Explore_Prostate_data.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "7f81daf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from fast_ml.model_development import train_valid_test_split\n",
    "from sklearn.model_selection import train_test_split\n",
    "import numpy as np\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "id": "399baf91",
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv('prostate_dkfz_2018_clinical_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "id": "f9581d61",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(324, 26)"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "cf73840d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Study ID', 'Patient ID', 'Sample ID', 'Diagnosis Age',\n",
       "       'Age Group at Diagnosis in Years', 'BCR Status', 'Cancer Type',\n",
       "       'Cancer Type Detailed', 'Clonality', 'ETS Status',\n",
       "       'Radical Prostatectomy Gleason Score for Prostate Cancer',\n",
       "       'Initial Treatment', 'Localized Tumor', 'Median Purity',\n",
       "       'Mono or Multifocal Status', 'Mutation Count', 'Oncotree Code',\n",
       "       'Preop PSA', 'Sample Class', 'Number of Samples Per Patient', 'Sex',\n",
       "       'Somatic Status', 'Source', 'Stage',\n",
       "       'Time from Surgery to BCR/Last Follow Up', 'TMB (nonsynonymous)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "e5d3bb49",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Male'], dtype=object)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Sex'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "397007f9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Study ID                                                     0\n",
       "Patient ID                                                   0\n",
       "Sample ID                                                    0\n",
       "Diagnosis Age                                                0\n",
       "Age Group at Diagnosis in Years                              0\n",
       "BCR Status                                                  23\n",
       "Cancer Type                                                  0\n",
       "Cancer Type Detailed                                         0\n",
       "Clonality                                                  133\n",
       "ETS Status                                                   0\n",
       "Radical Prostatectomy Gleason Score for Prostate Cancer      0\n",
       "Initial Treatment                                            0\n",
       "Localized Tumor                                              0\n",
       "Median Purity                                               92\n",
       "Mono or Multifocal Status                                   92\n",
       "Mutation Count                                              15\n",
       "Oncotree Code                                                0\n",
       "Preop PSA                                                    2\n",
       "Sample Class                                                 0\n",
       "Number of Samples Per Patient                                0\n",
       "Sex                                                          0\n",
       "Somatic Status                                               0\n",
       "Source                                                       0\n",
       "Stage                                                        2\n",
       "Time from Surgery to BCR/Last Follow Up                     24\n",
       "TMB (nonsynonymous)                                         11\n",
       "dtype: int64"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "2eec1a46",
   "metadata": {},
   "outputs": [],
   "source": [
    "new =data.drop(['Sample ID','Cancer Type'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "36268f19",
   "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>Study ID</th>\n",
       "      <th>Patient ID</th>\n",
       "      <th>Diagnosis Age</th>\n",
       "      <th>Age Group at Diagnosis in Years</th>\n",
       "      <th>BCR Status</th>\n",
       "      <th>Cancer Type Detailed</th>\n",
       "      <th>Clonality</th>\n",
       "      <th>ETS Status</th>\n",
       "      <th>Radical Prostatectomy Gleason Score for Prostate Cancer</th>\n",
       "      <th>Initial Treatment</th>\n",
       "      <th>...</th>\n",
       "      <th>Oncotree Code</th>\n",
       "      <th>Preop PSA</th>\n",
       "      <th>Sample Class</th>\n",
       "      <th>Number of Samples Per Patient</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Somatic Status</th>\n",
       "      <th>Source</th>\n",
       "      <th>Stage</th>\n",
       "      <th>Time from Surgery to BCR/Last Follow Up</th>\n",
       "      <th>TMB (nonsynonymous)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>prostate_dkfz_2018</td>\n",
       "      <td>CPCG0001</td>\n",
       "      <td>69</td>\n",
       "      <td>LO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Prostate</td>\n",
       "      <td>polyclonal</td>\n",
       "      <td>1</td>\n",
       "      <td>3+4</td>\n",
       "      <td>IGRT</td>\n",
       "      <td>...</td>\n",
       "      <td>PROSTATE</td>\n",
       "      <td>7.7</td>\n",
       "      <td>Tumor</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Matched</td>\n",
       "      <td>OICR</td>\n",
       "      <td>pT2b</td>\n",
       "      <td>114.9</td>\n",
       "      <td>3.433333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>prostate_dkfz_2018</td>\n",
       "      <td>CPCG0004</td>\n",
       "      <td>76</td>\n",
       "      <td>LO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Prostate</td>\n",
       "      <td>polyclonal</td>\n",
       "      <td>1</td>\n",
       "      <td>4+4</td>\n",
       "      <td>IGRT</td>\n",
       "      <td>...</td>\n",
       "      <td>PROSTATE</td>\n",
       "      <td>14.1</td>\n",
       "      <td>Tumor</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Matched</td>\n",
       "      <td>OICR</td>\n",
       "      <td>pT2b</td>\n",
       "      <td>53.1</td>\n",
