuracy                           0.93       114\n",
+      "   macro avg       0.93      0.92      0.92       114\n",
+      "weighted avg       0.93      0.93      0.93       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "naive_bayes_classifier:sklearn.naive_bayes.GaussianNB = sklearn.naive_bayes.GaussianNB().fit(X_train, y_train)\n",
+    "\n",
+    "predicted:np.ndarray = naive_bayes_classifier.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, predicted),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, predicted))\n",
+    "\n",
+    "confusion_matrix:np.ndarray  = sklearn.metrics.confusion_matrix(y_test, predicted)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7b9b284b-1b78-40fe-b88a-1e3a89102fd0",
+   "metadata": {},
+   "source": [
+    "#### Drzewo decyzyjne"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "id": "a235fc37-c7d4-49cf-a5ff-ebd8d9c058a3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  94.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.89      0.95      0.92        43\n",
+      "           1       0.97      0.93      0.95        71\n",
+      "\n",
+      "    accuracy                           0.94       114\n",
+      "   macro avg       0.93      0.94      0.94       114\n",
+      "weighted avg       0.94      0.94      0.94       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "decision_tree_classifier:sklearn.tree._classes.DecisionTreeClassifier = sklearn.tree.DecisionTreeClassifier().fit(X_train,y_train)\n",
+    "\n",
+    "y_prediction_1:np.ndarray = decision_tree_classifier.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction_1),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction_1))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction_1)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2), range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bcb2ad2d-0252-49ab-8ed1-9b394cfeb804",
+   "metadata": {},
+   "source": [
+    "#### Lasy losowe"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "id": "f3921c43-ef3b-454a-85e7-6032fdeb6c35",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  93.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.87      0.95      0.91        43\n",
+      "           1       0.97      0.92      0.94        71\n",
+      "\n",
+      "    accuracy                           0.93       114\n",
+      "   macro avg       0.92      0.93      0.93       114\n",
+      "weighted avg       0.93      0.93      0.93       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "classifier_random_forest:sklearn.ensemble._forest.RandomForestClassifier = sklearn.ensemble.RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 0).fit(X_train, y_train)\n",
+    "y_prediction_2:np.ndarray = classifier_random_forest.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction_2),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction_2))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction_2)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ab74e61e-397b-44f7-82b7-51e61f7404fb",
+   "metadata": {},
+   "source": [
+    "#### Sieć neuronowa - jednowarstwowa "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "id": "1fe43753-3782-4426-9229-6717fbc6b20a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 00278: early stopping\n",
+      "4/4 [==============================] - 0s 2ms/step - loss: 0.1472 - accuracy: 0.9386\n",
+      "Test loss:  15.0 %\n",
+      "Test accuracy:  94.0 %\n",
+      "Testing data AUC:  93.0 %\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_7\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_14 (Dense)            (None, 13)                169       \n",
+      "                                                                 \n",
+      " dense_15 (Dense)            (None, 1)                 14        \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 183\n",
+      "Trainable params: 183\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "None\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.95      0.88      0.92        43\n",
+      "           1       0.93      0.97      0.95        71\n",
+      "\n",
+      "    accuracy                           0.94       114\n",
+      "   macro avg       0.94      0.93      0.93       114\n",
+      "weighted avg       0.94      0.94      0.94       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def l1neural_network():\n",
+    "    model:keras.engine.sequential.Sequential= keras.models.Sequential()\n",
+    "    model.add(keras.layers.Dense(13,input_shape=(12,),activation='relu'))\n",
+    "    model.add(keras.layers.Dense(1, activation='sigmoid'))\n",
+    "    model.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), metrics = ['accuracy'])\n",
+    "    \n",
+    "    earlystopper:keras.callbacks.EarlyStopping = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=15, verbose=1, mode='auto')\n",
+    "    \n",
+    "    history:keras.callbacks.History = model.fit(X_train, y_train, epochs = 2000, batch_size=150, validation_split = 0.15, verbose = 0,callbacks = [earlystopper])\n",
+    " \n",
+    "    history_dictionary:typing.Dict[str,float]=history.history\n",
+    "\n",
+    "    loss_values:typing.List[float] = history_dictionary['loss']\n",
+    "    \n",
+    "    validation_loss_values:typing.List[float]=history_dictionary['val_loss']\n",
+    "    \n",
+    "    plt.figure(figsize=(10,10))\n",
+    "    plt.subplot(2,1,1)\n",
+    "    plt.plot(loss_values,'m',label='training loss')\n",
