{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19", "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5", "execution": { "iopub.execute_input": "2022-09-30T13:15:51.838722Z", "iopub.status.busy": "2022-09-30T13:15:51.837971Z", "iopub.status.idle": "2022-09-30T13:15:52.692091Z", "shell.execute_reply": "2022-09-30T13:15:52.691024Z", "shell.execute_reply.started": "2022-09-30T13:15:51.838622Z" }, "papermill": { "duration": 0.874691, "end_time": "2021-06-09T16:17:18.981802", "exception": false, "start_time": "2021-06-09T16:17:18.107111", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# importing basic libraries\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.693819Z", "iopub.status.busy": "2022-09-30T13:15:52.693479Z", "iopub.status.idle": "2022-09-30T13:15:52.719927Z", "shell.execute_reply": "2022-09-30T13:15:52.719018Z", "shell.execute_reply.started": "2022-09-30T13:15:52.693785Z" }, "papermill": { "duration": 0.087749, "end_time": "2021-06-09T16:17:19.116128", "exception": false, "start_time": "2021-06-09T16:17:19.028379", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# loading the dataset\n", "df = pd.read_csv('../input/heart-disease-dataset/heart.csv')" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.722094Z", "iopub.status.busy": "2022-09-30T13:15:52.721707Z", "iopub.status.idle": "2022-09-30T13:15:52.751434Z", "shell.execute_reply": "2022-09-30T13:15:52.750441Z", "shell.execute_reply.started": "2022-09-30T13:15:52.722059Z" }, "papermill": { "duration": 0.078318, "end_time": "2021-06-09T16:17:19.242379", "exception": false, "start_time": "2021-06-09T16:17:19.164061", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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agesexcptrestbpscholfbsrestecgthalachexangoldpeakslopecathaltarget
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" ], "text/plain": [ " age sex cp trestbps chol fbs restecg thalach exang oldpeak slope \\\n", "0 52 1 0 125 212 0 1 168 0 1.0 2 \n", "1 53 1 0 140 203 1 0 155 1 3.1 0 \n", "2 70 1 0 145 174 0 1 125 1 2.6 0 \n", "3 61 1 0 148 203 0 1 161 0 0.0 2 \n", "4 62 0 0 138 294 1 1 106 0 1.9 1 \n", "\n", " ca thal target \n", "0 2 3 0 \n", "1 0 3 0 \n", "2 0 3 0 \n", "3 1 3 0 \n", "4 3 2 0 " ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.753223Z", "iopub.status.busy": "2022-09-30T13:15:52.752919Z", "iopub.status.idle": "2022-09-30T13:15:52.768981Z", "shell.execute_reply": "2022-09-30T13:15:52.767875Z", "shell.execute_reply.started": "2022-09-30T13:15:52.753192Z" }, "papermill": { "duration": 0.066847, "end_time": "2021-06-09T16:17:19.356643", "exception": false, "start_time": "2021-06-09T16:17:19.289796", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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agesexcptrestbpscholfbsrestecgthalachexangoldpeakslopecathaltarget
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" ], "text/plain": [ " age sex cp trestbps chol fbs restecg thalach exang oldpeak \\\n", "1020 59 1 1 140 221 0 1 164 1 0.0 \n", "1021 60 1 0 125 258 0 0 141 1 2.8 \n", "1022 47 1 0 110 275 0 0 118 1 1.0 \n", "1023 50 0 0 110 254 0 0 159 0 0.0 \n", "1024 54 1 0 120 188 0 1 113 0 1.4 \n", "\n", " slope ca thal target \n", "1020 2 0 2 1 \n", "1021 1 1 3 0 \n", "1022 1 1 2 0 \n", "1023 2 0 2 1 \n", "1024 1 1 3 0 " ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.tail()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.771273Z", "iopub.status.busy": "2022-09-30T13:15:52.770816Z", "iopub.status.idle": "2022-09-30T13:15:52.781354Z", "shell.execute_reply": "2022-09-30T13:15:52.780181Z", "shell.execute_reply.started": "2022-09-30T13:15:52.771228Z" }, "papermill": { "duration": 0.055956, "end_time": "2021-06-09T16:17:19.460181", "exception": false, "start_time": "2021-06-09T16:17:19.404225", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "(1025, 14)" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.shape" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.783925Z", "iopub.status.busy": "2022-09-30T13:15:52.783302Z", "iopub.status.idle": "2022-09-30T13:15:52.808120Z", "shell.execute_reply": "2022-09-30T13:15:52.807158Z", "shell.execute_reply.started": "2022-09-30T13:15:52.783880Z" }, "papermill": { "duration": 0.072502, "end_time": "2021-06-09T16:17:19.689563", "exception": false, "start_time": "2021-06-09T16:17:19.617061", "status": "completed" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1025 entries, 0 to 1024\n", "Data columns (total 14 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 age 1025 non-null int64 \n", " 1 sex 1025 non-null int64 \n", " 2 cp 1025 non-null int64 \n", " 3 trestbps 1025 non-null int64 \n", " 4 chol 1025 non-null int64 \n", " 5 fbs 1025 non-null int64 \n", " 6 restecg 1025 non-null int64 \n", " 7 thalach 1025 non-null int64 \n", " 8 exang 1025 non-null int64 \n", " 9 oldpeak 1025 non-null float64\n", " 10 slope 1025 non-null int64 \n", " 11 ca 1025 non-null int64 \n", " 12 thal 1025 non-null int64 \n", " 13 target 1025 non-null int64 \n", "dtypes: float64(1), int64(13)\n", "memory usage: 112.2 KB\n" ] } ], "source": [ "#concise summary of our dataset.\n", "df.info()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.809721Z", "iopub.status.busy": "2022-09-30T13:15:52.809415Z", "iopub.status.idle": "2022-09-30T13:15:52.868009Z", "shell.execute_reply": "2022-09-30T13:15:52.866889Z", "shell.execute_reply.started": "2022-09-30T13:15:52.809692Z" }, "papermill": { "duration": 0.112222, "end_time": "2021-06-09T16:17:23.290315", "exception": false, "start_time": "2021-06-09T16:17:23.178093", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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countmeanstdmin25%50%75%max
age1025.054.4341469.07229029.048.056.061.077.0
sex1025.00.6956100.4603730.00.01.01.01.0
cp1025.00.9424391.0296410.00.01.02.03.0
trestbps1025.0131.61170717.51671894.0120.0130.0140.0200.0
chol1025.0246.00000051.592510126.0211.0240.0275.0564.0
fbs1025.00.1492680.3565270.00.00.00.01.0
restecg1025.00.5297560.5278780.00.01.01.02.0
thalach1025.0149.11414623.00572471.0132.0152.0166.0202.0
exang1025.00.3365850.4727720.00.00.01.01.0
oldpeak1025.01.0715121.1750530.00.00.81.86.2
slope1025.01.3853660.6177550.01.01.02.02.0
ca1025.00.7541461.0307980.00.00.01.04.0
thal1025.02.3239020.6206600.02.02.03.03.0
target1025.00.5131710.5000700.00.01.01.01.0
\n", "
" ], "text/plain": [ " count mean std min 25% 50% 75% max\n", "age 1025.0 54.434146 9.072290 29.0 48.0 56.0 61.0 77.0\n", "sex 1025.0 0.695610 0.460373 0.0 0.0 1.0 1.0 1.0\n", "cp 1025.0 0.942439 1.029641 0.0 0.0 1.0 2.0 3.0\n", "trestbps 1025.0 131.611707 17.516718 94.0 120.0 130.0 140.0 200.0\n", "chol 1025.0 246.000000 51.592510 126.0 211.0 240.0 275.0 564.0\n", "fbs 1025.0 0.149268 0.356527 0.0 0.0 0.0 0.0 1.0\n", "restecg 1025.0 0.529756 0.527878 0.0 0.0 1.0 1.0 2.0\n", "thalach 1025.0 149.114146 23.005724 71.0 132.0 152.0 166.0 202.0\n", "exang 1025.0 0.336585 0.472772 0.0 0.0 0.0 1.0 1.0\n", "oldpeak 1025.0 1.071512 1.175053 0.0 0.0 0.8 1.8 6.2\n", "slope 1025.0 1.385366 0.617755 0.0 1.0 1.0 2.0 2.0\n", "ca 1025.0 0.754146 1.030798 0.0 0.0 0.0 1.0 4.0\n", "thal 1025.0 2.323902 0.620660 0.0 2.0 2.0 3.0 3.0\n", "target 1025.0 0.513171 0.500070 0.0 0.0 1.0 1.0 1.0" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#Generating descriptive statistics.\n", "df.describe().T" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051715, "end_time": "2021-06-09T16:17:23.393932", "exception": false, "start_time": "2021-06-09T16:17:23.342217", "status": "completed" }, "tags": [] }, "source": [ "# EDA" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.051715, "end_time": "2021-06-09T16:17:23.49779", "exception": false, "start_time": "2021-06-09T16:17:23.446075", "status": "completed" }, "tags": [] }, "source": [ "`Let's find how many people have heart disease and how many people doesn't have heart disease?`" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.871425Z", "iopub.status.busy": "2022-09-30T13:15:52.871013Z", "iopub.status.idle": "2022-09-30T13:15:52.878889Z", "shell.execute_reply": "2022-09-30T13:15:52.877878Z", "shell.execute_reply.started": "2022-09-30T13:15:52.871391Z" }, "papermill": { "duration": 0.061189, "end_time": "2021-06-09T16:17:23.610914", "exception": false, "start_time": "2021-06-09T16:17:23.549725", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "1 526\n", "0 499\n", "Name: target, dtype: int64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#finging the values\n", "df.target.value_counts()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:52.881138Z", "iopub.status.busy": "2022-09-30T13:15:52.880620Z", "iopub.status.idle": "2022-09-30T13:15:53.071879Z", "shell.execute_reply": "2022-09-30T13:15:53.070840Z", "shell.execute_reply.started": "2022-09-30T13:15:52.881100Z" }, "papermill": { "duration": 0.181323, "end_time": "2021-06-09T16:17:23.845075", "exception": false, "start_time": "2021-06-09T16:17:23.663752", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#plotting bar chart.