       "      <td>1.266667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>prostate_dkfz_2018</td>\n",
       "      <td>CPCG0015</td>\n",
       "      <td>70</td>\n",
       "      <td>LO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Prostate</td>\n",
       "      <td>polyclonal</td>\n",
       "      <td>0</td>\n",
       "      <td>4+4</td>\n",
       "      <td>IGRT</td>\n",
       "      <td>...</td>\n",
       "      <td>PROSTATE</td>\n",
       "      <td>5.6</td>\n",
       "      <td>Tumor</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Matched</td>\n",
       "      <td>OICR</td>\n",
       "      <td>pT2a</td>\n",
       "      <td>51.2</td>\n",
       "      <td>1.133333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>prostate_dkfz_2018</td>\n",
       "      <td>CPCG0019</td>\n",
       "      <td>71</td>\n",
       "      <td>LO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Prostate</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>4+5</td>\n",
       "      <td>IGRT</td>\n",
       "      <td>...</td>\n",
       "      <td>PROSTATE</td>\n",
       "      <td>7.3</td>\n",
       "      <td>Tumor</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Matched</td>\n",
       "      <td>OICR</td>\n",
       "      <td>pT2a</td>\n",
       "      <td>90.9</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>prostate_dkfz_2018</td>\n",
       "      <td>CPCG0042</td>\n",
       "      <td>76</td>\n",
       "      <td>LO</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Prostate</td>\n",
       "      <td>monoclonal</td>\n",
       "      <td>1</td>\n",
       "      <td>4+3</td>\n",
       "      <td>IGRT</td>\n",
       "      <td>...</td>\n",
       "      <td>PROSTATE</td>\n",
       "      <td>5.6</td>\n",
       "      <td>Tumor</td>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Matched</td>\n",
       "      <td>OICR</td>\n",
       "      <td>pT2b</td>\n",
       "      <td>94.1</td>\n",
       "      <td>2.600000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Study ID Patient ID  Diagnosis Age  \\\n",
       "0  prostate_dkfz_2018   CPCG0001             69   \n",
       "1  prostate_dkfz_2018   CPCG0004             76   \n",
       "2  prostate_dkfz_2018   CPCG0015             70   \n",
       "3  prostate_dkfz_2018   CPCG0019             71   \n",
       "4  prostate_dkfz_2018   CPCG0042             76   \n",
       "\n",
       "  Age Group at Diagnosis in Years  BCR Status Cancer Type Detailed  \\\n",
       "0                              LO         1.0             Prostate   \n",
       "1                              LO         1.0             Prostate   \n",
       "2                              LO         1.0             Prostate   \n",
       "3                              LO         1.0             Prostate   \n",
       "4                              LO         1.0             Prostate   \n",
       "\n",
       "    Clonality  ETS Status  \\\n",
       "0  polyclonal           1   \n",
       "1  polyclonal           1   \n",
       "2  polyclonal           0   \n",
       "3         NaN           1   \n",
       "4  monoclonal           1   \n",
       "\n",
       "  Radical Prostatectomy Gleason Score for Prostate Cancer Initial Treatment  \\\n",
       "0                                                3+4                   IGRT   \n",
       "1                                                4+4                   IGRT   \n",
       "2                                                4+4                   IGRT   \n",
       "3                                                4+5                   IGRT   \n",
       "4                                                4+3                   IGRT   \n",
       "\n",
       "   ...  Oncotree Code  Preop PSA Sample Class  Number of Samples Per Patient  \\\n",
       "0  ...       PROSTATE        7.7        Tumor                              1   \n",
       "1  ...       PROSTATE       14.1        Tumor                              1   \n",
       "2  ...       PROSTATE        5.6        Tumor                              1   \n",
       "3  ...       PROSTATE        7.3        Tumor                              1   \n",
       "4  ...       PROSTATE        5.6        Tumor                              1   \n",
       "\n",
       "    Sex  Somatic Status Source  Stage Time from Surgery to BCR/Last Follow Up  \\\n",
       "0  Male         Matched   OICR   pT2b                                   114.9   \n",
       "1  Male         Matched   OICR   pT2b                                    53.1   \n",
       "2  Male         Matched   OICR   pT2a                                    51.2   \n",
       "3  Male         Matched   OICR   pT2a                                    90.9   \n",
       "4  Male         Matched   OICR   pT2b                                    94.1   \n",
       "\n",
       "  TMB (nonsynonymous)  \n",
       "0            3.433333  \n",
       "1            1.266667  \n",
       "2            1.133333  \n",
       "3                 NaN  \n",
       "4            2.600000  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "8c5e75a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "corelation =new.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "9e15e379",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<function matplotlib.pyplot.show(close=None, block=None)>"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(corelation, annot=True)\n",