+    "    plt.plot(validation_loss_values,'y',label='validation training loss')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Loss')\n",
+    "    \n",
+    "    accuracy_values:typing.List[float] = history_dictionary['accuracy']\n",
+    "    validation_accuracy_values:typing.List[float]=history_dictionary['val_accuracy']\n",
+    "    plt.subplot(2,1,2)\n",
+    "    plt.plot(validation_accuracy_values,'-r',label='validation_accuracy')   \n",
+    "    plt.plot(accuracy_values,'-b',label='acc')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Accuracy')\n",
+    "    \n",
+    "    loss: float\n",
+    "    accuracy: float\n",
+    "    loss,accuracy = model.evaluate(X_test, y_test)\n",
+    "   \n",
+    "    print('Test loss: ', round(loss,2)*100,'%')\n",
+    "    print('Test accuracy: ', round(accuracy,2)*100,'%')\n",
+    "    \n",
+    "    y_test_prediction:np.ndarray = model.predict(X_test)\n",
+    "    \n",
+    "    y_test_prediction:np.ndarray = (y_test_prediction > 0.5)\n",
+    "\n",
+    "    false_prediction_keras:np.ndarray\n",
+    "    true_prediction_keras:np.ndarray\n",
+    "    thresholds_keras:np.ndarray  \n",
+    "    false_prediction_keras, true_prediction_keras, thresholds_keras = sklearn.metrics.roc_curve(y_test,y_test_prediction)\n",
+    "\n",
+    "    auc_keras:np.float64 = sklearn.metrics.auc(false_prediction_keras, true_prediction_keras)\n",
+    "   \n",
+    "    print('Testing data AUC: ', round(auc_keras,2)*100,'%')\n",
+    "    \n",
+    "    plt.figure(figsize=(10,6))\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.plot(false_prediction_keras, true_prediction_keras, label='Keras (area = {:.3f})'.format(auc_keras))\n",
+    "   \n",
+    "    plt.xlabel('False positive rate')\n",
+    "    plt.ylabel('True positive rate')\n",
+    "    plt.title('ROC curve')\n",
+    "    plt.legend(loc='best')\n",
+    "    plt.show()\n",
+    "    \n",
+    "    print(model.summary())\n",
+    "    \n",
+    "    confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test,  y_test_prediction)\n",
+    "    \n",
+    "    sns.heatmap(confusion_matrix,annot=True)\n",
+    "    \n",
+    "    print(sklearn.metrics.classification_report(y_test, y_test_prediction))\n",
+    "    \n",
+    "l1neural_network()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef226eb6-1c80-4233-8738-e646f76de9e8",
+   "metadata": {},
+   "source": [
+    "#### Sieć neuronowa - trzywarstwowa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "id": "ddc3172f-962f-4626-aaee-69c1036532ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 00134: early stopping\n",
+      "4/4 [==============================] - 0s 2ms/step - loss: 0.1382 - accuracy: 0.9386\n",
+      "Test loss:  14.000000000000002 %\n",
+      "Test accuracy:  94.0 %\n",
+      "Testing data AUC:  94.0 %\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_8\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_16 (Dense)            (None, 13)                169       \n",
+      "                                                                 \n",
+      " dropout (Dropout)           (None, 13)                0         \n",
+      "                                                                 \n",
+      " dense_17 (Dense)            (None, 13)                182       \n",
+      "                                                                 \n",
+      " dropout_1 (Dropout)         (None, 13)                0         \n",
+      "                                                                 \n",
+      " dense_18 (Dense)            (None, 1)                 14        \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 365\n",
+      "Trainable params: 365\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "None\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.91      0.93      0.92        43\n",
+      "           1       0.96      0.94      0.95        71\n",
+      "\n",
+      "    accuracy                           0.94       114\n",
+      "   macro avg       0.93      0.94      0.93       114\n",
+      "weighted avg       0.94      0.94      0.94       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def l31neural_network():\n",
+    "    model:keras.engine.sequential.Sequential = keras.models.Sequential()\n",
+    "    model.add(keras.layers.Dense(13,input_shape=(12,),activation='relu'))\n",
+    "    model.add(keras.layers.Dropout(0.1))\n",
+    "    model.add(keras.layers.Dense(13,activation='relu'))\n",
+    "    model.add(keras.layers.Dropout(0.1))\n",
+    "    model.add(keras.layers.Dense(1, activation='sigmoid'))\n",
+    "    model.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), metrics = ['accuracy'])\n",
+    "    \n",
+    "    earlystopper:keras.callbacks.EarlyStopping = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=15, verbose=1, mode='auto')\n",
+    "    \n",
+    "    history:keras.callbacks.History = model.fit(X_train, y_train, epochs = 2000, batch_size=150, validation_split = 0.15, verbose = 0,callbacks = [earlystopper])\n",
+    "    \n",
+    "    history_dictionary:typing.Dict[str,float]=history.history\n",
+    "  \n",
+    "    loss_values:typing.List[float] = history_dictionary['loss']\n",
+    "    validation_loss_values:typing.List[float]=history_dictionary['val_loss']\n",
+    "    \n",
+    "    plt.figure(figsize=(10,10))\n",
+    "    plt.subplot(2,1,1)\n",
+    "    plt.plot(loss_values,'m',label='training loss')\n",
