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Last active October 3, 2017 21:03
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Tumor Classification"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The dataset used in this analysis contains information about the properties of tumors from various oncology patients, and class labels for whether or not the tumor was known to be cancerous. The goal of this analysis is to develop a model that can separate classify tumors as cancerous or non-cancerous."
]
},
{
"cell_type": "code",
"execution_count": 220,
"metadata": {},
"outputs": [
{
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" <td>1015425</td>\n",
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" <td>2</td>\n",
" <td>2.0</td>\n",
" <td>3</td>\n",
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" <td>1</td>\n",
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" <th>4</th>\n",
" <td>1017023</td>\n",
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"</div>"
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"text/plain": [
" 0 1 2 3 4 5 6 7 8 9 10\n",
"0 1000025 5 1 1 1 2 1.0 3 1 1 2\n",
"1 1002945 5 4 4 5 7 10.0 3 2 1 2\n",
"2 1015425 3 1 1 1 2 2.0 3 1 1 2\n",
"3 1016277 6 8 8 1 3 4.0 3 7 1 2\n",
"4 1017023 4 1 1 3 2 1.0 3 1 1 2"
]
},
"execution_count": 220,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"import pandasql as pdsql\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"# Load in Dataset\n",
"breast_cancer = pd.read_csv(\"./datasets/breast-cancer-wisconsin.data\", header=None, na_values=\"?\")\n",
"breast_cancer.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Attribute Information:\n",
"\n",
"1. Sample code number: id number \n",
"2. Clump Thickness: 1 - 10 \n",
"3. Uniformity of Cell Size: 1 - 10 \n",
"4. Uniformity of Cell Shape: 1 - 10 \n",
"5. Marginal Adhesion: 1 - 10 \n",
"6. Single Epithelial Cell Size: 1 - 10 \n",
"7. Bare Nuclei: 1 - 10 \n",
"8. Bland Chromatin: 1 - 10 \n",
"9. Normal Nucleoli: 1 - 10 \n",
"10. Mitoses: 1 - 10 \n",
"11. Class: (2 for benign, 4 for malignant)"
]
},
{
"cell_type": "code",
"execution_count": 221,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
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" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>patient_id</th>\n",
" <th>sample</th>\n",
" <th>cell_size</th>\n",
" <th>cell_shape</th>\n",
" <th>marginal_adhesion</th>\n",
" <th>single_epi_cell_size</th>\n",
" <th>bare_nuc</th>\n",
" <th>bland_chroma</th>\n",
" <th>norm_nucl</th>\n",
" <th>mitoses</th>\n",
" <th>class</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>1000025</td>\n",
" <td>5</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>1.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1002945</td>\n",
" <td>5</td>\n",
" <td>4</td>\n",
" <td>4</td>\n",
" <td>5</td>\n",
" <td>7</td>\n",
" <td>10.0</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
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" <tr>\n",
" <th>2</th>\n",
" <td>1015425</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>2.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1016277</td>\n",
" <td>6</td>\n",
" <td>8</td>\n",
" <td>8</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>4.0</td>\n",
" <td>3</td>\n",
" <td>7</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1017023</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>1.0</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" </tr>\n",
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"</table>\n",
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],
"text/plain": [
" patient_id sample cell_size cell_shape marginal_adhesion \\\n",
"0 1000025 5 1 1 1 \n",
"1 1002945 5 4 4 5 \n",
"2 1015425 3 1 1 1 \n",
"3 1016277 6 8 8 1 \n",
"4 1017023 4 1 1 3 \n",
"\n",
" single_epi_cell_size bare_nuc bland_chroma norm_nucl mitoses class \n",
"0 2 1.0 3 1 1 2 \n",
"1 7 10.0 3 2 1 2 \n",
"2 2 2.0 3 1 1 2 \n",
