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1157 lines
334 KiB
1157 lines
334 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"___\n",
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"\n",
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"<a href='http://www.pieriandata.com'><img src='../Pierian_Data_Logo.png'/></a>\n",
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"___\n",
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"<center><em>Copyright by Pierian Data Inc.</em></center>\n",
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"<center><em>For more information, visit us at <a href='http://www.pieriandata.com'>www.pieriandata.com</a></em></center>"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Logistic Regression"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Imports"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import seaborn as sns\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Data\n",
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"\n",
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"An experiment was conducted on 5000 participants to study the effects of age and physical health on hearing loss, specifically the ability to hear high pitched tones. This data displays the result of the study in which participants were evaluated and scored for physical ability and then had to take an audio test (pass/no pass) which evaluated their ability to hear high frequencies. The age of the user was also noted. Is it possible to build a model that would predict someone's liklihood to hear the high frequency sound based solely on their features (age and physical score)?\n",
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"\n",
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"* Features\n",
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"\n",
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" * age - Age of participant in years\n",
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" * physical_score - Score achieved during physical exam\n",
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"\n",
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"* Label/Target\n",
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"\n",
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" * test_result - 0 if no pass, 1 if test passed"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {},
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"outputs": [],
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"source": [
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"df = pd.read_csv('../DATA/hearing_test.csv')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 32,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>age</th>\n",
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" <th>physical_score</th>\n",
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" <th>test_result</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>33.0</td>\n",
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" <td>40.7</td>\n",
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" <td>1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>50.0</td>\n",
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" <td>37.2</td>\n",
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" <td>1</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>52.0</td>\n",
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" <td>24.7</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>56.0</td>\n",
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" <td>31.0</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>35.0</td>\n",
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" <td>42.9</td>\n",
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" <td>1</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" age physical_score test_result\n",
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"0 33.0 40.7 1\n",
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"1 50.0 37.2 1\n",
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"2 52.0 24.7 0\n",
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"3 56.0 31.0 0\n",
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"4 35.0 42.9 1"
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]
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},
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"execution_count": 32,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.head()"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Exploratory Data Analysis and Visualization\n",
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"\n",
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"Feel free to explore the data further on your own."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 5000 entries, 0 to 4999\n",
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"Data columns (total 3 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 age 5000 non-null float64\n",
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" 1 physical_score 5000 non-null float64\n",
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" 2 test_result 5000 non-null int64 \n",
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"dtypes: float64(2), int64(1)\n",
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"memory usage: 117.3 KB\n"
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]
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}
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],
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"source": [
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"df.info()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>age</th>\n",
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" <th>physical_score</th>\n",
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" <th>test_result</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>count</th>\n",
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" <td>5000.000000</td>\n",
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" <td>5000.000000</td>\n",
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" <td>5000.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>mean</th>\n",
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" <td>51.609000</td>\n",
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" <td>32.760260</td>\n",
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" <td>0.600000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>std</th>\n",
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" <td>11.287001</td>\n",
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" <td>8.169802</td>\n",
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" <td>0.489947</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>min</th>\n",
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" <td>18.000000</td>\n",
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" <td>-0.000000</td>\n",
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" <td>0.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>25%</th>\n",
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" <td>43.000000</td>\n",
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" <td>26.700000</td>\n",
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" <td>0.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>50%</th>\n",
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" <td>51.000000</td>\n",
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" <td>35.300000</td>\n",
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" <td>1.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>75%</th>\n",
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" <td>60.000000</td>\n",
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" <td>38.900000</td>\n",
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" <td>1.000000</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>max</th>\n",
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" <td>90.000000</td>\n",
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" <td>50.000000</td>\n",
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" <td>1.000000</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" age physical_score test_result\n",
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"count 5000.000000 5000.000000 5000.000000\n",