+    "    plt.plot(validation_loss_values,'y',label='validation training loss')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Loss')\n",
+    "    \n",
+    "    accuracy_values:typing.List[float] = history_dictionary['accuracy']\n",
+    "    validation_accuracy_values:typing.List[float]=history_dictionary['val_accuracy']\n",
+    "    plt.subplot(2,1,2)\n",
+    "    plt.plot(validation_accuracy_values,'-r',label='val_acc')   \n",
+    "    plt.plot(accuracy_values,'-b',label='acc')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Accuracy')\n",
+    "    \n",
+    "    loss: float\n",
+    "    accuracy: float\n",
+    "    loss, accuracy = model.evaluate(X_test, y_test)\n",
+    "    print('Test loss: ', round(loss,2)*100,'%')\n",
+    "    print('Test accuracy: ', round(accuracy,2)*100,'%')\n",
+    "       \n",
+    "    y_test_prediction:np.ndarray = model.predict(X_test)\n",
+    "    y_test_prediction:np.ndarray = (y_test_prediction > 0.5)\n",
+    "    \n",
+    "    false_prediction_keras:np.ndarray\n",
+    "    true_prediction_keras:np.ndarray\n",
+    "    thresholds_keras:np.ndarray  \n",
+    "    false_prediction_keras, true_prediction_keras, thresholds_keras = sklearn.metrics.roc_curve(y_test,y_test_prediction)\n",
+    "    auc_keras:np.float64 = sklearn.metrics.auc(false_prediction_keras, true_prediction_keras)\n",
+    "    print('Testing data AUC: ', round(auc_keras,2)*100,'%')\n",
+    "    \n",
+    "    plt.figure(figsize=(10,6))\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.plot(false_prediction_keras, true_prediction_keras, label='Keras (area = {:.3f})'.format(auc_keras))\n",
+    "    \n",
+    "    plt.xlabel('False positive rate')\n",
+    "    plt.ylabel('True positive rate')\n",
+    "    plt.title('ROC curve')\n",
+    "    plt.legend(loc='best')\n",
+    "    plt.show()\n",
+    "    \n",
+    "    print(model.summary())\n",
+    "    \n",
+    "    confusion_matrix:np.ndarray  = sklearn.metrics.confusion_matrix(y_test,  y_test_prediction)\n",
+    "    sns.heatmap(confusion_matrix,annot=True)\n",
+    "    \n",
+    "    print(sklearn.metrics.classification_report(y_test, y_test_prediction))\n",
+    "\n",
+    "l31neural_network()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d4af131-0d7f-4073-a56f-16075422d87f",
+   "metadata": {},
+   "source": [
+    "### Użycie w analizie składowych głównych \n",
+    "Analogicznie jak do wybranych cech wejściowych algorytmy wyuczyły modele oraz je przetestowały na danych stworzonych przez metodę PCA. Dzięki temu finalnie można było uzyskać wyniki parametrów dla obydwu podejść do obróbki danych oraz wyciągnąć wnioski na temat, która metoda i w jakim wariancie daje lepsze rezultaty."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "id": "c9845643-baa9-4649-9c47-da27dd2853dd",
+   "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>PC1</th>\n",
+       "      <th>PC2</th>\n",
+       "      <th>PC3</th>\n",
+       "      <th>PC4</th>\n",
+       "      <th>PC5</th>\n",
+       "      <th>PC6</th>\n",
+       "      <th>PC7</th>\n",
+       "      <th>PC8</th>\n",
+       "      <th>PC9</th>\n",
+       "      <th>PC10</th>\n",
+       "      <th>PC11</th>\n",
+       "      <th>PC12</th>\n",
+       "      <th>PC13</th>\n",
+       "      <th>PC14</th>\n",
+       "      <th>PC15</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>7.284671</td>\n",
+       "      <td>-1.208271</td>\n",
+       "      <td>-1.858766</td>\n",
+       "      <td>-0.836040</td>\n",
+       "      <td>0.642161</td>\n",
+       "      <td>-2.406943</td>\n",
+       "      <td>-1.656136</td>\n",
+       "      <td>-0.839583</td>\n",
+       "      <td>0.730373</td>\n",
+       "      <td>0.548312</td>\n",
+       "      <td>0.843653</td>\n",
+       "      <td>0.251745</td>\n",
+       "      <td>-0.767297</td>\n",
+       "      <td>-0.383423</td>\n",
+       "      <td>-0.708126</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>-0.935879</td>\n",
+       "      <td>-1.832671</td>\n",
+       "      <td>0.636750</td>\n",
+       "      <td>0.279874</td>\n",
+       "      <td>-0.244476</td>\n",
+       "      <td>-0.824172</td>\n",
+       "      <td>-0.315330</td>\n",
+       "      <td>-0.335931</td>\n",
+       "      <td>-0.726305</td>\n",
+       "      <td>0.300885</td>\n",
+       "      <td>0.314905</td>\n",
+       "      <td>-0.588736</td>\n",
+       "      <td>0.690045</td>\n",
+       "      <td>-0.841064</td>\n",
+       "      <td>0.340263</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3.151689</td>\n",
+       "      <td>-1.903737</td>\n",
+       "      <td>0.555302</td>\n",
+       "      <td>-0.696233</td>\n",
+       "      <td>0.108278</td>\n",
+       "      <td>-0.893050</td>\n",
+       "      <td>0.213089</td>\n",
+       "      <td>-0.141652</td>\n",
+       "      <td>-0.450688</td>\n",
+       "      <td>-0.530465</td>\n",
+       "      <td>-0.264921</td>\n",
+       "      <td>-0.484401</td>\n",
+       "      <td>0.205008</td>\n",
+       "      <td>0.093155</td>\n",
+       "      <td>0.067919</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>11.347898</td>\n",
+       "      <td>2.319956</td>\n",
+       "      <td>-5.442608</td>\n",
+       "      <td>-1.917882</td>\n",
+       "      <td>3.270746</td>\n",
+       "      <td>0.121826</td>\n",
+       "      <td>-0.383612</td>\n",
+       "      <td>-1.990400</td>\n",
+       "      <td>1.161937</td>\n",