    "plt.show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "8f79f44e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new.boxplot(column=[\"Diagnosis Age\", \"BCR Status\", \"ETS Status\", \"Localized Tumor\", \"Median Purity\", \"Mutation Count\", \"Preop PSA\", \"Number of Samples Per Patient\", \"Time from Surgery to BCR/Last Follow Up\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "2fdcb0c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "new.boxplot(column=[\"Diagnosis Age\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "f1ffca44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x15251ed4760>"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(new['Diagnosis Age'], bins=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4e013df9",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fast_ml.model_development import train_valid_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "d5d27b7f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: fast_ml in c:\\users\\admin\\anaconda3\\lib\\site-packages (3.68)Note: you may need to restart the kernel to use updated packages.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "pip install fast_ml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "ee03c384",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fast_ml.model_development import train_valid_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "3a5e59af",
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train, y_train, X_valid, y_valid, X_test, y_test = train_valid_test_split(data, target = 'Preop PSA', train_size=0.8, \n",
    "                                                                            valid_size=0.1, test_size=0.1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "54f8d3b9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(259, 25)\n",
      "(259,)\n",
      "(32, 25)\n",
      "(32,)\n",
      "(33, 25)\n",
      "(33,)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(None, None)"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(X_train.shape), print(y_train.shape)\n",
    "print(X_valid.shape), print(y_valid.shape)\n",
    "print(X_test.shape), print(y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "d8d70dc3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: scikit-learn in c:\\users\\admin\\anaconda3\\lib\\site-packages (1.0.2)\n",
      "Requirement already satisfied: scipy>=1.1.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from scikit-learn) (1.9.1)\n",
      "Requirement already satisfied: numpy>=1.14.6 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from scikit-learn) (1.21.5)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from scikit-learn) (2.2.0)\n",
      "Requirement already satisfied: joblib>=0.11 in c:\\users\\admin\\anaconda3\\lib\\site-packages (from scikit-learn) (1.1.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    }
   ],
   "source": [
    "pip install scikit-learn"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "id": "2b5a13bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "id": "fb0fe457",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix             "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "id": "d1bc8cf0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.optimize import curve_fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "id": "1719c584",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x15258afffd0>]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "xdata = [ -10.0, -9.0, -8.0, -7.0, -6.0, -5.0, -4.0, -3.0, -2.0, -1.0, 0.0, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0]\n",
    "ydata = [1.2, 4.2, 6.7, 8.3, 10.6, 11.7, 13.5, 14.5, 15.7, 16.1, 16.6, 16.0, 15.4, 14.4, 14.2, 12.7, 10.3, 8.6, 6.1, 3.9, 2.1]\n",
    "\n",
    "\n",
    "#Recast xdata and ydata into numpy arrays so we can use their handy features\n",
    "xdata = np.asarray(xdata)\n",
    "ydata = np.asarray(ydata)\n",
    "plt.plot(xdata, ydata, 'o')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "id": "a6ba0e23",
   "metadata": {},
   "outputs": [],
   "source": [
    "def Gauss(x, A, B):\n",
    "    y = A*np.exp(-1*B*x**2)\n",
    "    return y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "id": "806c1415",
   "metadata": {},
   "outputs": [],
   "source": [
    "parameters, covariance = curve_fit(Gauss, xdata, ydata)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "id": "75e3f803",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "16.934286340519687\n",
      "0.015739600927241554\n"
     ]
    }
   ],
   "source": [
    "fit_A = parameters[0]\n",
    "fit_B = parameters[1]\n",
    "print(fit_A)\n",
    "print(fit_B)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 164,
   "id": "31bff81a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1525a715b20>"
      ]
     },
     "execution_count": 164,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fit_y = Gauss(xdata, fit_A, fit_B)\n",
    "plt.plot(xdata, ydata, 'o', label='data')\n",
    "plt.plot(xdata, fit_y, '-', label='fit')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 173,
   "id": "2f81aa38",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import classification_report"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "id": "42a3b5c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confusion matrix : \n",
      " [[2 2]\n",
      " [1 5]]\n",
      "Outcome values : \n",
      " 2 2 1 5\n",
      "Classification report : \n",
      "               precision    recall  f1-score   support\n",
      "\n",
      "           1       0.67      0.50      0.57         4\n",
      "           0       0.71      0.83      0.77         6\n",
      "\n",
      "    accuracy                           0.70        10\n",
      "   macro avg       0.69      0.67      0.67        10\n",
      "weighted avg       0.70      0.70      0.69        10\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# actual values\n",
    "actual = [1,0,0,1,0,0,1,0,0,1]\n",
    "# predicted values\n",
    "predicted = [1,0,0,1,0,0,0,1,0,0]\n",
    "\n",
    "# confusion matrix\n",
    "matrix = confusion_matrix(actual,predicted, labels=[1,0])\n",
    "print('Confusion matrix : \\n',matrix)\n",
    "\n",
    "# outcome values order in sklearn\n",
    "tp, fn, fp, tn = confusion_matrix(actual,predicted,labels=[1,0]).reshape(-1)\n",
    "print('Outcome values : \\n', tp, fn, fp, tn)\n",
    "\n",
    "# classification report for precision, recall f1-score and accuracy\n",
    "matrix = classification_report(actual,predicted,labels=[1,0])\n",
    "print('Classification report : \\n',matrix)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fb6bc77b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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