\n", "fig = df.target.value_counts().plot(kind = 'bar', color=[\"lightblue\", 'lightgreen'])\n", "fig.set_xticklabels(labels=['Has heart disease', \"Doesn't have heart disease\"], rotation=0);\n", "plt.title(\"Heart Disease values\")\n", "plt.ylabel(\"Amount\");" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.073835Z", "iopub.status.busy": "2022-09-30T13:15:53.073369Z", "iopub.status.idle": "2022-09-30T13:15:53.200248Z", "shell.execute_reply": "2022-09-30T13:15:53.199159Z", "shell.execute_reply.started": "2022-09-30T13:15:53.073789Z" }, "papermill": { "duration": 0.371843, "end_time": "2021-06-09T16:17:24.269991", "exception": false, "start_time": "2021-06-09T16:17:23.898148", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#visualizing in Pie chart\n", "labels = \"Has heart disease\", \"Doesn't have heart disease\"\n", "explode = (0, 0)\n", "\n", "fig1, ax1 = plt.subplots()\n", "ax1.pie(df.target.value_counts(), explode=explode, labels=labels, autopct='%1.1f%%',\n", " shadow=True, startangle=90)\n", "ax1.axis('equal')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.054099, "end_time": "2021-06-09T16:17:24.379774", "exception": false, "start_time": "2021-06-09T16:17:24.325675", "status": "completed" }, "tags": [] }, "source": [ "Now let's check how many `Male` and `Female` are in the dataset" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.201878Z", "iopub.status.busy": "2022-09-30T13:15:53.201519Z", "iopub.status.idle": "2022-09-30T13:15:53.208301Z", "shell.execute_reply": "2022-09-30T13:15:53.207590Z", "shell.execute_reply.started": "2022-09-30T13:15:53.201845Z" }, "papermill": { "duration": 0.064769, "end_time": "2021-06-09T16:17:24.49989", "exception": false, "start_time": "2021-06-09T16:17:24.435121", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "1 713\n", "0 312\n", "Name: sex, dtype: int64" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.sex.value_counts()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.209739Z", "iopub.status.busy": "2022-09-30T13:15:53.209346Z", "iopub.status.idle": "2022-09-30T13:15:53.317838Z", "shell.execute_reply": "2022-09-30T13:15:53.316845Z", "shell.execute_reply.started": "2022-09-30T13:15:53.209709Z" }, "papermill": { "duration": 0.208757, "end_time": "2021-06-09T16:17:24.76327", "exception": false, "start_time": "2021-06-09T16:17:24.554513", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "#visualizing in Pie chart\n", "labels = 'Male', 'Female'\n", "explode = (0, 0)\n", "\n", "fig1, ax1 = plt.subplots()\n", "ax1.pie(df.sex.value_counts(), explode=explode, labels=labels, autopct='%1.1f%%',\n", " shadow=True, startangle=90)\n", "ax1.axis('equal')\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.055114, "end_time": "2021-06-09T16:17:24.87482", "exception": false, "start_time": "2021-06-09T16:17:24.819706", "status": "completed" }, "tags": [] }, "source": [ "`Let's find People of which sex has most heart disease?`" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.319323Z", "iopub.status.busy": "2022-09-30T13:15:53.319044Z", "iopub.status.idle": "2022-09-30T13:15:53.368314Z", "shell.execute_reply": "2022-09-30T13:15:53.367168Z", "shell.execute_reply.started": "2022-09-30T13:15:53.319295Z" }, "papermill": { "duration": 0.087278, "end_time": "2021-06-09T16:17:25.017624", "exception": false, "start_time": "2021-06-09T16:17:24.930346", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ "sex 0 1\n", "target \n", "0 86 413\n", "1 226 300" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(df.target, df.sex)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.370155Z", "iopub.status.busy": "2022-09-30T13:15:53.369720Z", "iopub.status.idle": "2022-09-30T13:15:53.536494Z", "shell.execute_reply": "2022-09-30T13:15:53.535356Z", "shell.execute_reply.started": "2022-09-30T13:15:53.370117Z" }, "papermill": { "duration": 0.212383, "end_time": "2021-06-09T16:17:25.28597", "exception": false, "start_time": "2021-06-09T16:17:25.073587", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = sns.countplot(x = 'target', data = df, hue = 'sex')\n", "fig.set_xticklabels(labels=[\"Doesn't have heart disease\", 'Has heart disease'], rotation=0)\n", "plt.legend(['Female', 'Male'])\n", "plt.title(\"Heart Disease Frequency for Sex\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.056738, "end_time": "2021-06-09T16:17:25.399604", "exception": false, "start_time": "2021-06-09T16:17:25.342866", "status": "completed" }, "tags": [] }, "source": [ "`Let's find people of which sex has which type of chest pain most?`" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.538586Z", "iopub.status.busy": "2022-09-30T13:15:53.538169Z", "iopub.status.idle": "2022-09-30T13:15:53.546533Z", "shell.execute_reply": "2022-09-30T13:15:53.545430Z", "shell.execute_reply.started": "2022-09-30T13:15:53.538542Z" }, "papermill": { "duration": 0.066276, "end_time": "2021-06-09T16:17:25.522917", "exception": false, "start_time": "2021-06-09T16:17:25.456641", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0 497\n", "2 284\n", "1 167\n", "3 77\n", "Name: cp, dtype: int64" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#counting values for different chest pain\n", "df.cp.value_counts()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.548524Z", "iopub.status.busy": "2022-09-30T13:15:53.548101Z", "iopub.status.idle": "2022-09-30T13:15:53.693761Z", "shell.execute_reply": "2022-09-30T13:15:53.692804Z", "shell.execute_reply.started": "2022-09-30T13:15:53.548479Z" }, "papermill": { "duration": 0.184396, "end_time": "2021-06-09T16:17:25.76535", "exception": false, "start_time": "2021-06-09T16:17:25.580954", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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" ], "text/plain": [ "cp 0 1 2 3\n", "sex \n", "0 133 57 109 13\n", "1 364 110 175 64" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(df.sex, df.cp)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.722842Z", "iopub.status.busy": "2022-09-30T13:15:53.722493Z", "iopub.status.idle": "2022-09-30T13:15:53.916074Z", "shell.execute_reply": "2022-09-30T13:15:53.915371Z", "shell.execute_reply.started": "2022-09-30T13:15:53.722800Z" }, "papermill": { "duration": 0.24446, "end_time": "2021-06-09T16:17:26.207356", "exception": false, "start_time": "2021-06-09T16:17:25.962896", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = pd.crosstab(df.sex, df.cp).plot(kind = 'bar', color = ['coral', 'lightskyblue', 'plum', 'khaki'])\n", "plt.title('Type of chest pain for sex')\n", "fig.set_xticklabels(labels=['Female', 'Male'], rotation=0)\n", "plt.legend(['pain type 0', 'pain type 1', 'pain type 2', 'pain type 3']);" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.059758, "end_time": "2021-06-09T16:17:26.327475", "exception": false, "start_time": "2021-06-09T16:17:26.267717", "status": "completed" }, "tags": [] }, "source": [ "`Now let's find people with which chest pain are most pron to have heart disease?`" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.917705Z", "iopub.status.busy": "2022-09-30T13:15:53.917256Z", "iopub.status.idle": "2022-09-30T13:15:53.941928Z", "shell.execute_reply": "2022-09-30T13:15:53.940882Z", "shell.execute_reply.started": "2022-09-30T13:15:53.917657Z" }, "papermill": { "duration": 0.082812, "end_time": "2021-06-09T16:17:26.470118", "exception": false, "start_time": "2021-06-09T16:17:26.387306", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ "target 0 1\n", "cp \n", "0 375 122\n", "1 33 134\n", "2 65 219\n", "3 26 51" ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(df.cp, df.target)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:53.943533Z", "iopub.status.busy": "2022-09-30T13:15:53.943228Z", "iopub.status.idle": "2022-09-30T13:15:54.222338Z", "shell.execute_reply": "2022-09-30T13:15:54.220956Z", "shell.execute_reply.started": "2022-09-30T13:15:53.943501Z" }, "papermill": { "duration": 0.221618, "end_time": "2021-06-09T16:17:26.752364", "exception": false, "start_time": "2021-06-09T16:17:26.530746", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = sns.countplot(x = 'cp', data = df, hue = 'target')\n", "fig.set_xticklabels(labels=['pain type 0', 'pain type 1', 'pain type 2', 'pain type 3'], rotation=0)\n", "plt.legend(['No disease', 'disease']);" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.061874, "end_time": "2021-06-09T16:17:26.875453", "exception": false, "start_time": "2021-06-09T16:17:26.813579", "status": "completed" }, "tags": [] }, "source": [ "Now let's take look at our age column." ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:54.224294Z", "iopub.status.busy": "2022-09-30T13:15:54.223897Z", "iopub.status.idle": "2022-09-30T13:15:54.609476Z", "shell.execute_reply": "2022-09-30T13:15:54.608332Z", "shell.execute_reply.started": "2022-09-30T13:15:54.224259Z" }, "papermill": { "duration": 0.3809, "end_time": "2021-06-09T16:17:27.316951", "exception": false, "start_time": "2021-06-09T16:17:26.936051", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "#create a distribution plot with normal distribution curve\n", "sns.displot( x = 'age', data = df, bins = 30, kde = True)\n", "skewness=str(df[\"age\"].skew())\n", "kurtosis=str(df[\"age\"].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"))\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.06151, "end_time": "2021-06-09T16:17:27.440375", "exception": false, "start_time": "2021-06-09T16:17:27.378865", "status": "completed" }, "tags": [] }, "source": [ "Let's plot another distribution plot for `Maximum heart rate`" ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:54.611188Z", "iopub.status.busy": "2022-09-30T13:15:54.610869Z", "iopub.status.idle": "2022-09-30T13:15:54.996837Z", "shell.execute_reply": "2022-09-30T13:15:54.995738Z", "shell.execute_reply.started": "2022-09-30T13:15:54.611155Z" }, "papermill": { "duration": 0.380979, "end_time": "2021-06-09T16:17:27.883219", "exception": false, "start_time": "2021-06-09T16:17:27.50224", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.displot(x = 'thalach', data = df, bins = 30, kde = True, color = 'chocolate')\n", "skewness=str(df[\"thalach\"].skew())\n", "kurtosis=str(df[\"thalach\"].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"))\n", "plt.show();" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.063704, "end_time": "2021-06-09T16:17:28.010108", "exception": false, "start_time": "2021-06-09T16:17:27.946404", "status": "completed" }, "tags": [] }, "source": [ "`Now let's observe Age vs Maximum heart rate when people have heart disease.`" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:55.000649Z", "iopub.status.busy": "2022-09-30T13:15:55.000356Z", "iopub.status.idle": "2022-09-30T13:15:55.228183Z", "shell.execute_reply": "2022-09-30T13:15:55.227204Z", "shell.execute_reply.started": "2022-09-30T13:15:55.000620Z" }, "papermill": { "duration": 0.281835, "end_time": "2021-06-09T16:17:28.354766", "exception": false, "start_time": "2021-06-09T16:17:28.072931", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Creating a figure\n", "plt.figure(figsize=(10,6))\n", "\n", "#plotting the values for people who have heart disease\n", "plt.scatter(df.age[df.target==1], \n", " df.thalach[df.target==1], \n", " c=\"tomato\")\n", "\n", "#plotting the values for people who doesn't have heart disease\n", "plt.scatter(df.age[df.target==0], \n", " df.thalach[df.target==0], \n", " c=\"lightgreen\")\n", "\n", "# Addind info\n", "plt.title(\"Heart Disease w.r.t Age and Max Heart Rate\")\n", "plt.xlabel(\"Age\")\n", "plt.legend([\"Disease\", \"No Disease\"])\n", "plt.ylabel(\"Max Heart Rate\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.065754, "end_time": "2021-06-09T16:17:28.485539", "exception": false, "start_time": "2021-06-09T16:17:28.419785", "status": "completed" }, "tags": [] }, "source": [ "Let's make a density curve for visualizing the distribution of `age` and `thalach`(Maximum Heart Rate) observations in our dataset. " ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:55.230699Z", "iopub.status.busy": "2022-09-30T13:15:55.230380Z", "iopub.status.idle": "2022-09-30T13:15:56.333388Z", "shell.execute_reply": "2022-09-30T13:15:56.332403Z", "shell.execute_reply.started": "2022-09-30T13:15:55.230660Z" }, "papermill": { "duration": 1.161802, "end_time": "2021-06-09T16:17:29.710928", "exception": false, "start_time": "2021-06-09T16:17:28.549126", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(x = 'age', y = 'thalach', data = df, color = 'darkcyan');" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.065865, "end_time": "2021-06-09T16:17:29.842569", "exception": false, "start_time": "2021-06-09T16:17:29.776704", "status": "completed" }, "tags": [] }, "source": [ "Let's see a distribution plot for `number of people with heart disease` vs `max heart rate`" ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:56.335017Z", "iopub.status.busy": "2022-09-30T13:15:56.334719Z", "iopub.status.idle": "2022-09-30T13:15:56.692117Z", "shell.execute_reply": "2022-09-30T13:15:56.690975Z", "shell.execute_reply.started": "2022-09-30T13:15:56.334989Z" }, "papermill": { "duration": 0.373099, "end_time": "2021-06-09T16:17:30.282046", "exception": false, "start_time": "2021-06-09T16:17:29.908947", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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cXC0uLtYBAwbo999/r4cOHdKBAwfqli1bVFV1woQJes0116iqatu2bfXgwYNl61JVHTt2rM6YMUNVVfPz87WwsPCo7dm+fbuqqu7fv19TU1N127ZtqqoK6KRJk1RV9a677tK///3vqqp61llnlW3f+PHjtVGjRkctc82aNZqamqpZWVmakZGhmZmZqqp61VVX6QcffFA2Xem806ZN06ioKF29evVh8/vu85EjR2pRUZFu2rRJ27dvrxs3btR//OMf+uCDD6qqalFRke7Zs6fsWGzdurXCY1VdqvN7ZYyP485/diYNpKenM3XqVP7whz/w/fffExPzyzs5zz77bK655hquvPJKAKZMmcIjjzxCRkYGQ4cO5eDBg6xbt44hQ4bw3XffMXPmTMaMGcPevXvZv38/a9asoUuXLgD079+f+Ph4QkJCyMjIICcnh+XLl7N48WJOO+00MjIyePDBB1m/fj0APXr04Fe/+hVvvfUWYWFOlfZBgwZx++238/TTT7Nr166y4b6efvrpsrPl3NxcVqxYAUBERARjx44FoE+fPuTk5AAwc+ZMLr30UgCuuOKKCvfT1q1bOfvss3n77bfp2bNnlfu1f//+FdY5njFjBpdeeimhoaG0bt2aU089ldmzZ9OvXz9effVV/vKXv7Bo0SIaNz78HZ2VHStj6iJL0kBKSgrz5s0ru9wvLaoAJyl+8cUXZUUTqsqHH35IZmYmmZmZrFu3jm7dutGvXz/mzJnD999/zymnnEKvXr148cUX6dOnT9myGjRoUNYfGhpKUVERqkpqamrZ8hYtWsSUKVMA+Oyzz7jpppuYN28e/fr1o6ioiHvuuYeXXnqJAwcOMGjQILKysg7blunTp/PVV1/x448/smDBAnr16lVW9zc8PLysmlnp+kv5U/0sJiaGhIQEZsyYUTYsLCyMkhLnZcglJSUcOvTLe1wbNWpU5TKPdMopp/Ddd98RFxfH1VdfzRtvvHHY+MqOlYGEhHhE5Li6hIT4qldgalytfeKwOm3cuJHY2Fguv/xymjZtyksv/fJ+0L/97W/87W9/46abbuI///kPo0aN4t///jf//ve/ERHmz59Pr169iIiIoH379nzwwQfcf//9bN26lTvvvJM777yz0nV36dKFrVu38uOPPzJw4EAKCwvJzs6mW7du5ObmMmzYMAYPHsyECRPYu3cv27dvJz09nfT0dGbPnk1WVhZdu3YtW97u3btp1qwZUVFRZGVl8dNPR77I+GiDBg1iwoQJXH755bz99tsVThcREcF///tfRo0aRXR0NJdddhmJiYnMnTuXiy66iEmTJlFYWFjuvI0bNz6s/HzIkCE8//zzXHXVVezYsYPvvvuOxx9/nLVr1xIfH8/1119PQUEB8+bNK7uKqepYGcjN3cC0aQ8c17zDhv21mqMx1cGSNLBo0SLuuusuQkJCCA8P59lnnz1s/FNPPcW1117L3XffzV//+lduu+02evToQUlJCUlJSUyePBlwEs/XX39Nw4YNGTJkCOvXr2fIkCGVrjsiIoKJEydyyy23sHv3boqKirjttttISUnh8ssvZ/fu3agqt9xyC02bNuW+++5j2rRphISEkJqayhlnnHHY8kaPHs1zzz1Ht27d6NKlCwMGDKhy+5966ikuu+wyHn30Uc4+++xKp23UqBGTJ0/mtNNOIzo6muuvv56zzz6bnj17Mnr06ArPnps3b86gQYNIS0vjjDPO4LHHHuPHH3+kZ8+eiAiPPfYYbdq04fXXX+fxxx8nPDyc6Ojoo86kqzpWxtQ1teIdh3379tU5c+YcNmzZsmV069bNo4hMXVXbv1cickJn0rUhH9RSdfvNLMYYU19ZkjbGmCBmSdoYY4KYJWljjAlilqSNMSaIWZI2xpggZkm6GpTWY05OTqZHjx7Mmzev3OkOHTrEDTfcQEpKCl27duXDDz8E4Pe//31Zo0kpKSmHtfb2+uuv07lzZzp37szrr78OwP79+xkzZgxdu3YlNTWVe+65p2z65557jvT0dDIyMhg8eDBLly4FnKZGGzZsWLae3/72t2XzvPfee/To0YPU1FT+8Ic/HBX3hx9+iIhQWg1y+/btDBs2jOjoaG6++ebDpn333XdJT0+nR48ejB49uqyp18zMTAYMGEBGRgZ9+/Zl1qxZgPPwzVlnnUXPnj1JTU3l1VdfBWDt2rX07t2bjIwMUlNTee6556rc9orirWzbjQl6J9LwR011gW5g6UR99tlnOnr0aC0pKdEff/xR+/fvX+50999/v/75z39WVdXi4mLdunXrUdM8/fTTZQ0sbd++XZOSknT79u26Y8cOTUpK0h07dui+ffv0m2++UVXVgoICHTx4sH7++eeqqrp79+6yZX3yySc6atQoVT26gaNS27Zt0/bt25c18HTllVfqV199VTZ+z549OmTIED3ppJN09uzZqqq6d+9e/f777/XZZ5/Vm266qWzawsJCbdmyZdl23XXXXfrAAw+oquppp51WFuNnn32mp556qqqqPvTQQ3r33XerquqWLVu0WbNmWlBQoAUFBWWNS+Xn52uHDh10w4YNlW57RfFWtO3lCabv1fEAdNq0B46rc9KBCRBrYMlLn3zyCVdeeSUiwoABA9i1a1dZc6O+XnnlFf74xz8CEBISQosWLY6a5t133y1r7OjLL7/ktNNOIzY2lmbNmnHaaafxxRdfEBUVxbBhwwDnicXevXuXNcrUpEmTsmXt27evyjY5Vq9eTefOnWnZsiUAI0eOLDvDB7jvvvv4wx/+QGRkZNmwRo0aMXjw4MOGwS8/+Pv27UNV2bNnD+3atQOchyz27NkDOGfPvsPz8/NRVfbu3UtsbCxhYWFERESUtXVSUFBQ1j5IZdteUbzG1GZ14rHwL764jU2bMqt1mW3aZDB69JN+Tbthwwbat29f9jk+Pp4NGzbQtm3bsmGlbxW57777mD59Op06dWL8+PG0bt26bJq1a9eyZs0ahg8fXulyfe3atYtPP/2UW2+9tWzYM888w7/+9S8OHTrEN998UzZ8zZo19OrViyZNmvDggw8yZMgQkpOTWb58OTk5OcTHx/Pxxx+XNZI0b948cnNzGTNmDI8//niV+6H0Me309HQaNWpE586deeaZZwB48sknGTVqFHfeeSclJSX88MMPANx8882MGzeOdu3akZ+fz3vvvUdIiHPuULrulStX8vjjj5cl9oq2vbJ4y9t2Y2oDO5OuIUVFRaxfv56TTz6ZefPmMXDgwKMaX5owYQIXXHABoaGhfi/z0ksv5ZZbbqFjx45lw2+66SZWrVrFo48+yoMPPghA27ZtWbduHfPnz+df//oXl112GXv27KFZs2Y8++yzXHzxxQwZMoTExERCQ0MpKSnh9ttv55///Kff21hYWMizzz7L/Pnz2bhxIz169ODhhx8G4Nlnn+WJJ54gNzeXJ554gl//+teAc7WQkZHBxo0byczM5Oabby47427fvj0LFy5k5cqVvP7662UvKShv2yuLt6JtN6Y2qBNn0v6e8VanZ555hhdffBGAfv36kZubWzZu/fr1xMXFHTZ98+bNiYqK4rzzzgPgwgsv5OWXXz5smgkTJpSdeQLExcUxffr0w5Y7dOjQss833HADnTt35rbbbis3xksuuYQbb7wRcJpJLS0+6NOnD506dSI7O5u+ffty1llncdZZZwHwwgsvEBoaSn5+PosXLy5b36ZNmxg3bhyTJk2ib9++5a4vMzMTgE6dOgFw0UUX8cgjjwDODdCnnnqqbNuvu+46AF599VXuueceRITk5GSSkpLIysqif//+Zctt165d2VtaLrjggnK3vap4K9p2Y4KdnUkfp5tuuqmsDehzzjmHN954A1Xlp59+IiYm5rCiDnDKXs8666yypPv111/TvXv3svFZWVns3LmTgQMHlg0bNWoUU6ZMYefOnezcuZMpU6YwatQoAO699152797Nk08+edh6Shv4B6c96s6dOwNOg/3FxcWAUw69YsWKsrPvLVu2ALBz507+85//cN111xETE8O2bdvIyckhJyeHAQMGVJqgwflRWbp0KVu3bgVg6tSpZY0VtWvXjm+//RaAb775piyuhIQEvv76awA2b97M8uXL6dixI+vXr+fAgQNlcc2YMaPs5QnlbXtl8Va27cYEuzpxJu21M888k88//5zk5GSioqLKqpEBZGRklJ1hPvroo1xxxRXcdttttGzZ8rDpJkyYwCWXXHLYjb7Y2Fjuu+8++vXrBzjvS4yNjWX9+vU89NBDdO3ald69ewNO2e51113H+PHj+eqrrwgPD6dZs2Zl1fa+++477r//fsLDwwkJCeG5554jNjYWgFtvvZUFCxaUrSMlJaXKbU5MTGTPnj0cOnSIjz/+mClTptC9e3ceeOABTjnlFMLDw+nQoQOvvfYaAC+++CK33norRUVFREZGlr178b777uPqq68mPT0dVeXRRx+lRYsWTJ06lTvuuAMRQVW58847SU9Pr3TbK1LZthsT7KypUmN81PbvlTVVGrSsqVJjjKmLLEkbY0wQsyRtjDFBzJK0McYEsYAmaRH5vYgsEZHFIvKuiESKSJKI/CwiK0XkPRGJCGQMxhhTmwUsSYtIHHAL0FdV04BQ4BLgUeAJVU0GdgK/DlQMxhhT2wW6uCMMaCgiYUAUkAcMBya6418HzqmOFSUkxCMi1dYlJMRXuc4vvviCLl26kJycXPZkna+Kmg09dOgQ11xzDenp6fTs2fOwpwpLjRs3jrS0tLLPF198cVlTm4mJiWRkZJSNW7hwIQMHDiQ1NZX09HQOHjxYtp7ymkYFeP/99+nevTupqalcdtllAEybNq1sHRkZGURGRvLxxx8DMH78eJKTkxGRsuZHwXkIZ+DAgTRo0IB//OMfR21HcXExvXr1YuzYsWXDhgwZUraOdu3acc455wCVN/k6evRomjZtethyfN1yyy1ER0cfNqy8bTSmtgnYwyyqukFE/gGsAw4AU4C5wC5VLXInWw/EVbCIY5Kbu+G464eWZ9iwv1Y6vri4mJtuuompU6cSHx9Pv379GDdu3GFPEV522WVlbRdPmjSJ22+/nS+++KLscfJFixaxZcsWzjjjDGbPnl3WsNBHH310VMJ57733yvrvuOMOYmJiAKcNi8svv5w333yTnj17sn37dsLDwwF46KGHaNWqFdnZ2ZSUlLBjxw7AeSrx4YcfZubMmTRr1qzsicNhw4aVPXizY8cOkpOTOf300wEYNGgQY8eOPeyxdHAeuHn66afLkvmRnnrqKbp163ZYWxnff/99Wf/555/P2WefDcD//vc/VqxYwYoVK/j555+58cYb+fnnnwG466672L9/P88///xR65gzZw47d+48bFhF22hMbRPI4o5mwNlAEtAOaASMPob5bxCROSIyp/Qx42Aya9YskpOT6dixIxEREVxyySV88sknh01TUbOhS5cuLWvprlWrVjRt2rSsgfq9e/fyr3/9i3vvvbfc9aoq77//fllzplOmTKFHjx707NkTcNoIKW2gqaKmUV988UVuuukmmjVrVhbDkSZOnMgZZ5xBVFQUAL169SIxMfGo6Vq1akW/fv3Kfhh8rV+/ns8++6zCpwH37NnDN998U3YmXVmTryNGjKBx48ZHLaO4uJi77rqLxx577LDh/myjMbVBIIs7RgJrVHWrqhYCHwGDgKZu8QdAPLChvJlV9QVV7auqfUvbOg4m/jQjCk5DTJ06deLuu+/m6aefBqBnz55MmjSJoqIi1qxZw9y5c8saaLrvvvu44447ypLjkb7//ntat25d1vZFdnY2IsKoUaPo3bt3WbLybRq1d+/eXHjhhWWtyGVnZ5Odnc2gQYMYMGAAX3zxxVHrmTBhQtkPwfG67bbbeOyxx8quEI708ccfM2LEiLIfM3/3qa/x48czbty4o9pK8WcbjakNApmk1wEDRCRKnFPIEcBSYBpwgTvNVcAnFcxfJ5TXbOi1115LfHw8ffv25bbbbuPkk08mNDSUzMxMVq1axbnnnlvh8nxfCgBOcceMGTN4++23mTFjBv/973/5+uuvK20ataioiBUrVjB9+nTeffddrr/++rKkDpCXl8eiRYvKGnM6HpMnT6ZVq1b06dPH7205Vhs3buSDDz7gd7/73VHjqtpGY2qLgCVpVf0Z5wbhPGCRu64XgD8At4vISqA58HKFCwlicXFxVTZP6uuSSy4pK7cNCwvjiSeeIDMzk08++YRdu3aRkpLCjz/+yJw5c0hMTGTw4MFkZ2cfVgZcVFTERx99xMUXX1w2LD4+nlNOOYUWLVoQFRXFmWeeybx588ptGrX0Rlx8fDzjxo0jPDycpKQkUlJSDms97/333+fcc88ttwjDXzNnzmTSpEkkJiZyySWX8M0333D55ZeXjd+2bRuzZs1izJgxZcOOdZ/Onz+flStXkpycTGJiIvv37yc5OdmvbTSmtgho7Q5VfUBVu6pqmqpeoaoFqrpaVfurarKqXqiqBYGMIVD69evHihUrWLNmDYcOHWLChAmMGzfusGkqajZ0//797Nu3D3Ca8wwLC6N79+7ceOONbNy4kZycHGbMmEFKSsphNT+++uorunbtSnz8LzVPRo0axaJFi9i/fz9FRUV8++23dO/evdKmUc8555yy4du2bSM7O/uwpjtP9AwX4OGHH2b9+vXk5OQwYcIEhg8fzltvvVU2fuLEiYwdO/aw11yNGzeuyiZffY0ZM4ZNmzaVNU8aFRXFypUr/dpGY2qLOtNUafv2cVXWyDjW5VUmLCyM8ePHM2rUKIqLi7n22mtJTU3l/vvvp2/fvowbN67CZkO3bNnCqFGjCAkJIS4ujjfffNOvmMorJ27WrBm33347/fr1Q0Q488wzy85OK2oatbSd6u7duxMaGsrjjz9O8+bNAefN2rm5uZx66qmHrefpp5/mscceY9OmTfTo0YMzzzyTl156iU2bNtG3b1/27NlDSEgITz75JEuXLj3spmlF23Lkm74ra/J1yJAhZGVlsXfvXuLj43n55ZcrLY6pbBuNqU2sqVJjfNT275U1VRq0rKlSY4ypiyxJG2NMEKvVSdouzUx1su+TCUa1NklHRkayfft2+8cy1UJV2b59+2G1TYwJBrW2dkd8fDzr168nGB8ZN7VTZGTkYdUbjQkGtTZJlz6kYIwxdVmtLe4wxpj6wJK0McYEMUvSxhgTxCxJG2NMELMkbYwxQcyStDHGBDFL0sYYE8QsSRtjTBDzK0mLSAcRGen2NxSRo98IaowxptpVmaRF5Hqc12A97w6KBz4OYEzGGGNc/pxJ34Tzlu89AKq6AmgVyKCMMcY4/EnSBap6qPSDiIQB1vScMcbUAH+S9Lci8iegoYicBnwAfBrYsIwxxoB/SfoeYCuwCPgN8DlwbyCDMsYY46iyqVJVLQFeBF4UkVggXq2lfWOMqRH+1O6YLiJN3AQ9FydZPxH40IwxxvhT3BGjqnuA84A3VPUkYERgwzLGGAP+JekwEWkLXARMDnA8xhhjfPiTpP8GfAmsVNXZItIRWBHYsIwxxoB/Nw4/wKl2V/p5NXB+IIMyxhjjqDJJi0gk8GsgFSh7372qXhvAuIwxxuBfccebQBtgFPAtTtsd+YEMyhhjjMOfJJ2sqvcB+1T1dWAMcFJgwzLGGAP+JelC9+8uEUkDYrAGlowxpkZUWSYNvCAizYD7gElANHB/QKMyxhgD+Fe74yW391ugY2DDMcYY48ufx8Jbi8jLIvI/93N3Efl14EMzxhjjT5n0azgPs7RzP2cDtwUoHmOMMT78SdItVPV9oARAVYuA4oBGZYwxBvAvSe8Tkea4b2MRkQHA7oBGZYwxBvCvdsftOLU6OonITKAlcEFAozLGGAP4V7tjnoicCnQBBFiuqoVVzGaMMaYa+FO740KgoaouAc4B3hOR3oEOzBhjjH9l0vepar6IDMZp7P9l4NnAhmVM7ZeQEI+IHFeXkBDvdfgmSPhTJl1ak2MM8KKqfiYiDwYwJmPqhNzcDUyb9sBxzTts2F+rORpTW/lzJr1BRJ4HLgY+F5EGfs5njDHmBPmTbC/CeZhllKruAmKBuwIZlDHGGEeFSVpEmri9kcB0YLv7xvACYE7gQzMmOBxv2bIx1aGyMul3gLHAXJwHWXy/dYo1tmTqieMtW/anXLm4+BBbty5j585V7N2bR0FBPqDcfju8+uopxMcPoEOHU0hIGEJkZMxxRG9quwqTtKqOdf8m1Vw4xtQPxcWFrF//I7m5P1BcXEBERDSNG8fTtGkSIqHMmfMTqanF/PzzU/zww+OEhISRnHwGPXpcTkrKWYSHN/R6E0wNqTBJV1UXWlXnVX84xtR9+fkbWbbsIw4c2E7z5l2Ijx9ITEzCYUUkn3zyEx9/PJPCwgNs2PAz2dmTWbz4XbKzPyUyshl9+txAv343ERPT3sMtMTWhsuKOf7p/I4G+wAKcIo8eOGXSAwMbmjF1z5YtS8jK+i/h4VH06HEFzZpVXmoYHt6QxMShJCYOZeTIR8nJmcacOc/xww+P88MP/yA9/VJOPfUBYmOTa2gLTE2rrLhjGICIfAT0VtVF7uc04C81Ep0xdUhe3lyysyfTpEkCaWkXEx4edUzzh4SE0rHjSDp2HMmuXWv5+eenmTPnWRYtepeMjKsZNuxvAYrceMmfh1m6lCZoAFVdLCLdAhiTMXXO5s0Lyc6eTGxsZ1JTLyIkxJ9/vYo1bdqBUaP+yaBBdzFjxiPMmfMsS5dOpE8fUFWrXVKH+FNPeqGIvCQiQ93uRWBhoAMzpq7YvXsdy5d/QkxMIt27X3jCCdpXdHQbRo9+khtvXEzbtr056yxYsOB1Dh601oTrCn+S9DXAEuBWt1vqDjPGVKGgYA9LlrxHZGRTUlMvIjQ0PCDrad68M1de+TWffAJ79+Yxd+7z7NqVE5B1mZpVZZJW1YOq+oSqnut2T6jqwZoIzpjaTASWLfuI4uJC0tIuDXi1ORFh/nzo3fsGIiKiWbjwLbZsWRLQdZrAszY4jAmQwYNh9+61pKSMISqqRY2tNyqqORkZ19CkSRzLln3Ili2La2zdpvpZkjYmAPbv38app0LLlqm0bt2zxtcfHt6Q9PTLiYlpT1bWf9mxY2WNx2Cqh7+N/lc5zBjjUFWysydTWAjJyaM9iyM0NJy0tMuIimrJ0qUT2b9/m2exmOPnz5n0H/0cdhQRaSoiE0UkS0SWichAEYkVkakissL92+zYQjYmuG3alMnu3WuZOhUiIqI9jSUsrAFpaZcQEhLKkiXvUVxsb76rbSprBe8MEfk3ECciT/t0rwFFfi7/KeALVe0K9ASWAfcAX6tqZ+Br97MxdcKhQ/tYvXoKMTEdmD/f62gckZFN6dr1PPbv38bq1VO8Dscco8rOpDfiPP59EKclvNJuEjCqqgWLSAxwCs7rtlDVQ2571GcDr7uTvY7z3kRj6oScnGkUFx8iJWUsql5H84vY2E7Exw9g48Y57Ny52utwzDGo7LHwBSKyGKex/9crmq4SScBW4FUR6YmT4G8FWqtqnjvNJqB1eTOLyA3ADQAJCQnHsXpjatb+/dvIy5tHu3Z9a7Q2h78SE4ezbdtyVqz4jL59b6zWh2pM4FRaJq2qxUB7EYk4jmWHAb2BZ1W1F7CPI4o2VFVx2qYub90vqGpfVe3bsmXL41i9MTVr9eqvCQ0Np0OHU70OpVyhoeF07jyGAwd2sG7dTK/DMX7y56d0DTBTRCbhJFoAVPVfVcy3Hlivqj+7nyfiJOnNItJWVfNEpC2w5TjiNiao7N69ju3bs0hMHEZERCOvw6lQbGwnWrToRm7uTNq16+P5jU1TNX9qd6wCJrvTNvbpKqWqm4BcEeniDhqB80j5JOAqd9hVwCfHGLMxQUVVWb36KyIioomPH+B1OFVKShqBajE5OdO9DsX4ocozaVU9kXfL/w542y0uWY3T5kcI8L6I/BpYi/OiW2NqrR07VrJnTy6dO48hNPR4SgZrVlRUc9q27cPGjXNo334QDRtaLdhgVmWSFpGWwN1AKs4LAABQ1eFVzauqmTgvDDjSCP9DNCZ4qSpr135HgwYxtGnTy+tw/JaQMJi8vHnk5s4gJeUsr8MxlfCnuONtIAuntsZfgRxgdgBjMqbW2LUrh/z89SQkDCIkJNTrcPzWoEET2rbtxaZNmdasaZDzJ0k3V9WXgUJV/VZVrwWqPIs2pj5Yu/Y7IiKia9VZdKn27QehqmzY8HPVExvP+JOkS58jzRORMSLSC4gNYEzG1Aq7d69j9+4c2rcfVCvrHEdGNqVly+7k5c2juPiQ1+GYCvjzzXrQfXrwDuDfQBPg9wGNyphaYO3a7wkPj6Jt2z5eh3Lc4uMHsHXrEjZtCpJn2M1R/KndMdnt3Q0MC2w4xtQOe/duZufOlSQlDQ/Y21ZqQpMm8TRuHMfGjXO8DsVUwJ+mSlNE5Gv3EXFEpIeI3Bv40IwJXhs2/ERISDht25ZXeal2adu2N/v3byM+3utITHn8KZN+Eadp0kIAVV0IXBLIoIwJZocO7WXz5kW0aZMR8Fdi1YSWLVMJCQmnd2+vIzHl8SdJR6nqrCOG+dtUqTF1zoYNs1EtJi7uJK9DqRZhYQ1o1SqV1FTnB8gEF3+S9DYR6YTbEJKIXADkVT6LMXVTcXEheXlzaN68C1FRzb0Op9q0adOLBg1gyZIPvA7FHMGfJH0T8DzQVUQ2ALcBNwYyKGOC1ZYtCyks3F8r2ug4Fk2atGfbNsjMfMXrUMwR/KndsRoYKSKNgBBVzQ98WMYEH1Vl/fqfiY5uQ0xMB6/DqVYiwvz50KLFDLZtW06LFl2qnsnUCH9qdzQQkctwGuz/vYjcLyL3Bz40Y4LL7t3r2L9/K+3a9UdEArouESdxHmt3IhYsAJFQFiw4nnd8mEDx52GWT3DqSM8FCgIbjjHBa+PGOYSFRdKqVVrA16UK06Y9cMzzDRt2/I1W7t0LSUnDWLr0A4YPfyjgP0TGP/4k6XhV9e699MYEgUOH9rJt21LatetXqx9eqUr37hcyefJv2Lx5AW3aZHgdjsG/G4c/iEh6wCMxJojl5c1DtYR27Wr/wyuV6dr1XERCWbLkfa9DMa4Kk7SILBKRhcBgYJ6ILBeRhT7DjakXQkIgL28uTZt2DMoXzFanRo1alhV5aDC97rweq6y4Y2yNRWFMEOvcGQoK9pCcXD9K/bp3v4jJk2+wIo8gUeGZtKqurayrySCN8VLv3hAREU3z5vWjWlq3blbkEUz8KZM2pt7Kz99I587QunUGIvXj3yUqqgVJScOtyCNI1I9vnTHHacGCNwkJod5d9nfvfiE7dqxk8+YFXodS71mSNqYCqkpm5iusXUudaqfDH127ngMIWVmfeB1KvefPE4fnicgKEdktIntEJF9E9tREcMZ4KTd3Jtu3ZzO/Hr60pFGjlsTHD2DFislVT2wCyp8z6ceAcaoao6pNVLWxqjYJdGDGeG3+/FeIiIhm6VKvI/FGSspYNm6cQ37+Rq9Dqdf8SdKbVXVZwCMxJogUFOSzZMn7pKZezKF6+o7WlJSzAMjO/szjSOq3yh5mOU9EzgPmiMh7InJp6TB3uDF11tKlH1BYuI9evX7tdSieadUqjZiYDmRnf+p1KPVaZQ+znOXTvx843eezAh8FJCJjgsD8+a/QokXXOtdu9LEQEVJSzmL+/JcpLDxQJ14VVhtVmKRV9RoAERmkqjN9x4nIoEAHZoxXtm1bTm7uTEaOfKzetwSXkjKW2bPHs2bNN6SkjPE6nHrJnzLpf/s5zJg6ITPzVURC6dnzCq9D8Vxi4lAiIqKtyMNDFZ5Ji8hA4GSgpYjc7jOqCRAa6MCM8YJqCYsWvUNy8miio9t4HY7nwsIa0KnT6WRnT0ZV6/2VhRcqO5OOAKJxEnljn24PcEHgQzOm5uXm/sCePbmkpV3qdShBo3PnseTnb2DLlkVeh1IvVVYm/S3wrYi8Zg0qmfpi8eIJhIVF0qXLOK9DCRqdOjl1Blau/ILWrXt4HE39U1kVvCfd3vEiMunIrmbCM6bmlJQUsXTpB6SknEWDBo29DidoNGkSR6tWaaxa9aXXodRLlVXBe9P9+4+aCMQYr+XkTGffvi2kpV3idShBp1On0cya9TSHDu0jIqKR1+HUK5W1Jz3X7Q0DZqnqt75dzYRnTM1ZtOhdIiIak5x8htehBJ3k5FEUFx8iJ2e616HUO/5UwbsSWCAiP4nI4yJylog0C3RgxtSkoqICsrI+omvXc+yhjXIkJAwmLKwhK1d+4XUo9U6VbwtX1asARKQdTq2OZ4B2/sxrTG2xatUUDh7cZbU6KhAWFkli4lArl/aAP02VXi4izwMTgZHAeGBIoAMzpiYtWTKBhg1j6dhxpNehBK3k5NHs2LGCnTvXeB1KveJPcceTQAbwInCLqj6mqj8GMihjalJh4X6ysj6hW7cLCA0N9zqcoNWp0ygAO5uuYVUmaVVtAVwLRAIPicgsEXmzitmMqTWysydTWLjPanVUoXnzFGJiOli5dA3zp7ijCZAAdAASgRigJLBhGVNzFi+eQHR0Wzp0OMXrUIKaiNCp0yhycqZRUlLkdTj1hj/FHTNwmi1dCFysql1KbyYaU9sdPLibFSs+JzX1IkJCrEmaqnTsOIKCgj1s3DjH61DqDX9qd9hzoKbOysr6mOLiAivq8FNS0nAAVq/+ql63tV2T7G3hpl5bsmQCTZsmEhd3kteh1ApRUS1o0yaDNWu+9jqUesOStKm39u/fxqpVU0lNvcSa4DwGSUkjyM39gcLC/V6HUi9Ykjb11tKlE1EttqKOY9Sx40iKiw+xbt0Mr0OpF/yp3ZEiIl+LyGL3cw8RuTfwoRkTWIsXT6BFi67W/OYxSkgYQkhIOKtXW5FHTfDnTPpF4I9AIYCqLgTs1MPUanv2bGDt2u9IS7vUijqOUUREI+LjB1i5dA3xJ0lHqeqsI4ZZJUlTqy1d+gGgpKZe7HUotVJS0gjy8uZx4MAOr0Op8/xJ0ttEpBOgACJyAZAX0KiMCbDFi9+lTZtetGjRxetQaiWnjRNlzZppXodS5/mTpG8Cnge6isgG4DbgxkAGZUwg7dy5mg0bZtkNwxMQF9efiIhoK/KoAf48zLIaGCkijYAQVc0PfFjGBM7ixe8BWFHHCQgNDadDh1NYvforr0Op8ypM0iJyewXDAVDVfwUoJmMCavHid2nf/mSaNu3gdSi1WlLSSFas+Jzdu3OJiWnvdTh1VmXFHY2r6IypdbZsWcKWLYtITbWijhPVseMIACvyCLAKz6RV9a81GYgxNWHJkvcQCSE19UKvQ6n1WrVKIyqqJatXf0VGxtVeh1Nn+fMwS0cR+VREtorIFhH5REQ61kRwxlQnVWXx4gkkJg4jOrqN1+HUeiIhdOw4gjVrvkZVvQ6nzvKndsc7wPtAW5x3G34AvBvIoIwJhLy8eezYscJqdVSjpKQR7N27iW3bsrwOpc7y92GWN1W1yO3ewnlLizG1yuLFEwgJCaNbt/O8DqXOKG26dM2abzyOpO7yJ0n/T0TuEZFEEekgIncDn4tIrIjEBjpAY6pDQkIcX3zxD7KyioiKao6I+N3VFyIc034REWJjO5GfH2o3DwOoynrSwEXu398cMfwSnKcQKy2fFpFQYA6wQVXHikgSMAFoDswFrlDVQ8cUtTHHSGQjMTFw0knncv31x9ag0rBh9eMeuipMm/bAMc/3xBN/pWXL6ZSUFNvbbQLAnxfRJlXS+XMD8VZgmc/nR4EnVDUZ2An8+vhCN8Z/aWkQEhJG8+b2GHh1W7MGDh7cyebNC7wOpU7yp3ZHuIjcIiIT3e5mEfHrvfciEg+MAV5yPwswHJjoTvI6cM5xRW6Mn0pKiujeHWJjUwgLa+B1OHVOTo7z18qlA8OfMulngT7Af9yujzvMH08Cd/PL28WbA7tUtbQVvfVAXHkzisgNIjJHROZs3brVz9UZc7ScnOlERzv1ek31y8+HFi26WpIOEH+SdD9VvUpVv3G7a4B+Vc0kImOBLao693gCU9UXVLWvqvZt2bLl8SzCGAAWLXqXggKIjU32OpQ6KzFxOGvXfkdxsd1eqm7+JOlit6lSwHm4BSj2Y75BwDgRycG5UTgceApoKiKlNyzjgQ3HFLExx6CoqICsrI/IynIaBTKB0bHjCAoL97Fhw2yvQ6lz/EnSdwHTRGS6iHwLfAPcUdVMqvpHVY1X1UScmiDfqOqvgGnABe5kVwGfHFfkxvhh1aopHDy4i8WLvY6kbuvQ4VRArMgjAPyp3fE10Bm4Bfgd0EVVT6Sl7z8At4vISpwy6pdPYFnGVGrJkgk0bBjLqlVeR1K3RUU1p02bDHJyLElXN39qd0ThnE3/zn2/YYJb3uw3VZ2uqmPd/tWq2l9Vk1X1QlUtOK7IjalCYeF+srI+oVu3CygpqXp6c2KSkoaTm/sDhYUHvA6lTvGnuONV4BAw0P28AXgwYBEZU02ysydTWLjP2uqoIUlJwykuPkRu7kyvQ6lT/EnSnVT1MX55W/h+oP48K2tqrcWLJxAd3ZYOHU7xOpR6ISFhCCEhYVYuXc38SdKHRKQhv7yIthNgRRQmqB08uJsVKz4nNfUie1S5hjRo0Ji4uP6WpKuZP0n6AeALoL2IvA18jfOAijFBKyvrY4qLC6yoo4YlJg5n48bZHDy42+tQ6gx/andMBc4DrsZpR7qvqk4PbFjGnJglSyYQE9OBuLiTvA6lXklKGo5qCevWfe91KHWGP2fSAKcCI4BhwJDAhWPMidu/fxurVk0lLe2SetXUaDBo334gYWGRrF5tTZdWF3+q4P0H+C2wCFgM/EZEngl0YMYcr6VLJ6JaTFrapV6HUu+EhUXSvv0gqy9djfxpT3o40E3dl5iJyOvAkoBGZcwJWLx4Ai1adKV162NrN9pUj6Sk4XzzzZ/Zt28rjRpZuzsnyp/ijpVAgs/n9u4wY4LOnj0bWLv2O1JTrajDK6Wv1MrJme5tIHWEP0m6MbDMbbtjGrAUaCIik0RkUmDDM+bYLFnyPqBWq8ND7dr1JSKisVXFqyb+FHfcH/AojKkmixe/Q9u2vWnRwt7A4pWQkDA6dDjF3ntYTapM0qr6bU0EYsyJ2r49m40b53Daaf/wOpR6LylpBCtWfMbu3bnExLT3Opxazd8qeMYEvUWL3gXEijqCwC/l0ifSYKYBS9KmjlBVFi9+h8TEoTRpUu4b2UwNat06nYYNm1u5dDWoMEmLyNfu30drLhxjjk9e3ly2b88mPf0yr0MxgEgISUnDWLPmG9zau+Y4VXYm3VZETsZ5BVYvEent29VUgMb4Y9GidwgJCadbt/O9DsW4EhOHs2dPLjt2WI3dE1HZjcP7gftw3kP4ryPGKc5DLsZ4rqSkmMWLJ9C585k0bNjM63CMq2PHEQCsWfMNzZt39jia2qvCM2lVnaiqZwCPqeqwIzpL0CZorF37LXv35llRR5CJje1M48Zx9oj4CfKnCt7fRWQcUNpy+nRVnRzYsIzx36JF7xAREU1KyjG91c0EmIiQlDSclSu/QLUEEauncDz8aWDpYeBWnCcNlwK3isj/BTowY/xRVFTA0qUT6dbtPMLDo7wOxxwhKWk4+/dvZcsWa+7nePnz0zYGOE1VX1HVV4DRgJ2ymBqXkBCPiBzWpadHUlCwmzvvfOOocb6d8UZpfWmrinf8/HksHKApsMPtjwlMKMZULjd3A9OmPXDYsKVLP2DXrhxefPGOSi+nhw37a6DDM+WIiUkgNjaZNWu+ZsCAW70Op1byJ0k/DMx3G1cSnLLpewIalTF+KCoqYPv2bNq06WXlnUEsMXE4S5ZMoKSkiJAQf88LTSl/Xp/1LjAA+Aj4EBioqu8FOjBjqrJtWxYlJUW0apXudSimEklJwyko2ENe3jyvQ6mV/PpZU9U8wJolNUFly5ZFREY2pUmTeK9DMZVITBwKOOXScXH9vQ2mFrJrRFMrFRTks3Pnalq1SrMbg0EuOro1rVql2c3D42RJ2tRKW7YsBJTWrTO8DsX4ISlpBOvWzaCoqMDrUGqdSpO0iISKSFZNBWOMP1SVTZsW0KRJPFFRzb0Ox/ghKWk4RUUHWL/+J69DqXUqTdKqWgwsF5GEyqYzpibt3ZvH/v1b7Sy6FunQ4RREQqzI4zj4c+OwGbBERGYB+0oHquq4gEVlTCU2bcpEJJRWrVK9DsX4KTKyKW3b9nHb8bA668fCnyR9X8CjMMZPJSVFbNmymBYtuhEWFul1OAYQwa+btyNHwsCB0KCBcOiQM6x9+zjWrVsf4AhrN7/ecSgiHYDOqvqViEQBoYEPzZijbd++gqKiA7Rp09PrUIxLlaOeBC3Pzp2rWbjwTd5551KaN08B7ElQf/jTwNL1wETgeXdQHPBxAGMypkKbN2cSEdGYZs06eh2KOUYxMQmEhISxc+cqr0OpVfypgncTMAjYA6CqK4BWgQzKmPI0auScSbdunW6PgddCISFhNG2aaG9qOUb+fNMLVPVQ6QcRCcN5M4sxNSo9HaxudO3WrFknDhzYwYEDO70OpdbwJ0l/KyJ/AhqKyGnAB8CngQ3LmKNlZEDjxu1o1Kil16GY4xQbmwxgRR7HwJ8kfQ+wFVgE/Ab4HLg3kEEZc6S8vHm0aQOtW9sNw9qsYcPmNGgQY0Uex8Cf2h0lIvI68DNOMcdytXe0mxo2d+6LFBZC69Y9vA7FnAARITY2mS1bFlFSUux1OLWCP7U7xgCrgKeB8cBKETkj0IEZU+rQob0sWvQ2S5ZgdaPrgNjYThQXH2LPHqsf7Q9/Hmb5JzBMVVcCiEgn4DPgf4EMzJhSixe/x6FD+cyd63Ukpjo0bZoEiBV5+MmfMun80gTtWg3kBygeY44yb94LtGyZSm6u15GY6hAWFklMTHu7eeinCpO0iJwnIucBc0TkcxG5WkSuwqnZMbvGIjT12qZNmWzYMIs+fW7wOhRTjZo168TevXk0auR1JMGvsjPps9wuEtgMnAoMxanp0TDgkRmDc8MwLCySHj0u9zoUU41Kq+J16uRxILVAhWXSqnpNTQZizJEKCvJZtOgtune/gIYNY70Ox1Sj6Oi2hIdH0anTfq9DCXpV3jgUkSTgd0Ci7/TWVKkJtAUL3qCgYA/9+t3sdSimmokIzZp1Ijl5Eaol9ph/Jfyp3fEx8DJOWXRJQKMxxqWqzJ49nnbt+hEff5LX4ZgAaNasE1u2LGLTpkzatu3tdThBy58kfVBVnw54JMb4WL36K7Zty+Kcc97wOhQTILGxToH0ihWfW5KuhD/XGE+JyAMiMlBEepd2AY/M1GuzZj1No0atSE29yOtQTIBERESzfj1kZ1tTQJXx50w6HbgCGM4vxR3qfjam2u3cuZrs7M845ZR7CQtr4HU4JoCysyE+fhZ7924iOrqN1+EEJX/OpC8EOqrqqao6zO0sQZuAmTVrPCEhofTt+1uvQzEBtny583fFis+9DSSI+ZOkFwNNAxyHMQAcOLCTefNeJDX1Iho3bud1OCbANm+GJk3aW5FHJfwp7mgKZInIbKCgdKBVwTOBMHv2Mxw6tJdBg+7xOhRTQ1JSxrJgwRsUFR20BrTK4U+SrvoNk8ZUg8LC/fz881N07jyG1q3TvQ7H1JCUlLHMmfMsOTnTSU4e7XU4Qcevt4XXRCDGzJv3Mvv3b2PwYDuLrk+SkoYTHh7F8uWfWpIuhz/tSeeLyB63OygixSKypyaCM/VHcXEhP/74DxISBpOQMNjrcEwNCguLpGPHkaxYMRl7n8jRqkzSqtpYVZuoahOchpXOB/4T8MhMvbJo0dvs3r3OyqLrqZSUcezevY7Nmxd4HUrQOaYH5tXxMTAqMOGY+qioqIDp0/9C27a96dz5TK/DMR7o0uUsREJYtuwjr0MJOv4Ud5zn010gIo8AB/2Yr72ITBORpSKyRERudYfHishUEVnh/m1WDdtharE5c55j9+61jBjxCCLidTjGA40atSIhYYgl6XL4cyZ9lk83CuetLGf7MV8RcIeqdgcGADeJSHect49/raqdga/dz6aeKijYw/ffP0hS0nA6dhzpdTjGQ926ncfWrUvYtm2516EEFX/KpK/x6a5X1YdUdYsf8+Wp6jy3Px9YBsThJPjX3cleB8457uhNrffDD/9k//5tdhZt6Nr1XACysv7rcSTBpcIqeCJyfyXzqar+3d+ViEgi0Av4GWitqnnuqE1A6wrmuQG4ASAhIcHfVZlaZO/ezfz44z/p3v0C4uL6eR2O8VhMTHvatevHsmUfWjVMH5WdSe8rpwP4NfAHf1cgItHAh8BtqnpY1T116tuUW+dGVV9Q1b6q2rdly5b+rs7UIlOm3EFx8SGGDXvQ61BMkOjW7Xw2bpzD7t3rvA4laFSYpFX1n6Ud8AJO9btrgAlAR38WLiLhOAn6bVUtvSOwWUTauuPbAlUWnZi6Z9WqqSxa9DaDB99DixZdvA7HBIlu3Zwij2XLrMijVKVl0m5NjAeBhThFI71V9Q/+lEmLU8D4MrBMVf/lM2oScJXbfxXwyXFFbmqtwsIDfPbZb4mN7cyQIX/yOhwTRJo3T6FVqzSWLfvQ61CCRoVJWkQeB2bj1OZIV9W/qOrOY1j2INx2qEUk0+3OBB4BThORFcBI97OpRy66qBU7d67miSdWEB7eEBHxqzP1Q7duF7Bu3Qz27NngdShBobK2O+7AafXuXuDPPv8kglOc3KSyBavqDHfa8ow4xjhNHbFhw2zS0/fSunVPXnnlnGOad9iwvwYmKBNU0tIu4dtv/8KSJe8xcODtXofjucrKpENUtaHvY+Fu17iqBG1MeQoK9vDhh5eSnw+dOtlDq6Z8LVp0oW3b3ixe/K7XoQQFe4+6OS4JCfF+F1OICCEhwpVXxrB9+yo+/BDCwxt6vQkmiKWlXcrGjXPYvn2F16F4zp/2pI05Sm7uBqZN87+p8Zyc6axd+y2dOp1Obu6UAEZm6oK0tEuYOvVuFi9+l1NPreyRjbrPzqRNwOXlzWPt2m9p3boncXEDvA7H1AJNmsTTocMQFi9+t943X2pJ2gTU5s0LyM6eTGxsMikpZ1ktDeO3tLRL2bYtq943X2pJ2gSEqrJ+/c9kZX1M06aJdO9+ISEhoV6HZWqR7t0vICQkjEWL3vE6FE9ZkjbVrri4kOzsT1m16guaN+9CevplhIZGeB2WqWWiolqQnDyaRYvepqSkyOtwPGNJ2lSr3bvXMW/eC2zaNJ+EhMGkpl5MSIjdnzbHJyPjWvLzN7JqVf292WxJ2lSLvXs3s3TpB2Rmvkpx8SF69LiCpKQRVgZtKiVCpVU309PPY98+uPfeMUeNS0iI9zr8GmGnOOa4HTy4m23blrJly2Ly8zcSGhpBQsIpJCQMsuIN4xdVqqzKuWrVl0RHz+LLL28nIqJR2fD68gSqJWlTKdUS9u7dxK5dOezalcPOnWvYvHkBv/89/PzzkwBER7elY8fTaNOmlz2kYqpdmza9WL/+J7ZsWUR8fP2rwmlJug5ISIgnN/f4GqNp3z6OdevWs3fvZvLy5rFjx0p27Fjh/l3J7t1rKS4+dNg8MTEdWLcOzjlnFLGxyURFtaiOzTCmXI0ataJx4zg2bZpPXNxJ9a4IzZJ0HXCsT/8BFBcfYseOlbzzzgc8/XQyO3euKhsXERFNbGxn2rTpSdeu59K0aaJP14Hw8Ch+/3vh5pvr31mN8UabNhmsWPEZ+fkbadIkzutwapQl6XpEVdm1K4eNG+ewY0c2JSVFpKRA69Y96Nv3t8TF9ad58y40atSq3p2tmODWqlUaq1ZNIS9vriVpU/eolrBlyyJyc39k377NhIU1pE2bXrRs2Z3zz3+d4uKPql6IMR4KC4ukdet0Nm9eSMeOIwkPj/I6pBpjSboOU1V27FjJmjVfsW/fFho1akVKylm0apVOaGg4ACUlHgdpjJ/atetPXt488vLmk5AwyOtwaowl6Trq4MFdZGd/xs6dK2nYMJbu3S+gRYvuVoxhaq3o6NbExCSyceNs2rcf6HU4NcaSdB2jWsKGDbNYs+YbRIROnUbRrl0/azfD1Alxcf1ZuvR9tm/P9jqUGmNJug45eHA3WVkfsXv3OmJjO9O58xgiI2O8DsuYatOiRRcaNGjChg2zvA6lxliSriO2bl1KdvanqJbQpcs5tG7dw4o2TJ0jEkK7dv1Ys+ZrWrXyOpqaYW131HIlJUWMGgVLl35Aw4bN6dPnN7Rp09MStKmz2rbtTUhIOIPqyb1DO5MOEsfz1GBUFFx4IQwc6JTVdex4upU9mzovPDyKdu36UFT0Ezt3rqZZs45ehxRQlqSDxLE+NZifv5ElS97j0KF9fPRRMU8+eUYAozMmuMTHn0xOzk/MnPk4Y8c+63U4AWXFHbXQli2Lycx8FYBeva5lQf1+u5Cphxo0aExmJmRmvkJ+/kavwwkoS9K1iKqydu33LFv2IdHR7ejd+wYaN27ndVjGeGLmTCgpKebHH//ldSgBZUm6ligpKSY7+1Nycr6hVat0eva84rC2dY2pb3buhPT0S5kz5zn27t3sdTgBY0m6FigqOsjixe+4r6Q6ha5dz7VXUhkDnHLKfRQVHeS77/7udSgBY0k6yB06tJfMzNfYtSuHLl3OJilpmFWvM8bVvHkKvXtfz9y5z7N9+wqvwwkIS9JB7MCBHcyf/woHDuwgLe0y2rTJqPZ1VPWOuYo6Y4LF0KEPEBragG+++bPXoQSEXTMHqb17N7Fw4VuoltCz51UBa0PXn3fMlae+vF/OBL/o6DYMHHgH3333NzZsmEVcXH+vQ6pWdiYdhHbtWktm5muEhISSkXFNvWvk3JhjdfLJd9KoUSumTLkDVfU6nGplSTrIbNu2nEWL3qJBg8ZkZFxLo0YtvQ7JmKDXoEFjhg9/iHXrZpCZ+ZrX4VQrS9JBZNOmTJYseY9GjVqTkXGNtWBnzDHo1etaEhIGM3Xqnezbt9XrcKqNJekgcfLJsHz5JzRrlkTPnlfWq9cDGVMdREIYO/Z5CgrymTr1Tq/DqTaWpD2mqkyd+gdOPx1atkwlLe1SQkMjvA7LmFqpZcvuDBp0NwsWvMHq1V97HU61sCTtoZKSIiZNupYffniM2bOhW7fz7CEVY07QkCF/Jja2M5MmXcuBAzu9DueEWZL2SGHhAd577zwyM1/j1FMf4LPPnMs1Y8yJCQ9vyHnnvU1+/kY+/fS6Wl/bw7KCBw4e3MVbb51OdvZkzjhjPEOH/sXrkIypU+Li+jFixMMsW/YRc+c+73U4J8SSdA3Lz8/j1VdPYf36nzn//Hfp3/8mr0Mypk4aOPB2OnUaxZdf/p5Nm2pve76WpGvQ9u0reOWVk9m5czWXXfYZaWkXex2SMXWWSAjnnPM6DRvG8u67Y2ttu9OWpGtITs50XnrpJA4d2stVV02jU6fTvA7JmDovOro1l132GQcP7uKdd8ZQUJDvdUjHzJJ0DZg//xXefPM0oqPbcN11PxMX18/rkIyp9fxtHKxt21688speNm7M5Ne/bkKHDrWrmQWr7xVAqiV89dU9/PDD43TseBoXXvg+kZFNvQ7LmDrhWBsH27hxDiEhn1FcvJGiogLCwhoEMLrqY2fSAXLgwA4mTDibH354nL59b+RXv/rcErQxHmrXri/JyWfQtStMmHA2hYX7vQ7JL5akA2DDhlk8/3xvVq78kjPOGM+ZZz5jD6kYEwTi4vrzySewatUU3nprdK1o48OSdDUqKSlm5szHeeWVwQBce+0M+ve/yRrJNyaIzJ8P55//Lhs3zuaFF/qwYcNsr0OqlCXparJ9ezavvjqEr766m5SUsfzmN/PqXOPjxtQVaWkXc+21MxEJ4dVXBzNr1jOolngdVrnsGvwEFRYe4IcfHmfGjEcIC4vkvPPeJi3tUjt7NiZIldYKAWjYEM4/H4qLb+bZZ2/m009h+/aK523fPo5169bXUKQOS9LHSbWEpUs/ZOrUu9i9ey3du1/I6NFP0rhxO69DM8ZU4shaIarKpk3zCQ2dwi23FJGQMIj4+JPLrf3hxWvjLEkfo5KSYpYu/YDvv3+ILVsW07p1D845ZxqJiUO9Ds0YcxycutS9iY3tzKpVX7J27Xds3DiHhIQhtG3bh9DQcE/jsyTtp/z8PDIzX2P+/JfYuXM1LVp049xz3yIt7WKruWFMHdCgQWO6d7+APXsGsmbN16xa9SXr1n1PXFx/2rXr59mLOOp0dklIiCc3d8MxzxceHkJhYQnR0dClC3TtCp06QUgIrFkDs2ZBVtYyVC8HLi93XmNM7dSkSRw9elzB7t1ryc2dSU7OdNatm0GrVmm0bl3z8dTpJJ2bu8HvJ5JKSoo4cGAH+/dv5dVXJzJ8eGv27dsMQGRkM1q27EabNr059dTmXH11xcsZNuyvx/QUlO98xpjgICI0bZpI06aJ7Nu3hfXrf2LLlsWkpNR8LHU6SR9JVTl0aC/792/jwIHtPn+3c/DgLsBpHLx3bwgPjyIxcRjNm3ehUaNWVlvDmHqqUaNWdOkyjk6dTuehhx6t8fXXySRdXFzI1q1LSU2FtWu/Zf/+XxJycfGhsulCQsKJimpO48btaN06nYYNWxAV1Zxzz32Rr7660sMtMMYEm7CwSAoKPFhvza8y8A4c2MHzz2dw4YVOE6ENGsQQFdWCmJj2NGzYnKioFjRs2JwGDZqUe4ZcXOxB0MYYU446maQbNWrFhRdOZPjwC3j77T95XoXGGGOOV518LFxE6N79fDZvxhK0MaZW8yRJi8hoEVkuIitF5B4vYjDGmNqgxpO0iIQCzwBnAN2BS0Wke03HYYwxtYEXZ9L9gZWqulpVDwETgLM9iMMYY4KeqGrNrlDkAmC0ql7nfr4COElVbz5iuhuAG9yPXYDlAQyrBbAtgMuvaXVte6DubZNtT/Crzm3apqqjj2fGoK3doaovAC/UxLpEZI6q9q2JddWEurY9UPe2ybYn+AXLNnlR3LEBaO/zOd4dZowx5gheJOnZQGcRSRKRCOASYJIHcRhjTNCr8eIOVS0SkZuBL4FQ4BVVXVLTcRyhRopValBd2x6oe9tk2xP8gmKbavzGoTHGGP/VyScOjTGmrrAkbYwxQaxeJGkReUVEtojIYp9hsSIyVURWuH+bucNFRJ52H1lfKCK9vYu8fBVsz+MikuXG/F8Raeoz7o/u9iwXkVGeBF2J8rbHZ9wdIqIi0sL9HPTHByreJhH5nXuclojIYz7Da90xEpEMEflJRDJFZI6I9HeHB/0xEpH2IjJNRJa6x+JWd3jw5QVVrfMdcArQG1jsM+wx4B63/x7gUbf/TOB/gAADgJ+9jt/P7TkdCHP7H/XZnu7AAqABkASsAkK93oaqtscd3h7nBvNaoEVtOT6VHKNhwFdAA/dzq9p8jIApwBk+x2V6bTlGQFugt9vfGMh2j0PQ5YV6cSatqt8BO44YfDbwutv/OnCOz/A31PET0FRE2tZIoH4qb3tUdYqqFrkff8Kpfw7O9kxQ1QJVXQOsxHk0P2hUcHwAngDupvSVOY6gPz5Q4TbdCDyiqgXuNFvc4bX1GCnQxO2PATa6/UF/jFQ1T1Xnuf35wDIgjiDMC/UiSVegtarmuf2bgNJXTMYBuT7TrXeH1SbX4vzqQy3dHhE5G9igqguOGFUrt8eVAgwRkZ9F5FsR6ecOr63bdBvwuIjkAv8A/ugOr1XbIyKJQC/gZ4IwL9TnJF1GneuZOlEXUUT+DBQBb3sdy/ESkSjgT8D9XsdSzcKAWJzL5buA96V2vzzzRuD3qtoe+D3wssfxHDMRiQY+BG5T1T2+44IlL9TnJL259HLF/Vt66VlrH1sXkauBscCv3C8Y1M7t6YRTNrtARHJwYp4nIm2ondtTaj3wkXvJPAsowWnEp7Zu01XAR27/B/xSRFMrtkdEwnES9NuqWrodQZcX6nOSnoTzJcP9+4nP8Cvdu7kDgN0+lz9BS0RG45TfjlPV/T6jJgGXiEgDEUkCOgOzvIjRX6q6SFVbqWqiqibiJLfeqrqJWnp8XB/j3DxERFKACJxW1mrdMXJtBE51+4cDK9z+oD9G7hXMy8AyVf2Xz6jgywte32WtiQ54F8gDCnH+4X8NNAe+xvlifQXEutMKzksJVgGLgL5ex+/n9qzEKTPLdLvnfKb/s7s9y3HvxgdTV972HDE+h19qdwT98ankGEUAbwGLgXnA8Np8jIDBwFycmik/A31qyzFyY1dgoc//zJnBmBfssXBjjAli9bm4wxhjgp4laWOMCWKWpI0xJohZkjbGmCBmSdoYY4KYJek6zG097i2fz2EislVEJh/n8saJyD3VF+Exrz+ntDW8al5uUxH5f9WwnNvcpyUDQkQSy2sp0B33NxEZ6cW6TWBZkq7b9gFpItLQ/XwaJ/CUlKpOUtVHqiWyICEiYUBToMok7T7IUNn/zG1AwJJ0ZVT1flX9yot1m8CyJF33fQ6McfsvxXkoAQAR6S8iP4rIfBH5QUS6uMN/LyKvuP3pIrJYRKJE5GoRGe8Of01EnnXbE14tIkPFaXN4mYi85rOOvT79F5SO83f+cvxOROaJyCIR6eouq5E77yx3W852hyeKyPfu9PNE5GR3+FB3+CRgKfAI0EmcdpEf912Zu4zlIvIGzkMo7d2454jTDvFf3eluAdoB00RkmjvsdHf/zhORD9x2Ijhi+deLyGwRWSAiH5aeiYtIa3HaBV/gdie7s4SKyIvuuqeU/gC7+/MCt7+POA04zRWRL0WkrYh0FZFZPutNFJFFFU3vM3yBiCwAbqrkmJhA8vrJH+sC1wF7gR7ARCAS56mqocBkd3wTfmmDeiTwodsfAnwHnAvMAQa5w68Gxrv9rwETcJ7EOhvYA6S7884FMkpj8InnAuC1Y5n/iO3JAX7n9v8/4CW3//+Ay93+pjhtAzfCOauNdId3Bua4/UNxrjKS3M+JHNGWtc86E3Ha2BjgM6z0KbRQYDrQwye+0icjW7j7sJH7+Q/A/eUsv7lP/4M+2/ceTqM/peuJcWMp8tm37/ts92vu/g0HfgBausMvxnnZMzjHP8knnnurmH4hcIrb/3hF+8i6wHY1/rZwU7NUdaE4TTFeinNW7SsGeF1EOuM8IhvuzlMiTmNNC4HnVXVmBYv/VFXVPSPbrKqlZ2ZLcBJKZhXhHc/8pQ3hzAXOc/tPB8aJyJ3u50ggAadtifEikgEU4zQVWmqWOm03+2OtOm0Il7pIRG7AadWuLU5j8QuPmGeAO3ymOA3dRQA/lrPsNBF5EOfHJRrnJQfgtIVxJYCqFgO7xXlLyBpVzXSnmYuzn3x1AdKAqe56Q3Ee5wYnqV+Mc+VwsduVO704b/Zpqk470gBvAmeUE78JMEvS9cMknPZ+h+K0TVDq78A0VT3XTeTTfcZ1xjkTb1fJcgvcvyU+/aWfS79bvu0ORB7H/BWts9hnGgHOV9XlvhOKyF+AzUBPnDP0gz6j91Ww/PKUTStOA0h3Av1UdadbNHPkdpXGNFVVL61i2a8B56jqAveHcWgV0/vup2Kg4RHjBViiqgPLmfc94AMR+QinJc4VIpJe3vTi8/o14y0rk64fXgH+Wnqm6iOGX24kXl06UERigKdxXpnUvLSs8zhtFpFu4txwO/cEllOZL3HKqgVARHq5w2OAPFUtAa7AOUssTz7OK5T80QQnae8WkdYcfnbpu5yfgEEikuzG1Eiclu+O1BjnzDUc+JXP8K9x2mtGRELdY+KP5UBLERnozhsuIqkAqroKJ7Hfh5OwK5xeVXcBu0RksDudb2ymBlmSrgdUdb2qPl3OqMeAh0VkPoefuT4BPKOq2TitnT0iIq2Oc/X3AJNxyj0D1bTj33GKaha6RSV/d4f/B7jKvfHVlQrOnlV1O06xxOIjbxyWM+0CYD6QBbwD+BYFvQB8ISLTVHUrzg/fuyKyEKeoo2s5i7wPpwW5me4yS90KDHOLgubiFJ1USVUP4ZRNP+pudyZwss8k7wGX4xR9VDX9NcAzIpKJc4ZuPGCt4BljTBCzM2ljjAlilqSNMSaIWZI2xpggZknaGGOCmCVpY4wJYpakjTEmiFmSNsaYIPb/AYzRJsSwLI3+AAAAAElFTkSuQmCC\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.displot(x = df.thalach[df.target==1], data = df, kde = True, color= 'olive')\n", "skewness=str(df.thalach[df.target==1].skew())\n", "kurtosis=str(df.thalach[df.target==1].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"))\n", "plt.title(\"Maximum heart achieved of peple with heart disease\")\n", "plt.xlabel(\"Maximum heart rate achieved\")\n", "plt.ylabel(\"Number of people with heart disease\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.066745, "end_time": "2021-06-09T16:17:30.417268", "exception": false, "start_time": "2021-06-09T16:17:30.350523", "status": "completed" }, "tags": [] }, "source": [ "Distribution plot for `number of people without heart disease` vs `max heart rate`" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:56.693665Z", "iopub.status.busy": "2022-09-30T13:15:56.693350Z", "iopub.status.idle": "2022-09-30T13:15:57.072656Z", "shell.execute_reply": "2022-09-30T13:15:57.071643Z", "shell.execute_reply.started": "2022-09-30T13:15:56.693634Z" }, "papermill": { "duration": 0.389437, "end_time": "2021-06-09T16:17:30.8733", "exception": false, "start_time": "2021-06-09T16:17:30.483863", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.displot(x = df.thalach[df.target==0], data = df, kde = True, color= 'slategray')\n", "skewness=str(df.thalach[df.target==0].skew())\n", "kurtosis=str(df.thalach[df.target==0].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"))\n", "plt.title(\"Maximum heart achieved of people without heart disease\")\n", "plt.xlabel(\"Maximum heart rate achieved\")\n", "plt.ylabel(\"Number of people without heart disease\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.067553, "end_time": "2021-06-09T16:17:31.00896", "exception": false, "start_time": "2021-06-09T16:17:30.941407", "status": "completed" }, "tags": [] }, "source": [ "`Now let's observe Age vs Serum Cholestoral when people have heart disease.`" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.067315, "end_time": "2021-06-09T16:17:31.144372", "exception": false, "start_time": "2021-06-09T16:17:31.077057", "status": "completed" }, "tags": [] }, "source": [ "Now, let's make a distribution plot for serum cholestoral" ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:57.074591Z", "iopub.status.busy": "2022-09-30T13:15:57.074273Z", "iopub.status.idle": "2022-09-30T13:15:57.442301Z", "shell.execute_reply": "2022-09-30T13:15:57.441540Z", "shell.execute_reply.started": "2022-09-30T13:15:57.074557Z" }, "papermill": { "duration": 0.386897, "end_time": "2021-06-09T16:17:31.599608", "exception": false, "start_time": "2021-06-09T16:17:31.212711", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.displot(x = 'chol', data = df, bins = 30, kde = True, color = 'teal')\n", "skewness=str(df['chol'].skew())\n", "kurtosis=str(df['chol'].