+       "      <td>-0.429158</td>\n",
+       "      <td>-1.380756</td>\n",
+       "      <td>-0.822577</td>\n",
+       "      <td>-0.178090</td>\n",
+       "      <td>-0.494565</td>\n",
+       "      <td>-0.429086</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.384769</td>\n",
+       "      <td>-0.726611</td>\n",
+       "      <td>1.644099</td>\n",
+       "      <td>-0.005704</td>\n",
+       "      <td>-2.077323</td>\n",
+       "      <td>-1.971702</td>\n",
+       "      <td>0.603534</td>\n",
+       "      <td>-0.336399</td>\n",
+       "      <td>-0.191956</td>\n",
+       "      <td>0.447599</td>\n",
+       "      <td>0.551826</td>\n",
+       "      <td>0.350419</td>\n",
+       "      <td>0.450675</td>\n",
+       "      <td>-0.665382</td>\n",
+       "      <td>0.205578</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",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>564</th>\n",
+       "      <td>1.921729</td>\n",
+       "      <td>-1.726831</td>\n",
+       "      <td>3.333806</td>\n",
+       "      <td>-0.756528</td>\n",
+       "      <td>-2.953762</td>\n",
+       "      <td>-0.608214</td>\n",
+       "      <td>0.207326</td>\n",
+       "      <td>0.182170</td>\n",
+       "      <td>-0.634628</td>\n",
+       "      <td>0.444733</td>\n",
+       "      <td>-0.183329</td>\n",
+       "      <td>-0.267098</td>\n",
+       "      <td>-0.164720</td>\n",
+       "      <td>-0.196190</td>\n",
+       "      <td>0.280208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>565</th>\n",
+       "      <td>0.214139</td>\n",
+       "      <td>-1.282271</td>\n",
+       "      <td>3.405017</td>\n",
+       "      <td>-1.315272</td>\n",
+       "      <td>-0.049790</td>\n",
+       "      <td>1.513012</td>\n",
+       "      <td>-0.410779</td>\n",
+       "      <td>0.986550</td>\n",
+       "      <td>0.248048</td>\n",
+       "      <td>0.014051</td>\n",
+       "      <td>-0.146488</td>\n",
+       "      <td>-0.186513</td>\n",
+       "      <td>0.235266</td>\n",
+       "      <td>-0.084341</td>\n",
+       "      <td>-0.038726</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>566</th>\n",
+       "      <td>-0.219323</td>\n",
+       "      <td>-1.302733</td>\n",
+       "      <td>2.097151</td>\n",
+       "      <td>1.347036</td>\n",
+       "      <td>-0.115790</td>\n",
+       "      <td>1.299400</td>\n",
+       "      <td>0.491402</td>\n",
+       "      <td>-0.121498</td>\n",
+       "      <td>-0.702267</td>\n",
+       "      <td>-0.583383</td>\n",
+       "      <td>-0.434788</td>\n",
+       "      <td>0.083567</td>\n",
+       "      <td>-0.164242</td>\n",
+       "      <td>0.328366</td>\n",
+       "      <td>0.205072</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>567</th>\n",
+       "      <td>8.400495</td>\n",
+       "      <td>-2.606524</td>\n",
+       "      <td>-0.152166</td>\n",
+       "      <td>-0.307609</td>\n",
+       "      <td>0.952772</td>\n",
+       "      <td>1.812362</td>\n",
+       "      <td>-0.230736</td>\n",
+       "      <td>-0.128009</td>\n",
+       "      <td>0.217555</td>\n",
+       "      <td>-0.395847</td>\n",
+       "      <td>0.666025</td>\n",
+       "      <td>0.930355</td>\n",
+       "      <td>-0.059844</td>\n",
+       "      <td>0.189695</td>\n",
+       "      <td>0.223079</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>568</th>\n",
+       "      <td>-4.225625</td>\n",
+       "      <td>1.119987</td>\n",
+       "      <td>0.873768</td>\n",
+       "      <td>0.015384</td>\n",
+       "      <td>2.289668</td>\n",
+       "      <td>1.368776</td>\n",
+       "      <td>-0.043018</td>\n",
+       "      <td>-1.489863</td>\n",
+       "      <td>-0.537112</td>\n",
+       "      <td>0.828064</td>\n",
+       "      <td>0.069525</td>\n",
+       "      <td>0.522370</td>\n",
+       "      <td>-0.771215</td>\n",
+       "      <td>-0.423271</td>\n",
+       "      <td>-0.362224</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>569 rows × 15 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           PC1       PC2       PC3       PC4       PC5       PC6       PC7  \\\n",
+       "0     7.284671 -1.208271 -1.858766 -0.836040  0.642161 -2.406943 -1.656136   \n",
+       "1    -0.935879 -1.832671  0.636750  0.279874 -0.244476 -0.824172 -0.315330   \n",
+       "2     3.151689 -1.903737  0.555302 -0.696233  0.108278 -0.893050  0.213089   \n",
+       "3    11.347898  2.319956 -5.442608 -1.917882  3.270746  0.121826 -0.383612   \n",
+       "4     1.384769 -0.726611  1.644099 -0.005704 -2.077323 -1.971702  0.603534   \n",
+       "..         ...       ...       ...       ...       ...       ...       ...   \n",
+       "564   1.921729 -1.726831  3.333806 -0.756528 -2.953762 -0.608214  0.207326   \n",
+       "565   0.214139 -1.282271  3.405017 -1.315272 -0.049790  1.513012 -0.410779   \n",
+       "566  -0.219323 -1.302733  2.097151  1.347036 -0.115790  1.299400  0.491402   \n",
+       "567   8.400495 -2.606524 -0.152166 -0.307609  0.952772  1.812362 -0.230736   \n",
+       "568  -4.225625  1.119987  0.873768  0.015384  2.289668  1.368776 -0.043018   \n",
+       "\n",
+       "          PC8       PC9      PC10      PC11      PC12      PC13      PC14  \\\n",
+       "0   -0.839583  0.730373  0.548312  0.843653  0.251745 -0.767297 -0.383423   \n",
+       "1   -0.335931 -0.726305  0.300885  0.314905 -0.588736  0.690045 -0.841064   \n",