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"mean 51.609000 32.760260 0.600000\n",
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"std 11.287001 8.169802 0.489947\n",
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"min 18.000000 -0.000000 0.000000\n",
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"25% 43.000000 26.700000 0.000000\n",
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"50% 51.000000 35.300000 1.000000\n",
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"75% 60.000000 38.900000 1.000000\n",
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"max 90.000000 50.000000 1.000000"
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]
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},
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"execution_count": 34,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df.describe()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 35,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"1 3000\n",
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"0 2000\n",
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"Name: test_result, dtype: int64"
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]
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},
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"execution_count": 35,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df['test_result'].value_counts()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 36,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<AxesSubplot:xlabel='test_result', ylabel='count'>"
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]
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},
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"execution_count": 36,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.countplot(data=df,x='test_result')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='test_result', ylabel='age'>"
|
|
]
|
|
},
|
|
"execution_count": 37,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.boxplot(x='test_result',y='age',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 38,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='test_result', ylabel='physical_score'>"
|
|
]
|
|
},
|
|
"execution_count": 38,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.boxplot(x='test_result',y='physical_score',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 39,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='age', ylabel='physical_score'>"
|
|
]
|
|
},
|
|
"execution_count": 39,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.scatterplot(x='age',y='physical_score',data=df,hue='test_result')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<seaborn.axisgrid.PairGrid at 0x19ceae2fd08>"
|
|
]
|
|
},
|
|
"execution_count": 40,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 420.5x360 with 6 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.pairplot(df,hue='test_result')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:>"
|
|
]
|
|
},
|
|
"execution_count": 41,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.heatmap(df.corr(),annot=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 42,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='physical_score', ylabel='test_result'>"
|
|
]
|
|
},
|
|
"execution_count": 42,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.scatterplot(x='physical_score',y='test_result',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 43,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<AxesSubplot:xlabel='age', ylabel='test_result'>"
|
|
]
|
|
},
|
|
"execution_count": 43,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"sns.scatterplot(x='age',y='test_result',data=df)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"Easily discover new plot types with a google search! Searching for \"3d matplotlib scatter plot\" quickly takes you to: https://matplotlib.org/3.1.1/gallery/mplot3d/scatter3d.html"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 44,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<mpl_toolkits.mplot3d.art3d.Path3DCollection at 0x19ceaf878c8>"
|
|
]
|
|
},
|
|
"execution_count": 44,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"from mpl_toolkits.mplot3d import Axes3D \n",
|
|
"fig = plt.figure()\n",
|
|
"ax = fig.add_subplot(111, projection='3d')\n",
|
|
"ax.scatter(df['age'],df['physical_score'],df['test_result'],c=df['test_result'])"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Train | Test Split and Scaling"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 45,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"X = df.drop('test_result',axis=1)\n",
|
|
"y = df['test_result']"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 46,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.model_selection import train_test_split\n",
|
|
"from sklearn.preprocessing import StandardScaler"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 47,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=101)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 48,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"scaler = StandardScaler()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 49,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"scaled_X_train = scaler.fit_transform(X_train)\n",
|
|
"scaled_X_test = scaler.transform(X_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Logistic Regression Model"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 50,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.linear_model import LogisticRegression"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 51,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# help(LogisticRegression)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 52,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# help(LogisticRegressionCV)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 53,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"log_model = LogisticRegression()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"LogisticRegression()"
|
|
]
|
|
},
|
|
"execution_count": 54,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"log_model.fit(scaled_X_train,y_train)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Coefficient Interpretation\n",
|
|
"\n",
|
|
"Things to remember:\n",
|
|
"\n",
|
|
"* These coeffecients relate to the *odds* and can not be directly interpreted as in linear regression.\n",
|
|
"* We trained on a *scaled* version of the data \n",
|
|
"* It is much easier to understand and interpret the relationship between the coefficients than it is to interpret the coefficients relationship with the probability of the target/label class.\n",
|
|
"\n",
|
|
"Make sure to watch the video explanation, also check out the links below:\n",
|
|
"\n",
|
|
"* https://stats.idre.ucla.edu/stata/faq/how-do-i-interpret-odds-ratios-in-logistic-regression/\n",
|
|
"* https://stats.idre.ucla.edu/other/mult-pkg/faq/general/faq-how-do-i-interpret-odds-ratios-in-logistic-regression/\n",
|
|
"\n",
|
|
"### The odds ratio\n",
|
|
"\n",
|
|
"For a continuous independent variable the odds ratio can be defined as:"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"<img src=\"https://wikimedia.org/api/rest_v1/media/math/render/svg/18dc1087bc50b9c1afee6820aad1858704b43ea3\" >"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"This exponential relationship provides an interpretation for $$\\beta _{1}$$ "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"The odds multiply by $${e^\\beta _{1}}$$ for every 1-unit increase in x."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 55,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[-0.94953524, 3.45991194]])"
|
|
]
|
|
},
|
|
"execution_count": 55,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"log_model.coef_"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"This means:\n",
|
|
"* We can expect the **odds** of passing the test to **decrease** (the original coeff was negative) per unit increase of the age.\n",
|
|
"* We can expect the **odds** of passing the test to **increase** (the original coeff was positive) per unit increase of the physical score.\n",
|
|
"* Based on the ratios with each other, the physical_score indicator is a stronger predictor than age."