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"));" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.068776, "end_time": "2021-06-09T16:17:31.737841", "exception": false, "start_time": "2021-06-09T16:17:31.669065", "status": "completed" }, "tags": [] }, "source": [ "Now let's plot another scatter plot for Age vs serum cholestoral" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:57.443815Z", "iopub.status.busy": "2022-09-30T13:15:57.443417Z", "iopub.status.idle": "2022-09-30T13:15:57.650675Z", "shell.execute_reply": "2022-09-30T13:15:57.649507Z", "shell.execute_reply.started": "2022-09-30T13:15:57.443785Z" }, "papermill": { "duration": 0.277999, "end_time": "2021-06-09T16:17:32.084848", "exception": false, "start_time": "2021-06-09T16:17:31.806849", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Creating another figure\n", "plt.figure(figsize=(10,6))\n", "\n", "#plotting the values for people who have heart disease\n", "plt.scatter(df.age[df.target==1], \n", " df.chol[df.target==1], \n", " c=\"salmon\") # define it as a scatter figure\n", "\n", "#plotting the values for people who doesn't have heart disease\n", "plt.scatter(df.age[df.target==0], \n", " df.chol[df.target==0], \n", " c=\"lightblue\") # axis always come as (x, y)\n", "\n", "# Add some helpful info\n", "plt.title(\"Heart Disease w.r.t Age and Serum Cholestoral\")\n", "plt.xlabel(\"Age\")\n", "plt.legend([\"Disease\", \"No Disease\"])\n", "plt.ylabel(\"Serum cholestoral\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.070549, "end_time": "2021-06-09T16:17:32.225557", "exception": false, "start_time": "2021-06-09T16:17:32.155008", "status": "completed" }, "tags": [] }, "source": [ "Let's make a density curve for visualizing the distribution of `age` and `chol` observations in our dataset. " ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:57.652273Z", "iopub.status.busy": "2022-09-30T13:15:57.651968Z", "iopub.status.idle": "2022-09-30T13:15:58.747292Z", "shell.execute_reply": "2022-09-30T13:15:58.746521Z", "shell.execute_reply.started": "2022-09-30T13:15:57.652242Z" }, "papermill": { "duration": 1.144929, "end_time": "2021-06-09T16:17:33.440891", "exception": false, "start_time": "2021-06-09T16:17:32.295962", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.kdeplot(x = 'age', y = 'chol', data = df, color = 'firebrick');" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.071256, "end_time": "2021-06-09T16:17:33.584535", "exception": false, "start_time": "2021-06-09T16:17:33.513279", "status": "completed" }, "tags": [] }, "source": [ "Distribution plot for `number of people with heart disease` vs `Serum Cholestoral`" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:58.749011Z", "iopub.status.busy": "2022-09-30T13:15:58.748530Z", "iopub.status.idle": "2022-09-30T13:15:59.146827Z", "shell.execute_reply": "2022-09-30T13:15:59.145734Z", "shell.execute_reply.started": "2022-09-30T13:15:58.748979Z" }, "papermill": { "duration": 0.495096, "end_time": "2021-06-09T16:17:34.151075", "exception": false, "start_time": "2021-06-09T16:17:33.655979", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.displot(x = df.chol[df.target==1], data = df, kde = True, color= 'dodgerblue')\n", "skewness=str(df.chol[df.target==1].skew())\n", "kurtosis=str(df.chol[df.target==1].kurt())\n", "plt.legend([skewness,kurtosis],title=(\"skewness and kurtosis\"));\n", "plt.title(\"Serum Cholestoralof people with heart disease\")\n", "plt.xlabel(\"Serum Cholestoral\")\n", "plt.ylabel(\"Number of people with heart disease\");" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.072331, "end_time": "2021-06-09T16:17:34.297027", "exception": false, "start_time": "2021-06-09T16:17:34.224696", "status": "completed" }, "tags": [] }, "source": [ "Distribution plot for `number of people without heart disease` vs `Serum Cholestoral`" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:59.148267Z", "iopub.status.busy": "2022-09-30T13:15:59.147979Z", "iopub.status.idle": "2022-09-30T13:15:59.529532Z", "shell.execute_reply": "2022-09-30T13:15:59.528400Z", "shell.execute_reply.started": "2022-09-30T13:15:59.148238Z" }, "papermill": { "duration": 0.347277, "end_time": "2021-06-09T16:17:34.717217", "exception": false, "start_time": "2021-06-09T16:17:34.36994", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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" ], "text/plain": [ "sex 0 1\n", "exang \n", "0 238 442\n", "1 74 271" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.crosstab(df.exang, df.sex)" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:59.557430Z", "iopub.status.busy": "2022-09-30T13:15:59.557128Z", "iopub.status.idle": "2022-09-30T13:15:59.701701Z", "shell.execute_reply": "2022-09-30T13:15:59.700465Z", "shell.execute_reply.started": "2022-09-30T13:15:59.557400Z" }, "papermill": { "duration": 0.21213, "end_time": "2021-06-09T16:17:35.324641", "exception": false, "start_time": "2021-06-09T16:17:35.112511", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = sns.countplot(x = 'exang', data = df, hue = 'sex')\n", "plt.title('Exercise induced angina for sex')\n", "fig.set_xticklabels(labels=[\"Doesn't have exang\", 'Has exang'], rotation=0)\n", "plt.legend(['Female', 'Male']);" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.074938, "end_time": "2021-06-09T16:17:35.47544", "exception": false, "start_time": "2021-06-09T16:17:35.400502", "status": "completed" }, "tags": [] }, "source": [ "`Which sex of people has more fasting blood sugar > 120 mg/dl?`" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:59.703845Z", "iopub.status.busy": "2022-09-30T13:15:59.703411Z", "iopub.status.idle": "2022-09-30T13:15:59.712590Z", "shell.execute_reply": "2022-09-30T13:15:59.711506Z", "shell.execute_reply.started": "2022-09-30T13:15:59.703801Z" }, "papermill": { "duration": 0.084767, "end_time": "2021-06-09T16:17:35.635495", "exception": false, "start_time": "2021-06-09T16:17:35.550728", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0 872\n", "1 153\n", "Name: fbs, dtype: int64" ] }, "execution_count": 34, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.fbs.value_counts()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:15:59.714596Z", "iopub.status.busy": "2022-09-30T13:15:59.714202Z", "iopub.status.idle": "2022-09-30T13:15:59.838845Z", "shell.execute_reply": "2022-09-30T13:15:59.837686Z", "shell.execute_reply.started": "2022-09-30T13:15:59.714554Z" }, "papermill": { "duration": 0.246332, "end_time": "2021-06-09T16:17:35.956068", "exception": false, "start_time": "2021-06-09T16:17:35.709736", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "image/png": 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f3+mRHY0D9LgCKd0B4Q+GRgGHVxxwwoEyyBXZYmlt3dU6pf1U9501Gz2jBvIg+Gn1DU1y4HeAyOqFLEsvETurbNSkWlfV4HGm84ji0N7j6LoqcqljbuWx1Tl6ykbg1Bw9V0mRkW72jQMOqtj/WJkXE1kxt72m7Zj4771zK4715fBpZ9Y3NMnJ9QeAlG4WpUe5X/WNnTrIWV4z0nQeUdiSFslZrUd0fM17e227e7CJjQuNBp6z6EnpZtdEYKJvXGg/00FEYdvY7Yyc0X5d6q7Kb/d1K+9AOLm+oSlk8PmLkpRulvSOct11ox3OykFjTecRhWt227C2o607KhZltpV3oPy76QDFRko3e+qBvcsnHLWvrFgQ/dGTIn5D68mRK/2/rY05K/Plm+jU+oamEaZDFBMp3ew5Tnn82l03+kDTQUThWdnlCc+I/JTHKr+Zb5dIdwKXmg5RTKR0s8AfDFUDh1fsf8xw5XTl/lx+omBprXl887itX1Z3VX3inZiv3zuXyRnIskfW6WbHYYAqGzFRFpSLPutKELuu/WvW7MrT8/3KDaOAk4G/mw5SDGSku4f8wZAbOMU39pAKR1n5INN5RGFYEinf+uXor12zK08fqK282Xal6QDFQkp3z00CKr31U2SZmNgtS2t9d+sB7TNdd9ZsKBtTSK80T65vaBplOkQxkNLdA+llYicrV1nUFdhrH9N5RH5rj6uuC7ZcEft1ZUO1VoXUt4B9QO0y0yGKgZTunhkMBH3jp9Uphyt/rrkt8k5ze03bMT23eufkditvtn3ddIBiIKW7ZyYDumzYPjK1IHYqaZGctemI8HnmtvJm0/j6hqYDTIcodAX3GifPHKlcnogrMESmFsTnbOx2Ri7t/p5nUdUhAdNZsugsYKHpEIVMRrr95A+GBgNjfOMO3UvW5ood/bNt2NZj8mcrbzadbTpAoZPS7b/9AV02bF+ZWhCfiqeIN7TO6Lzc/9ua7vzZyptNk+obmupNhyhkUrr9dyROd8RVPWRf00FEfljZ5QmfFPkpj1ZeuKdX5c13M00HKGRSuv3gD4YGAWO9oyYFlNNdbC8fRYYKZCtvNknp7gEp3f7ZD8AzZFy94RzCsGiC2NWbz+v6UcUvsn1V3nx2bH1DUyEvfTNKVi/0z6FAxFU9tN50EGHO0oh/68XWTys3VI7xms6SY17gEOA100EKkYx0M+QPhlzABOX2djn91XJJnhJkaa3/q/WA9lNcdxXaVt5sOsx0gEJVqt8we2Ik4CwbMXGocjgKfbG7yFA4rrqujlzqeLPyy9WmsxgmpdtPUrqZGwcoT90YOflHiXmrvbrtCudNgfbygt9Zlg1Suv0k0wuZOwDodFUPkdItEUlLp27edHj4XO8dxbCVN1uGy1nH+kdGuhnwB0MOYB9gi1xivTRsijkjl0a/43m/aloxbeXNlsOA1aZDFBoZ6WZmL8DjCgzxKZenUE4+Lfrp/9qGth2dvL38ff80WYu9czLF0A8y0s3MKMDhqh0pV4goYvEU8RvbZsQfrbyw1nSWPBcyHaAQSelmZhSQclUNHmI6iBgYq7o84W/Ff+T7uHK/Yt/Kmw0TTQcoRDK9kJnRQNRZUVNnOojILq01T24Zu/XL6q6qj337lcJW3myorW9okrnuDMlINzOjgKjTF5DphSISTRC7rv281POVZ+T7VXnz0VjgXdMhComMdPvIHwx5gFqgx+GtkJFukVga8W89Lvpr1/OVZ5SbzlKgxpoOUGikdPtuEGApp9uhPL5q02HEnrG01ve0Ti71rbzZIKWbIflm67tBAO660bVKqVI5m1RRCsdV1zWRSxxvVB5fbTpLEZDSzZCUbt8NBhzOykFVpoOI/pvXXt12ueNngfbyIbKzLDukdDMkpdt3o4GYw+MfbDqIyFzS0qnfbzm86/bK78ja2+yS0s2QlG7fDQZ6lMcnJ28uMJtizshl0e94FlZOk1cp2SeDkAxJ6fZdJZB0uL2ldsLqgvZi29C2az2N1d3+KjloPDBkE0mG5Bux7yqAhHJ7ZaRbAOIpEj/edGLkUv/vartdUrgDyCmX7smMjHT7rgLYpNweGenmuVVdnvDF8ev9y6v2rzSdpURUAN2mQxQKGQH0gT8YcgJlQEq5yuS3eh57crO9lXe5b3+36SwlRH65ZUBGun3jAywA5fJI6eahaILYD8NfTf2j4izZypt7Mq+bASndvvEBGkA5nDKCyjPLIv72i63/V7G+Ym+Z+jFDSjcDMr3QN17SpYvW2mwU0cvSWv+5dVL7ya67qteX7S0DCHOkdDMg36h9s+1Uf1pbBnOItI0M8n2z7dKYbOXNC3IqzAxI6fbNp0WrkdLNBwvLDqpGLqKTLxKmAxQSmV7om21Fqy0pXSE+S0o3A1K6fbNd6cpIV4gdxE0HKCRSun0jpSvErvWYDlBIpHT7ZtucrrZSJoMIkYc6TQcoJFK6fbNtdGulpHSF+KyI6QCFREq3b7aNdJM9UZNBhMhDUroZkNLtmySgAKx4d5fhLELkkxQyvZARKd2+iZL+Wlk9USldIbZZt2LWTJlyy4CUbt/EsdciOqxYp5SuENusNB2g0Ejp9kG0pVkDHYAn1dnWYTqPEHlklekAhUZKt+/aAU+yozVsOogQeURGuhmS0u27VqAsFWnt0rIVWIheUroZktLtu41AGVprHY/JaFcIm0wvZEhKt+9aASeAFYu0Gs4iRL6QkW6GpHT7Lkx6k0Sys22D4SxC5AONlG7GpHT77tPRbTK8caPJIELkiQ9XzJopSygzJKXbd5uxR7rOROtKGekKAW+bDlCIpHT7KNrSnMI+aFCe2LyyTaeScg5RUermmQ5QiKR0M/MR6YvwWbHIJsNZhDBNRrr9IKWbmU9IX1cu1dUuUwyiZGmtU8C7pnMUIindzGwgfSn2ZMcmKV1RspRSS1bMmimnOe0HKd3MbCT9NetZ3yJLZUQpk/ncfpLSzUC0pbkbe+mYL7Hp481WvFt2polS9ZbpAIVKSjdzC4EagGR408eGswhhymzTAQqVlG7m3id9MC3RumK54SxC5JzWevGKWTNXmM5RqKR0M9c7ulXdK9/7WGutjaYRIseUUk2mMxQyKd0MRVuaI9j7zSutaHu31d2x3nQmIXJMSncPSOn2zzwgAJDYuk6mGETJ0Fq3A2+azlHIpHT754Pev8TXf/iRySBC5JJSavaKWTOTpnMUMind/lmFfelpV2zVwtVWPCbXTROlQqYW9pCUbj9EW5oT2KsYatBaJzavXGg6kxADTWudBJ4znaPQSen23xuAD6D747eldEUpeH7FrJmbTYcodFK6/bcESAKu+MblramorGIQxU0p9YDpDMVASrefoi3NMeyjuIMB4hs/es9sIiEGjtZWGHjWdI5iIKW7Z94EPADRljmL5NLsoniph1fMmtljOkUxkNLdM8uxL1jpS0W2dKU6NsuaXVGUlFJ3m85QLKR090D6Ej4vAnUAsTWL5aTOouhoKzVvxayZcrA4S6R099w7pL+O0Q/eWGbFu9vNxhEiu5TDebvpDMVESnfPrQdWADVoS/esXdZsOI8QWaOt1BbgMdM5iomU7h6KtjRr4O+kz8XQteTl+TqVkAMOokiom1fMmhkznaKYSOlmx0KgHfBbsc54fOPHcpVUUfC0lepQDscdpnMUGyndLEhvC36W9JrdzkUvztFWSk4KIgqblfr9ilkzu0zHKDZSutkzF+gBPKnI5q5E60pZySAKlrZSncrl+Z3pHMVISjdLoi3NXdgnAxkC0Ln4pTdks4QoWFbqTytmzZSz5w0AKd3segWwAFdy67pwfNMncplqUXC0lepWLs9/ms5RrKR0syja0hwG/gkMBYjM//srOpnoNptKiMxoK3XHilkz20znKFZSutn3AvZo12NFw7HYqoX/Mh1IiL7SyUSbw+W5yXSOYqbkYrbZ5w+GZgDnAStxOB11J3//aoe3vM50rkx0zHuKzvdeAAXuwfXUnfJ9tsy+ndjqRTjK/ADUnfIDPEPGfu5jNz5+Iz3rPsA7cj/2+urPPr2/9dn/JNG6Et+4Q6k5+iIA2t98FE/dGPz7TM/NJya+UKq744rVfzj/HtM5ipmMdAfGy0AbUImVsro+fOMF04EykYxspuOdZxl60e8ZfukdYFl0LX0VgJpjLmb4xbcx/OLbdlq4AFXTzqLu1Os+c1980yc4XGUMv+RPxNe3YPV0kexsI77uAyncPGHFuhZL4Q48Kd0BEG1p7gEeJn0inO6WuS3JjtbCOgOZlUIn42grhU724Kyo7fOH+uqn4PD4PnOfcriwkj1obaGtJCgH4dceIvClC7KdXPSD1pbWVuoi0zlKgZTuwFkAfEjvhomFL8zWBTKX46qso2ramay982LW/OmbqDI/vr0PBqD9tf9h3X3X0vbiPehkos+P6a4bhdMXYP3938M/fhrJrevRWlM2dPxAfRoiA1Z3x19W//H8d0znKAUu0wGKVbSl2fIHQ48APwO2xDcub42v//DNsuH7HmE62+6kYp1EW5oZcdW9OMrKaX16Fp2LX6b66ItwltdAKsmW2bcRbn6S6iPO7/Pj1h5/xad/3/TkTdSedC3hNx8jvukTvPVTqJwyYyA+HbEbOhmPKLf3GtM5SoWMdAdQtKX5E+A1YDhAx1t/fTnVHdlkNtXuxVYswBUYgtMfQDld+PeZTs/apbgqalFKoVxuKiYfT3z9h/16/GjLXDxDx6MTMRLt6xl8RgPRD97ASsh5VUywerp+suq3Z4dN5ygVUroD769AAvDrVCIVefcff9WWlTId6ou4qgYTX/cBViKG1prYyvdwDxpFstNeuqm1JvrhXNx1YzJ+bJ1K0vH201SFzkYnewCVfoMFcrqKnEt1tc9dfds3/mg6RymRJWM54A+GDgW+A3wC6KpDzzzSO3rycYZjfaH21x6ma9lrKIcDz5BxDJrxXTY+8TOsaBjQePYaS+1J38bh8dGzvoXOBc8x6OTvArDh4R+R2LIGnYjh8FYy6OTv4hs7FYCOeU/j8JZTMfl4tNZs/nQZ2SHUHHOxwc+49FjxWGeibc2+6+//3jrTWUqJlG4O+IMhBVwJTAXWohxq0EnfvsRZXjPScDRRorTWxNd/eMn6B6/7b9NZSo1ML+RA+kTnjwDdQCXa0h1vP/M3baX6fvhfiCxKbl37tBSuGVK6ORJtae4A7sFeQuZIbF7Z1v3J/H8ajiVKUKq7Y0N8w3JZIG2IlG5uLcK+evAIgM4Fz81LtK1532wkUUp0KplMbF51buszt8jJyQ2R0s2h9DTDE8BWoAag/fVHnklFw+uNBhMlI9664jcbHr7hNdM5SpmUbo5FW5qjwB1AJeDViVgyPOexR61Ej4w8xICKt654JfzGIz82naPUSekaEG1p/hh7fnc44Ey2b+joXPDcY/m+flcUrmR448rIgufPTL/aEgZJ6ZozF/vS7aMBYqsWru5e/laT2UiiGKW6I+GuD944LfLOs+2mswgpXWPSI46/Au8BIwE6F77wbnzj8reMBhNFxUrEYtFlr1+49aV75YBtnpDSNSja0pwE/gvYQvo0kO1vPjo7Gd7UYjSYKAo6lUxGl73+0y2z//SM6SxiGyldw6ItzZ3AHwAPUI6Vsrb+6/7Hk51tKw1HEwVMW5aOfjT37uiHb8pl1POMlG4eiLY0rwP+iL1xwqsTsWT7v+5/JBUNy554kTGtLR394PWHuxa9dF20pdkynUd8lpRunoi2NC8C7sJe0eCxYp3x9lcffCjVHdloOJooIFpbVteSV57qWvLK1dGW5rjpPOLzpHTzSLSleS5wH/aBNXeqa2t3+6sPPFgI5+AV5mltWV2LX346uuz1y9LTViIPSenmn38BjwKjAFeqsy3a/uqDD6RiUrxi1z4t3A/euCza0txmOo/YNTm1Yx5KnwryFOzLuK8Cks6KWn/1l75xvrO8Wk4HKT5DW5bVteTlp6IfvHG5FG7+k9LNU+niPRU4h3TxKrfXVX3UhWe7q4dOMJtO5AudSia7lrz8dPTDOZdHW5q3ms4jdk9KN4/tMOJdB8RQSgWO+PqMsiHjpplNJ0yz4t3RyDvPPt6zbtl1UriFQ0q3APiDoenYV57YAkQAKqeeNt07ZsqJSimj2YQZqa6tW8JzHn84Gd7YKIVbWKR0C4Q/GJoIfB/oAdoA/BOP2q98wpFnKofTZTKbyK3EltWr2uc8fpfu6bpNVikUHindAuIPhkYC/wZ4gY0A3jEHjqo4cMa5DndZhdFwIidiq95f3DHvqZtBPxptaZbLPRUgKd0C4w+GaoEfYG+iWA3grKwrDxx2zpmuqsHjjIYTA0ZbqWTX0teao8te/RnwkpyisXBJ6RYgfzBUDlwFTAbWAEmAqkPP+FLZqEnHKuWQ9ddFJBXt2NLx9lMvJ1pX/Dza0ixnCytwUroFyh8MuYCZwJnYc7wdAN7RB4yqOPCksx0eX8BkPrHntNb0rFu2KPL20y/qZPw30ZbmNaYziT0npVvg/MHQBOAa7HnedQAOf8AbmH7e6bKet3BZiVhn53uz58RWvvcM8GD6atKiCEjpFgF/MBQALgGmYE83JAAqppx8iK/+oOOV01VmMJ7IUKJt7Sfh5iffsKLhe4DXZP62uEjpFgl/MOQEjgfOB8LYVxzGFRhSWTn1tBnumuH7mcwndk+nErHoh3Pmdy155QXgv6ItzXKV6CIkpVtk/MHQOOBqoBZ7uiEJ4BsfGl8+4chTHGX+GpP5xM7FW1cu7Xj76YVWtP1x4FlZDla8pHSLkD8Y8mFvHz4V6AY2ASi311U59bSjyobte7hyOJwmMwpbqjvS2rlw9ryeNUs+AO6OtjR/YDqTGFhSukUsvZniQmBf7M0UUQD3XmPrKqecfIqrctDeJvOVMp2MR6Mfv/1216KXPkFbfweaoi3N3aZziYEnpVvk/MGQAzgM+Ab2ddjWARaAb/y0cf7g9C87/YFhBiOWFG2lkvENHy2IzG9qsXo6FwIPyVKw0iKlWyL8wVAVcBZwDNAFtH76tglHTvSNO/RYp7disKF4RU+nkvH4xuXzOxe+sDLVtXU98BDwrlzDrPRI6ZaY9IG2c4AJ2BsqPj3ptX/iUfv59j74KKevaoipfMVGJxOxnvUfzut8/4WVVnckBjwFvBhtaY4ZjiYMkdItQenz9E4EzgXq2W6JGYB/n8P39dYfdJirclC9kYBFQCfj0djapW91Lvznah2PxoAXsMtWTsNY4qR0S1h6vncS9lbivbHP1bul9+3uvcbW+YOHTfXUjZmiXG6voZgFJRVtX9uzdun7XUtf3aQTPd1AE/Av2VEmeknpit6R737Y5TsOe0fbJtJrfJW7zOXf90v7e0fud4izvEau0bYDnYxH460r34t+1Lw0seljB/YyvWewd5N1GY4n8kxRlq5S6rvYGwTmAy1Ap9b6N1l67HOARuyX59O01m+n7z8BmIW9QiAOXK+1fin9tqnA/YAP+AfwPT0AX3il1DDgAa31iTvcfz/wd631k0qpV4Af9ubeXrp8xwBHAUcCLuxph09HaZ6hwb1846dNddeOmOhweyuz/TkUCq21TnW0fhRbvei9aMvcdqxk79eqCXhTln+JXSnWKw5cAxyvtV6jlGrc0wdTSjmASq11GFiEvQrg7h3ebTNwmtZ6nVJqEjAbGJF+253A5UAzdunOAJ7b01w7MSP9vP2S3uO/AljhD4b+FzgYOBm7iOPApviGlk3xDS3PAc+Vjdx/hHfk/vu6Bo2cUAorH7SVSqQimz+Jt65s6f747XWpyGY3kALeAl4FPoq2NKfMphT5ruhKVyl1FzAWeE4pdV/67gOVUnOAOuAWrfU96VHhY0AV9tfhaq31azs81hjgYuAC7EvlNGmtl6bf9pnn1Vq/u90/FwM+pVQZ9nbcKq313PTHPQicwQ6lmx6NdgMHAXthn8DmQmA60Ky1/lb6/S4FbgDagfeAHq31temHmQHcpOxwtwEnYJ/oPN6Xr9320i+LX/MHQ69jfz2PSWdxADGgrWfN4rU9axavBV5y142p9dZPmeAZNHqCo7x6pCqSi7dZPdGtifb1LfENLR/GVizYoJPxGsAJbMD+BfeeXDJHZKLoSldrfZVSagZwrNZ6c3qkewD2BoFy4F2lVBP2iWFma63/QynlBPwASikPcDpwGXb5PQBM11pvziDG2cB8rXWPUmoE9pm/eq1h2wh4RzXYxfYV7DnBI9I55imlpmDPs/4UewQaAV7CLl7Sn8O+WuslSqmzsHeh7QcMAZYA99EP6dHvcmC5Pxh6NP24h6Yz9I70Nic2r2xLbF75JvCmw1/tKxsxYaR70KiRrqrBo5z+6hHK6fL05/lzzUrEIqnOrWuS7RtWxVYv+ijR+kkK6J1GcQHPY79iWSNn/xL9UXSluwtPa627gW6l1MvANGAecJ9Syg08pbVekH7ft7G/LhdrrZszfSKl1P7AzcCJu3vfnXhWa62VUu8DG7XW76cfczH20q564F9a67b0/U8A+6Q/NoRdBmDPyf5Fa50C1imlXupHls9Jj37nA/P9wZAH+6DbQdi/KIYAGohY0fZId8vclu6WuS2kg3qGjB/sGTJ2lKt62EhnRe0Ih8dfa/r8D1YiFrGiHRtSnW0bEu3r18c3tKxNtm/owX514saeg2/BXlv7AbBeilbsqVIp3R1/ULTW+lWl1FHYV1+4Xyn1O631g9hzr1cADyml/gb8d++Uwu4opUYCfwMu1FovT9+9Ftj+iP/I9H0705P+09ru773/dpFeTbALJ2OPwnIi2tIcB5YCS/3B0GPAaOyDi5Oxy7j3eyuO1uH0XPAm4B0AlEO5a0dWu2qH17kq62odvspqR1lFwFHmr3Z4fAGcLu+eXnZIJ+NRKx4LW/Fo2Orp6rC6I2ErGg4nO9vCya1r21KdbTHsVz9V2FMGAezzU7wJvAssl9UHIttKpXRPV0r9GvsH7BigIT1fuyY9v1uG/XL5wfTotlkpVQGcB9ybPpB2jdZ6/q6eQClVjX3kukFr/Ubv/Vrr9UqpDqXUYdgj0Qux51v7Yx5wq1KqBnt64Wyg95pZXwZuSf/9VeBKpdQD2FMkxwKP9PM5dyt98OiT9O0f6UsJDcX+BTMB2B/7YJyFPSecQFvRxJZV0cSWVS27elzl8jgd3ooyR1l5mfL4PQ6Pt0y5vR6H21um0ZpUMqmT8aROJexbMp7UyURSJ3uSqa72qE7Een9JuYEy7Ktr+NIZBmH/Ml4DzMGeQlkDbJbRrBhIpVK6C4GXsQ+k/SK9wuAi4HqlVALoxC7DT2mtO4F7sUt3Yu/9SqkzsUtzMNCklFqgtT4JuBYYD9yolLox/e4naq03Ya+muB/7B/45+rlyQWu9Vin1K+yj5W3AMiCslBoMxLTWkfS7/g04DnsudxV2qeRMtKU5iV1ga4C5AP5gqBJ7LnsQdhmPTv+7d1pCAwq7EAEsnYwnU51tqVRnWwp75N876nSm32/HW++UgIU9eu19vN5zTXyczrQa+0BYazqrEDlTlOt0i5lSqkJr3amUcmGX633YI/iRWutZZtNlzh8MubFf1vfevNij0vLtbr7t/tTYqzG2v/Vsd4tgr5cNp28d0Zbm7adqhDBKSrfAKKV+g31ZHi/2fv4B2WghhBgYUrpCCJFDe3R0WAghRGakdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIoekdIUQIof+P97OfX/Vs1y3AAAAAElFTkSuQmCC\n", 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = pd.crosstab(df.sex, df.fbs).plot(kind = 'bar', color = ['lightblue', 'salmon'])\n", "plt.title(\"Fasting blood sugar w.r.t sex\")\n", "fig.set_xticklabels(labels=['fbs>120 mg/dl', 'fbs<120 mg/dl'], rotation=0)\n", "plt.legend(['Female', 'Male']);" ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.189423Z", "iopub.status.busy": "2022-09-30T13:16:00.189133Z", "iopub.status.idle": "2022-09-30T13:16:00.629973Z", "shell.execute_reply": "2022-09-30T13:16:00.628951Z", "shell.execute_reply.started": "2022-09-30T13:16:00.189394Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "corr = df.corr()\n", "mask = np.triu(np.ones_like(corr, dtype=bool))\n", "f, ax = plt.subplots(figsize=(11, 9))\n", "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n", "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=.3, center=0,\n", " square=True, linewidths=.5, cbar_kws={\"shrink\": .5});" ] }, { "cell_type": "markdown", "metadata": { "papermill": { "duration": 0.077886, "end_time": "2021-06-09T16:17:36.608652", "exception": false, "start_time": "2021-06-09T16:17:36.530766", "status": "completed" }, "tags": [] }, "source": [ "# Data Preprocessing" ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.631671Z", "iopub.status.busy": "2022-09-30T13:16:00.631248Z", "iopub.status.idle": "2022-09-30T13:16:00.640181Z", "shell.execute_reply": "2022-09-30T13:16:00.639122Z", "shell.execute_reply.started": "2022-09-30T13:16:00.631633Z" } }, "outputs": [ { "data": { "text/plain": [ "age 0\n", "sex 0\n", "cp 0\n", "trestbps 0\n", "chol 0\n", "fbs 0\n", "restecg 0\n", "thalach 0\n", "exang 0\n", "oldpeak 0\n", "slope 0\n", "ca 0\n", "thal 0\n", "target 0\n", "dtype: int64" ] }, "execution_count": 39, "metadata": {}, "output_type": "execute_result" } ], "source": [ "#checking for null values\n", "df.isna().sum()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "There is no null values." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Modeling" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.641837Z", "iopub.status.busy": "2022-09-30T13:16:00.641523Z", "iopub.status.idle": "2022-09-30T13:16:00.654862Z", "shell.execute_reply": "2022-09-30T13:16:00.653849Z", "shell.execute_reply.started": "2022-09-30T13:16:00.641806Z" }, "papermill": { "duration": 0.08523, "end_time": "2021-06-09T16:17:36.771538", "exception": false, "start_time": "2021-06-09T16:17:36.686308", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# creating dependent and independent matrix of features\n", "x = df.iloc[:, 0:-1]\n", "y = df.iloc[:, -1]" ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.656792Z", "iopub.status.busy": "2022-09-30T13:16:00.656456Z", "iopub.status.idle": "2022-09-30T13:16:00.677076Z", "shell.execute_reply": "2022-09-30T13:16:00.676346Z", "shell.execute_reply.started": "2022-09-30T13:16:00.656733Z" }, "papermill": { "duration": 0.09552, "end_time": "2021-06-09T16:17:36.944945", "exception": false, "start_time": "2021-06-09T16:17:36.849425", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " age sex cp trestbps chol fbs restecg thalach exang oldpeak slope \\\n", "0 52 1 0 125 212 0 1 168 0 1.0 2 \n", "1 53 1 0 140 203 1 0 155 1 3.1 0 \n", "2 70 1 0 145 174 0 1 125 1 2.6 0 \n", "3 61 1 0 148 203 0 1 161 0 0.0 2 \n", "4 62 0 0 138 294 1 1 106 0 1.9 1 \n", "\n", " ca thal \n", "0 2 3 \n", "1 0 3 \n", "2 0 3 \n", "3 1 3 \n", "4 3 2 " ] }, "execution_count": 41, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x.head()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.678606Z", "iopub.status.busy": "2022-09-30T13:16:00.678182Z", "iopub.status.idle": "2022-09-30T13:16:00.691888Z", "shell.execute_reply": "2022-09-30T13:16:00.690995Z", "shell.execute_reply.started": "2022-09-30T13:16:00.678574Z" }, "papermill": { "duration": 