+       "2   -0.141652 -0.450688 -0.530465 -0.264921 -0.484401  0.205008  0.093155   \n",
+       "3   -1.990400  1.161937 -0.429158 -1.380756 -0.822577 -0.178090 -0.494565   \n",
+       "4   -0.336399 -0.191956  0.447599  0.551826  0.350419  0.450675 -0.665382   \n",
+       "..        ...       ...       ...       ...       ...       ...       ...   \n",
+       "564  0.182170 -0.634628  0.444733 -0.183329 -0.267098 -0.164720 -0.196190   \n",
+       "565  0.986550  0.248048  0.014051 -0.146488 -0.186513  0.235266 -0.084341   \n",
+       "566 -0.121498 -0.702267 -0.583383 -0.434788  0.083567 -0.164242  0.328366   \n",
+       "567 -0.128009  0.217555 -0.395847  0.666025  0.930355 -0.059844  0.189695   \n",
+       "568 -1.489863 -0.537112  0.828064  0.069525  0.522370 -0.771215 -0.423271   \n",
+       "\n",
+       "         PC15  \n",
+       "0   -0.708126  \n",
+       "1    0.340263  \n",
+       "2    0.067919  \n",
+       "3   -0.429086  \n",
+       "4    0.205578  \n",
+       "..        ...  \n",
+       "564  0.280208  \n",
+       "565 -0.038726  \n",
+       "566  0.205072  \n",
+       "567  0.223079  \n",
+       "568 -0.362224  \n",
+       "\n",
+       "[569 rows x 15 columns]"
+      ]
+     },
+     "execution_count": 164,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "principal_dataframe:pd.core.frame.DataFrame=pd.DataFrame(data=pca_data[:,0:15],columns=['PC1','PC2','PC3','PC4','PC5','PC6','PC7','PC8','PC9','PC10','PC11','PC12','PC13','PC14','PC15']) \n",
+    "principal_dataframe"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0ca8b23-c418-4f4a-8e76-5d94a53a5507",
+   "metadata": {},
+   "source": [
+    "### Wyodrębnienie zbioru treningowego i testowego wraz z przeprowadzeniem standaryzacji "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "id": "5cef7f9d-2acf-4f6b-8b76-52041231120d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "X_train: np.ndarray\n",
+    "X_test: np.ndarray\n",
+    "y_train: np.ndarray\n",
+    "y_test: np.ndarray\n",
+    "X_train, X_test, y_train, y_test = sklearn.model_selection.train_test_split(principal_dataframe.values, y_0, test_size = 0.2, random_state = 42)\n",
+    "X_train: np.ndarray = standard_scaler.fit_transform(X_train)\n",
+    "X_test: np.ndarray = standard_scaler.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b5450bb4-d73b-453e-8a6c-5b40db883b9c",
+   "metadata": {},
+   "source": [
+    "#### k-NN - algorytm K najbliższych sąsiadów"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "id": "e28934bf-2d0e-4707-aabc-278e9778ee9a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Minimum error:- 0.08 at K = 11\n",
+      "Maximum accuracy:- 92.0 % at K = 11\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       1.00      0.65      0.79        43\n",
+      "           1       0.83      1.00      0.90        71\n",
+      "\n",
+      "    accuracy                           0.87       114\n",
+      "   macro avg       0.91      0.83      0.85       114\n",
+      "weighted avg       0.89      0.87      0.86       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "error_rate: typing.List[float] = []\n",
+    "accuracy: typing.List[float] =[]\n",
+    "for i in range(1,40):\n",
+    "    k_nearest_neighbors:sklearn.neighbors._classification.KNeighborsClassifier = sklearn.neighbors.KNeighborsClassifier(n_neighbors=i).fit(X_train,y_train)\n",
+    "    prediction_ingredients:np.ndarray = k_nearest_neighbors.predict(X_test)\n",
+    "    error_rate.append(np.mean(prediction_ingredients != y_test))\n",
+    "    accuracy.append(sklearn.metrics.accuracy_score(y_test, prediction_ingredients))\n",
+    "    \n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.subplot(2,1,1)\n",
+    "plt.plot(range(1,40),error_rate,color='blue', linestyle='dashed', marker='o',markerfacecolor='red', markersize=10)\n",
+    "plt.title('Error Rate vs. K Value')\n",
+    "plt.xlabel('K')\n",
+    "plt.ylabel('Error Rate')\n",
+    "print('Minimum error:-',round(min(error_rate),2),'at K =',error_rate.index(min(error_rate)))\n",
+    "\n",
+    "plt.figure(figsize=(10,6))\n",
+    "plt.subplot(2,1,2)\n",
+    "plt.plot(range(1,40),accuracy,color = 'blue',linestyle='dashed',marker='o',markerfacecolor='red', markersize=10)\n",
+    "plt.title('accuracy vs. K Value')\n",
+    "plt.xlabel('K')\n",
+    "plt.ylabel('Accuracy')\n",
+    "print('Maximum accuracy:-',round(max(accuracy),2)*100,'% at K =',accuracy.index(max(accuracy)))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, prediction_ingredients)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})\n",
+    "\n",
+    "print(sklearn.metrics.classification_report(y_test, prediction_ingredients))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a1b8c88e-96ed-4ca8-b915-e1183cb43ddd",
+   "metadata": {},
+   "source": [
+    "#### SVM - maszyna wektorów nośnych "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "id": "b50420f7-6e1a-43ec-b22f-0364b17eb6ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  97.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.98      0.95      0.96        43\n",
+      "           1       0.97      0.99      0.98        71\n",
+      "\n",
+      "    accuracy                           0.97       114\n",
+      "   macro avg       0.97      0.97      0.97       114\n",
+      "weighted avg       0.97      0.97      0.97       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "support_vector_machine:sklearn.svm._classes.SVC = sklearn.svm.SVC(kernel='linear').fit(X_train, y_train)\n",