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Model Performance on Classification Tasks"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 56,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.metrics import accuracy_score,confusion_matrix,classification_report,plot_confusion_matrix"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 57,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"y_pred = log_model.predict(scaled_X_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 58,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"0.93"
|
|
]
|
|
},
|
|
"execution_count": 58,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"accuracy_score(y_test,y_pred)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 59,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[172, 21],\n",
|
|
" [ 14, 293]], dtype=int64)"
|
|
]
|
|
},
|
|
"execution_count": 59,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"confusion_matrix(y_test,y_pred)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 60,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x19ceb65e588>"
|
|
]
|
|
},
|
|
"execution_count": 60,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_confusion_matrix(log_model,scaled_X_test,y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 61,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x19ceb691b88>"
|
|
]
|
|
},
|
|
"execution_count": 61,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 2 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Scaled so highest value=1\n",
|
|
"plot_confusion_matrix(log_model,scaled_X_test,y_test,normalize='true')"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 62,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
" precision recall f1-score support\n",
|
|
"\n",
|
|
" 0 0.92 0.89 0.91 193\n",
|
|
" 1 0.93 0.95 0.94 307\n",
|
|
"\n",
|
|
" accuracy 0.93 500\n",
|
|
" macro avg 0.93 0.92 0.93 500\n",
|
|
"weighted avg 0.93 0.93 0.93 500\n",
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"source": [
|
|
"print(classification_report(y_test,y_pred))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 63,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"age 32.0\n",
|
|
"physical_score 43.0\n",
|
|
"Name: 141, dtype: float64"
|
|
]
|
|
},
|
|
"execution_count": 63,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"X_train.iloc[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 64,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"1"
|
|
]
|
|
},
|
|
"execution_count": 64,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"y_train.iloc[0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([[0., 1.]])"
|
|
]
|
|
},
|
|
"execution_count": 65,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# 0% probability of 0 class\n",
|
|
"# 100% probability of 1 class\n",
|
|
"log_model.predict_proba(X_train.iloc[0].values.reshape(1, -1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 66,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([1], dtype=int64)"
|
|
]
|
|
},
|
|
"execution_count": 66,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"log_model.predict(X_train.iloc[0].values.reshape(1, -1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Evaluating Curves and AUC\n",
|
|
"\n",
|
|
"**Make sure to watch the video on this!**"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 67,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"from sklearn.metrics import precision_recall_curve,plot_precision_recall_curve,plot_roc_curve"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 70,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<sklearn.metrics._plot.precision_recall_curve.PrecisionRecallDisplay at 0x19cec76dac8>"
|
|
]
|
|
},
|
|
"execution_count": 70,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_precision_recall_curve(log_model,scaled_X_test,y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 71,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x19ceb5c4288>"
|
|
]
|
|
},
|
|
"execution_count": 71,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plot_roc_curve(log_model,scaled_X_test,y_test)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"------\n",
|
|
"------"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"anaconda-cloud": {},
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"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": "3.7.6"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 1
|
|
}
|