0.090361, "end_time": "2021-06-09T16:17:37.281366", "exception": false, "start_time": "2021-06-09T16:17:37.191005", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "0 0\n", "1 0\n", "2 0\n", "3 0\n", "4 0\n", "Name: target, dtype: int64" ] }, "execution_count": 42, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y.head()" ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.693289Z", "iopub.status.busy": "2022-09-30T13:16:00.693002Z", "iopub.status.idle": "2022-09-30T13:16:00.914505Z", "shell.execute_reply": "2022-09-30T13:16:00.913421Z", "shell.execute_reply.started": "2022-09-30T13:16:00.693261Z" }, "papermill": { "duration": 0.277633, "end_time": "2021-06-09T16:17:37.63914", "exception": false, "start_time": "2021-06-09T16:17:37.361507", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# spltting the dataset into train and test set\n", "from sklearn.model_selection import train_test_split\n", "x_train, x_test, y_train, y_test = train_test_split(x, y, test_size = 0.2, random_state = 31)" ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.917214Z", "iopub.status.busy": "2022-09-30T13:16:00.916777Z", "iopub.status.idle": "2022-09-30T13:16:00.923946Z", "shell.execute_reply": "2022-09-30T13:16:00.922843Z", "shell.execute_reply.started": "2022-09-30T13:16:00.917165Z" } }, "outputs": [ { "data": { "text/plain": [ "(820, 205, 820, 205)" ] }, "execution_count": 44, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(x_train), len(x_test), len(y_train), len(y_test)" ] }, { "cell_type": "code", "execution_count": 45, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.925542Z", "iopub.status.busy": "2022-09-30T13:16:00.925242Z", "iopub.status.idle": "2022-09-30T13:16:00.945586Z", "shell.execute_reply": "2022-09-30T13:16:00.944881Z", "shell.execute_reply.started": "2022-09-30T13:16:00.925515Z" }, "papermill": { "duration": 0.098619, "end_time": "2021-06-09T16:17:37.816334", "exception": false, "start_time": "2021-06-09T16:17:37.717715", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " age sex cp trestbps chol fbs restecg thalach exang oldpeak \\\n", "999 67 1 0 125 254 1 1 163 0 0.2 \n", "208 38 1 2 138 175 0 1 173 0 0.0 \n", "605 71 0 2 110 265 1 0 130 0 0.0 \n", "172 56 1 1 120 240 0 1 169 0 0.0 \n", "385 51 1 2 110 175 0 1 123 0 0.6 \n", "\n", " slope ca thal \n", "999 1 2 3 \n", "208 2 4 2 \n", "605 2 1 2 \n", "172 0 0 2 \n", "385 2 0 2 " ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "x_train.head()" ] }, { "cell_type": "code", "execution_count": 46, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.947251Z", "iopub.status.busy": "2022-09-30T13:16:00.946774Z", "iopub.status.idle": "2022-09-30T13:16:00.960011Z", "shell.execute_reply": "2022-09-30T13:16:00.959053Z", "shell.execute_reply.started": "2022-09-30T13:16:00.947218Z" }, "papermill": { "duration": 0.089998, "end_time": "2021-06-09T16:17:37.985062", "exception": false, "start_time": "2021-06-09T16:17:37.895064", "status": "completed" }, "tags": [] }, "outputs": [ { "data": { "text/plain": [ "999 0\n", "208 1\n", "605 1\n", "172 1\n", "385 1\n", "Name: target, dtype: int64" ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y_train.head()" ] }, { "cell_type": "code", "execution_count": 47, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.961374Z", "iopub.status.busy": "2022-09-30T13:16:00.961083Z", "iopub.status.idle": "2022-09-30T13:16:00.972460Z", "shell.execute_reply": "2022-09-30T13:16:00.971567Z", "shell.execute_reply.started": "2022-09-30T13:16:00.961346Z" } }, "outputs": [], "source": [ "from sklearn import metrics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Logistic Regression" ] }, { "cell_type": "code", "execution_count": 48, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:00.974198Z", "iopub.status.busy": "2022-09-30T13:16:00.973656Z", "iopub.status.idle": "2022-09-30T13:16:01.103607Z", "shell.execute_reply": "2022-09-30T13:16:01.102461Z", "shell.execute_reply.started": "2022-09-30T13:16:00.974162Z" } }, "outputs": [ { "data": { "text/plain": [ "0.881057268722467" ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.linear_model import LogisticRegression\n", "log_clf = LogisticRegression(max_iter=1000, penalty='l2', solver='liblinear', C=0.05, random_state = 4)\n", "log_clf.fit(x_train, y_train)\n", "log_score = metrics.f1_score(y_test, log_clf.predict(x_test))\n", "log_score" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### KNeighbors Classifier" ] }, { "cell_type": "code", "execution_count": 49, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:01.105355Z", "iopub.status.busy": "2022-09-30T13:16:01.104936Z", "iopub.status.idle": "2022-09-30T13:16:01.191873Z", "shell.execute_reply": "2022-09-30T13:16:01.190859Z", "shell.execute_reply.started": "2022-09-30T13:16:01.105320Z" } }, "outputs": [ { "data": { "text/plain": [ "0.9411764705882353" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.neighbors import KNeighborsClassifier\n", "knn_clf = KNeighborsClassifier(algorithm='auto', leaf_size=45, n_neighbors=2, p=1)\n", "knn_clf.fit(x_train, y_train)\n", "knn_score = metrics.f1_score(y_test, knn_clf.predict(x_test))\n", "knn_score" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Random Forest" ] }, { "cell_type": "code", "execution_count": 50, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:16:06.183096Z", "iopub.status.busy": "2022-09-30T13:16:06.182537Z", "iopub.status.idle": "2022-09-30T13:16:06.457604Z", "shell.execute_reply": "2022-09-30T13:16:06.456535Z", "shell.execute_reply.started": "2022-09-30T13:16:06.183051Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0.9823114705882543\n" ] } ], "source": [ "from sklearn.ensemble import RandomForestClassifier\n", "rand_clf = RandomForestClassifier(n_estimators=100, random_state = 35)\n", "rand_clf.fit(x_train, y_train)\n", "ranf_score = metrics.f1_score(y_test, rand_clf.predict(x_test))\n", "ranf_score" ] }, { "cell_type": "code", "execution_count": 51, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:17:57.709540Z", "iopub.status.busy": "2022-09-30T13:17:57.709183Z", "iopub.status.idle": "2022-09-30T13:17:57.714273Z", "shell.execute_reply": "2022-09-30T13:17:57.713135Z", "shell.execute_reply.started": "2022-09-30T13:17:57.709508Z" } }, "outputs": [], "source": [ "# create a dictionary with all scores\n", "score = [{'Model':'Logistic Regression', 'Score': log_score}, \n", " {'Model':'KNN', 'Score': knn_score},\n", " {'Model':'Random Forest', 'Score': ranf_score}]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's view all model score as a dataframe to get a good overview" ] }, { "cell_type": "code", "execution_count": 52, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:18:00.554815Z", "iopub.status.busy": "2022-09-30T13:18:00.554408Z", "iopub.status.idle": "2022-09-30T13:18:00.565939Z", "shell.execute_reply": "2022-09-30T13:18:00.564833Z", "shell.execute_reply.started": "2022-09-30T13:18:00.554781Z" } }, "outputs": [ { "data": { "text/html": [ "
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ModelScore
0Logistic Regression0.881057
1KNN0.941176
2Random Forest0.982311
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" ], "text/plain": [ " Model Score\n", "0 Logistic Regression 0.881057\n", "1 KNN 0.941176\n", "2 Random Forest 0.982311" ] }, "execution_count": 52, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.DataFrame(score, columns=['Model','Score'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Evaluation" ] }, { "cell_type": "code", "execution_count": 53, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:19:22.969339Z", "iopub.status.busy": "2022-09-30T13:19:22.968874Z", "iopub.status.idle": "2022-09-30T13:19:22.991351Z", "shell.execute_reply": "2022-09-30T13:19:22.990404Z", "shell.execute_reply.started": "2022-09-30T13:19:22.969304Z" }, "papermill": { "duration": 0.186851, "end_time": "2021-06-09T16:26:21.901503", "exception": false, "start_time": "2021-06-09T16:26:21.714652", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "# Making preidctions on test set\n", "y_preds = rand_clf.predict(x_test)" ] }, { "cell_type": "code", "execution_count": 54, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:19:25.618630Z", "iopub.status.busy": "2022-09-30T13:19:25.618282Z", "iopub.status.idle": "2022-09-30T13:19:25.622937Z", "shell.execute_reply": "2022-09-30T13:19:25.621682Z", "shell.execute_reply.started": "2022-09-30T13:19:25.618600Z" }, "papermill": { "duration": 0.328322, "end_time": "2021-06-09T16:26:22.491193", "exception": false, "start_time": "2021-06-09T16:26:22.162871", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#plotting roc curve\n", "# from sklearn.metrics import plot_roc_curve\n", "\n", "# plot_roc_curve(rand_clf, x_test, y_test);" ] }, { "cell_type": "code", "execution_count": 55, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:19:27.629595Z", "iopub.status.busy": "2022-09-30T13:19:27.629235Z", "iopub.status.idle": "2022-09-30T13:19:27.633550Z", "shell.execute_reply": "2022-09-30T13:19:27.632705Z", "shell.execute_reply.started": "2022-09-30T13:19:27.629563Z" }, "papermill": { "duration": 0.094123, "end_time": "2021-06-09T16:26:22.669259", "exception": false, "start_time": "2021-06-09T16:26:22.575136", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#confusion matrix\n", "# from sklearn.metrics import plot_confusion_matrix\n", "# plot_confusion_matrix(rand_clf, x_test, y_test,\n", "# cmap=plt.cm.Blues);" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "execution": { "iopub.execute_input": "2022-09-30T13:19:29.202829Z", "iopub.status.busy": "2022-09-30T13:19:29.202113Z", "iopub.status.idle": "2022-09-30T13:19:29.207087Z", "shell.execute_reply": "2022-09-30T13:19:29.205951Z", "shell.execute_reply.started": "2022-09-30T13:19:29.202779Z" }, "papermill": { "duration": 0.100163, "end_time": "2021-06-09T16:26:22.854767", "exception": false, "start_time": "2021-06-09T16:26:22.754604", "status": "completed" }, "tags": [] }, "outputs": [], "source": [ "#classification_report\n", "# from sklearn.metrics import classification_report\n", "# print(classification_report(y_test, y_preds))" ] } ], "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": "3.9.13" } }, "nbformat": 4, "nbformat_minor": 4 }