+    "\n",
+    "y_prediction:np.ndarray = support_vector_machine.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e8822595-ab6a-4fce-90b6-202097d00445",
+   "metadata": {},
+   "source": [
+    "#### Naiwny klasyfikator Bayesa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "id": "75c02d76-84bb-4b86-9842-e87293f7fe17",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  84.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.88      0.67      0.76        43\n",
+      "           1       0.83      0.94      0.88        71\n",
+      "\n",
+      "    accuracy                           0.84       114\n",
+      "   macro avg       0.85      0.81      0.82       114\n",
+      "weighted avg       0.85      0.84      0.84       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "naive_bayes_classifier:sklearn.naive_bayes.GaussianNB = sklearn.naive_bayes.GaussianNB().fit(X_train, y_train)\n",
+    "\n",
+    "predicted:np.ndarray = naive_bayes_classifier.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, predicted),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, predicted))\n",
+    "\n",
+    "confusion_matrix:np.ndarray  = sklearn.metrics.confusion_matrix(y_test, predicted)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d9288410-34ad-4330-b2cd-586cd88e3712",
+   "metadata": {},
+   "source": [
+    "#### Drzewo decyzyjne "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "id": "9447f090-9f3c-4e11-a3bc-3f190a69fc9f",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  85.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.81      0.79      0.80        43\n",
+      "           1       0.88      0.89      0.88        71\n",
+      "\n",
+      "    accuracy                           0.85       114\n",
+      "   macro avg       0.84      0.84      0.84       114\n",
+      "weighted avg       0.85      0.85      0.85       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "decision_tree_classifier:sklearn.tree._classes.DecisionTreeClassifier = sklearn.tree.DecisionTreeClassifier().fit(X_train,y_train)\n",
+    "\n",
+    "y_prediction_1:np.ndarray = decision_tree_classifier.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction_1),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction_1))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction_1)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2), range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27302f31-7fa4-495c-8d6f-292075173d42",
+   "metadata": {},
+   "source": [
+    "#### Lasy losowe "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "id": "e6587850-b50c-4a8a-994e-7d4ee0ec2180",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Accuracy:  84.0 %\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.80      0.77      0.79        43\n",
+      "           1       0.86      0.89      0.88        71\n",
+      "\n",
+      "    accuracy                           0.84       114\n",
+      "   macro avg       0.83      0.83      0.83       114\n",
+      "weighted avg       0.84      0.84      0.84       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x504 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "classifier_random_forest:sklearn.ensemble._forest.RandomForestClassifier = sklearn.ensemble.RandomForestClassifier(n_estimators = 10, criterion = 'entropy', random_state = 0).fit(X_train, y_train)\n",
+    "y_prediction_2:np.ndarray = classifier_random_forest.predict(X_test)\n",
+    "\n",
+    "print('Accuracy: ',round(sklearn.metrics.accuracy_score(y_test, y_prediction_2),2)*100,'%')\n",
+    "print(sklearn.metrics.classification_report(y_test, y_prediction_2))\n",
+    "\n",
+    "confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test, y_prediction_2)\n",
+    "dataframe_confusion_matrix:pd.core.frame.DataFrame = pd.DataFrame(confusion_matrix, range(2),range(2))\n",
+    "plt.figure(figsize=(10,7))\n",
+    "sns.set(font_scale=1.4)\n",
+    "confusion_matrix_plot:matplotlib.axes.SubplotBase = sns.heatmap(dataframe_confusion_matrix, annot=True, fmt='n', annot_kws={'size': 12})"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2fcdc847-e34a-46bf-a1f1-b25a4c58bf3f",
+   "metadata": {},
+   "source": [
+    "#### Sieć neuronowa - jednowarstwowa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "id": "ac587364-e531-41f7-b0ae-795a157c788a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 00435: early stopping\n",
+      "4/4 [==============================] - 0s 2ms/step - loss: 0.1356 - accuracy: 0.9561\n",
+      "Test loss:  14.000000000000002 %\n",
+      "Test accuracy:  96.0 %\n",
+      "Testing data AUC:  95.0 %\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_9\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_19 (Dense)            (None, 13)                208       \n",
+      "                                                                 \n",
+      " dense_20 (Dense)            (None, 1)                 14        \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 222\n",
+      "Trainable params: 222\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "None\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.97      0.91      0.94        43\n",
+      "           1       0.95      0.99      0.97        71\n",
+      "\n",
+      "    accuracy                           0.96       114\n",
+      "   macro avg       0.96      0.95      0.95       114\n",
+      "weighted avg       0.96      0.96      0.96       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def l1neural_network():\n",
+    "    model:keras.engine.sequential.Sequential= keras.models.Sequential()\n",
+    "    model.add(keras.layers.Dense(13,input_shape=(15,),activation='relu'))\n",
+    "    model.add(keras.layers.Dense(1, activation='sigmoid'))\n",
+    "    model.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), metrics = ['accuracy'])\n",
+    "    \n",
+    "    earlystopper:keras.callbacks.EarlyStopping = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=15, verbose=1, mode='auto')\n",
+    "     \n",
+    "    history:keras.callbacks.History = model.fit(X_train, y_train, epochs = 2000, batch_size=150, validation_split = 0.15, verbose = 0,callbacks = [earlystopper])\n",
+    "   \n",
+    "    history_dictionary:typing.Dict[str,float]=history.history\n",
+    "\n",
+    "    loss_values:typing.List[float] = history_dictionary['loss']\n",
+    "\n",
+    "    validation_loss_values:typing.List[float]=history_dictionary['val_loss']\n",
+    "   \n",
+    "    plt.figure(figsize=(10,10))\n",
+    "    plt.subplot(2,1,1)\n",
+    "    plt.plot(loss_values,'m',label='training loss')\n",
+    "    plt.plot(validation_loss_values,'y',label='validation training loss')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Loss')\n",
+    "\n",
+    "    accuracy_values:typing.List[float] = history_dictionary['accuracy']\n",
+    "    validation_accuracy_values:typing.List[float]=history_dictionary['val_accuracy']\n",
+    "    plt.subplot(2,1,2)\n",
+    "    plt.plot(validation_accuracy_values,'-r',label='validation_accuracy')   \n",
+    "    plt.plot(accuracy_values,'-b',label='acc')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Accuracy')\n",
+    "    \n",
+    "    loss: float\n",
+    "    accuracy: float\n",
+    "    loss,accuracy = model.evaluate(X_test, y_test)\n",
+    "   \n",
+    "    print('Test loss: ', round(loss,2)*100,'%')\n",
+    "    print('Test accuracy: ', round(accuracy,2)*100,'%')\n",
+    "    \n",
+    "    y_test_prediction:np.ndarray = model.predict(X_test)\n",
+    "   \n",
+    "    y_test_prediction:np.ndarray = (y_test_prediction > 0.5)\n",
+    "\n",
+    "    false_prediction_keras:np.ndarray\n",
+    "    true_prediction_keras:np.ndarray\n",
+    "    thresholds_keras:np.ndarray  \n",
+    "    false_prediction_keras, true_prediction_keras, thresholds_keras = sklearn.metrics.roc_curve(y_test,y_test_prediction)\n",
+    "\n",
+    "    auc_keras:np.float64 = sklearn.metrics.auc(false_prediction_keras, true_prediction_keras)\n",
+    "   \n",
+    "    print('Testing data AUC: ', round(auc_keras,2)*100,'%')\n",
+    "    \n",
+    "    plt.figure(figsize=(10,6))\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.plot(false_prediction_keras, true_prediction_keras, label='Keras (area = {:.3f})'.format(auc_keras))\n",
+    "   \n",
+    "    plt.xlabel('False positive rate')\n",
+    "    plt.ylabel('True positive rate')\n",
+    "    plt.title('ROC curve')\n",
+    "    plt.legend(loc='best')\n",
+    "    plt.show()\n",
+    "    \n",
+    "    print(model.summary())\n",
+    "    \n",
+    "    confusion_matrix:np.ndarray = sklearn.metrics.confusion_matrix(y_test,  y_test_prediction)\n",
+    "    sns.heatmap(confusion_matrix,annot=True)\n",
+    "    \n",
+    "    print(sklearn.metrics.classification_report(y_test, y_test_prediction))\n",
+    "    \n",
+    "l1neural_network()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c4b962de-2910-4dc5-bbbf-b215d0cafb93",
+   "metadata": {},
+   "source": [
+    "#### Sieć neuronowa - trzywarstwowa"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "id": "7aabc8f0-eb32-4dc7-a2fd-d06e02ee3a59",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch 00207: early stopping\n",
+      "4/4 [==============================] - 0s 2ms/step - loss: 0.1534 - accuracy: 0.9298\n",
+      "Test loss:  15.0 %\n",
+      "Test accuracy:  93.0 %\n",
+      "Testing data AUC:  92.0 %\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_10\"\n",
+      "_________________________________________________________________\n",
+      " Layer (type)                Output Shape              Param #   \n",
+      "=================================================================\n",
+      " dense_21 (Dense)            (None, 13)                208       \n",
+      "                                                                 \n",
+      " dropout_2 (Dropout)         (None, 13)                0         \n",
+      "                                                                 \n",
+      " dense_22 (Dense)            (None, 13)                182       \n",
+      "                                                                 \n",
+      " dropout_3 (Dropout)         (None, 13)                0         \n",
+      "                                                                 \n",
+      " dense_23 (Dense)            (None, 1)                 14        \n",
+      "                                                                 \n",
+      "=================================================================\n",
+      "Total params: 404\n",
+      "Trainable params: 404\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n",
+      "None\n",
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0       0.95      0.86      0.90        43\n",
+      "           1       0.92      0.97      0.95        71\n",
+      "\n",
+      "    accuracy                           0.93       114\n",
+      "   macro avg       0.93      0.92      0.92       114\n",
+      "weighted avg       0.93      0.93      0.93       114\n",
+      "\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def l31neural_network():\n",
+    "    model:keras.engine.sequential.Sequential = keras.models.Sequential()\n",
+    "    model.add(keras.layers.Dense(13,input_shape=(15,),activation='relu'))\n",
+    "    model.add(keras.layers.Dropout(0.1))\n",
+    "    model.add(keras.layers.Dense(13,activation='relu'))\n",
+    "    model.add(keras.layers.Dropout(0.1))\n",
+    "    model.add(keras.layers.Dense(1, activation='sigmoid'))\n",
+    "    model.compile(loss='binary_crossentropy', optimizer=tf.keras.optimizers.Adam(learning_rate=0.001), metrics = ['accuracy'])\n",
+    "    \n",
+    "    earlystopper:keras.callbacks.EarlyStopping = keras.callbacks.EarlyStopping(monitor='val_loss', min_delta=0, patience=15, verbose=1, mode='auto')\n",
+    "\n",
+    "    history:keras.callbacks.History = model.fit(X_train, y_train, epochs = 2000, batch_size=150, validation_split = 0.15, verbose = 0,callbacks = [earlystopper])\n",
+    "\n",
+    "    history_dictionary:typing.Dict[str,float]=history.history\n",
+    "  \n",
+    "    loss_values:typing.List[float] = history_dictionary['loss']\n",
+    "    validation_loss_values:typing.List[float]=history_dictionary['val_loss']\n",
+    "    \n",
+    "    plt.figure(figsize=(10,10))\n",
+    "    plt.subplot(2,1,1)\n",
+    "    plt.plot(loss_values,'m',label='training loss')\n",
+    "    plt.plot(validation_loss_values,'y',label='validation training loss')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Loss')\n",
+    "\n",
+    "    accuracy_values:typing.List[float] = history_dictionary['accuracy']\n",
+    "    validation_accuracy_values:typing.List[float]=history_dictionary['val_accuracy']\n",
+    "    plt.subplot(2,1,2)\n",
+    "    plt.plot(validation_accuracy_values,'-r',label='val_acc')   \n",
+    "    plt.plot(accuracy_values,'-b',label='acc')\n",
+    "    plt.legend()\n",
+    "    plt.xlabel('Epochs')\n",
+    "    plt.ylabel('Accuracy')\n",
+    "    \n",
+    "    loss: float\n",
+    "    accuracy: float\n",
+    "    loss, accuracy = model.evaluate(X_test, y_test)\n",
+    "    print('Test loss: ', round(loss,2)*100,'%')\n",
+    "    print('Test accuracy: ', round(accuracy,2)*100,'%')\n",
+    "       \n",
+    "    y_test_prediction:np.ndarray = model.predict(X_test)\n",
+    "    y_test_prediction:np.ndarray = (y_test_prediction > 0.5)\n",
+    "    \n",
+    "    false_prediction_keras:np.ndarray\n",
+    "    true_prediction_keras:np.ndarray\n",
+    "    thresholds_keras:np.ndarray  \n",
+    "    false_prediction_keras, true_prediction_keras, thresholds_keras = sklearn.metrics.roc_curve(y_test,y_test_prediction)\n",
+    "    auc_keras:np.float64 = sklearn.metrics.auc(false_prediction_keras, true_prediction_keras)\n",
+    "    print('Testing data AUC: ', round(auc_keras,2)*100,'%')\n",
+    "    \n",
+    "    plt.figure(figsize=(10,6))\n",
+    "    plt.plot([0, 1], [0, 1], 'k--')\n",
+    "    plt.plot(false_prediction_keras, true_prediction_keras, label='Keras (area = {:.3f})'.format(auc_keras))\n",
+    "   \n",
+    "    plt.xlabel('False positive rate')\n",
+    "    plt.ylabel('True positive rate')\n",
+    "    plt.title('ROC curve')\n",
+    "    plt.legend(loc='best')\n",
+    "    plt.show()\n",
+    "    \n",
+    "    print(model.summary())\n",
+    "    \n",
+    "    confusion_matrix:np.ndarray  = sklearn.metrics.confusion_matrix(y_test,  y_test_prediction)\n",
+    "    sns.heatmap(confusion_matrix,annot=True)\n",
+    "    \n",
+    "    print(sklearn.metrics.classification_report(y_test, y_test_prediction))\n",
+    "\n",
+    "l31neural_network()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a8cfb985-e94d-4d32-839e-ff11255eccc5",
+   "metadata": {},
+   "source": [
+    "## Podsumowanie"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "84aaab23-32e3-43d2-ae76-7b4a3b92ef38",
+   "metadata": {},
+   "source": [
+    "W ramach projektu zostało zrealizowane zadanie określenia typu nowotworu na podstawie dostępnych danych. Zadanie to było klasycznym problemem klasyfikacyjnym, do którego rozwiązania wykorzytano zarówno techniki uczenia maszynowego jak i sieci neuronowe. Zanim zostały wykorzystane odpowiednie alogrytmy, dokonano redukcji danych za pomocą korelacji oraz metody PCA. Dzięki metodzie PCA uzskano dwie grupy zmiennych zredukowanych, które później stały się danymi treningowymi i testowymi dla wybranych algorytmów. Metody uczenia nadzorowanego, w których zastosowano cechy wejściowe posiadają średnio wyższe wyniki jeśli chodzi o dokładności (inne parametry) niżeli metody, gdzie zastosowano składowe główne. W obydwu przypadkach metody uczenia głębokiego wykazywały się średnio większą dokładnością od metod uczenia płytkiego. Finalnie jednak najlepszą z metod okazała się metoda wektorów nośnych (w wariancie ze składowymi głównymi)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/LICENSE.md b/LICENSE.md
new file mode 100644
index 0000000000000000000000000000000000000000..6f877922409e728b5e90b19250acbc60343b584b
--- /dev/null
+++ b/LICENSE.md
@@ -0,0 +1,22 @@
+#  The MIT License (MIT)
+
+
+Copyright (c) 2022 Centre of Informatics - Tricity Academic Supercomputer & networK (CI TASK)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.