"3 3 4.0 3 7 1 2 \n",
"4 2 1.0 3 1 1 2 "
]
},
"execution_count": 221,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Rename columns names\n",
"breast_cancer = breast_cancer.rename(columns = {\n",
" 0 : \"patient_id\",\n",
" 1 : \"sample\",\n",
" 2 : \"cell_size\",\n",
" 3 : \"cell_shape\",\n",
" 4 : \"marginal_adhesion\",\n",
" 5 : \"single_epi_cell_size\",\n",
" 6 : \"bare_nuc\",\n",
" 7 : \"bland_chroma\",\n",
" 8 : \"norm_nucl\",\n",
" 9 : \"mitoses\",\n",
" 10 : \"class\",\n",
"})\n",
"\n",
"breast_cancer.head()"
]
},
{
"cell_type": "code",
"execution_count": 222,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"# Let's identify na data and remove those rows\n",
"breast_cancer[breast_cancer.isnull().any(axis=1)]\n",
"breast_cancer = breast_cancer.dropna()"
]
},
{
"cell_type": "code",
"execution_count": 223,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
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" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>patient_id</th>\n",
" <th>sample</th>\n",
" <th>cell_size</th>\n",
" <th>cell_shape</th>\n",
" <th>marginal_adhesion</th>\n",
" <th>single_epi_cell_size</th>\n",
" <th>bare_nuc</th>\n",
" <th>bland_chroma</th>\n",
" <th>norm_nucl</th>\n",
" <th>mitoses</th>\n",
" <th>class</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>count</th>\n",
" <td>6.830000e+02</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" <td>683.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mean</th>\n",
" <td>1.076720e+06</td>\n",
" <td>4.442167</td>\n",
" <td>3.150805</td>\n",
" <td>3.215227</td>\n",
" <td>2.830161</td>\n",
" <td>3.234261</td>\n",
" <td>3.544656</td>\n",
" <td>3.445095</td>\n",
" <td>2.869693</td>\n",
" <td>1.603221</td>\n",
" <td>2.699854</td>\n",
" </tr>\n",
" <tr>\n",
" <th>std</th>\n",
" <td>6.206440e+05</td>\n",
" <td>2.820761</td>\n",
" <td>3.065145</td>\n",
" <td>2.988581</td>\n",
" <td>2.864562</td>\n",
" <td>2.223085</td>\n",
" <td>3.643857</td>\n",
" <td>2.449697</td>\n",
" <td>3.052666</td>\n",
" <td>1.732674</td>\n",
" <td>0.954592</td>\n",
" </tr>\n",
" <tr>\n",
" <th>min</th>\n",
" <td>6.337500e+04</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25%</th>\n",
" <td>8.776170e+05</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50%</th>\n",
" <td>1.171795e+06</td>\n",
" <td>4.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" <td>1.000000</td>\n",
" <td>3.000000</td>\n",
" <td>1.000000</td>\n",
" <td>1.000000</td>\n",
" <td>2.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>75%</th>\n",
" <td>1.238705e+06</td>\n",
" <td>6.000000</td>\n",
" <td>5.000000</td>\n",
" <td>5.000000</td>\n",
" <td>4.000000</td>\n",
" <td>4.000000</td>\n",
" <td>6.000000</td>\n",
" <td>5.000000</td>\n",
" <td>4.000000</td>\n",
" <td>1.000000</td>\n",
" <td>4.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>max</th>\n",
" <td>1.345435e+07</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>10.000000</td>\n",
" <td>4.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" patient_id sample cell_size cell_shape marginal_adhesion \\\n",
"count 6.830000e+02 683.000000 683.000000 683.000000 683.000000 \n",
"mean 1.076720e+06 4.442167 3.150805 3.215227 2.830161 \n",
"std 6.206440e+05 2.820761 3.065145 2.988581 2.864562 \n",
"min 6.337500e+04 1.000000 1.000000 1.000000 1.000000 \n",
"25% 8.776170e+05 2.000000 1.000000 1.000000 1.000000 \n",
"50% 1.171795e+06 4.000000 1.000000 1.000000 1.000000 \n",
"75% 1.238705e+06 6.000000 5.000000 5.000000 4.000000 \n",
"max 1.345435e+07 10.000000 10.000000 10.000000 10.000000 \n",
"\n",
" single_epi_cell_size bare_nuc bland_chroma norm_nucl mitoses \\\n",
"count 683.000000 683.000000 683.000000 683.000000 683.000000 \n",
"mean 3.234261 3.544656 3.445095 2.869693 1.603221 \n",
"std 2.223085 3.643857 2.449697 3.052666 1.732674 \n",
"min 1.000000 1.000000 1.000000 1.000000 1.000000 \n",
"25% 2.000000 1.000000 2.000000 1.000000 1.000000 \n",
"50% 2.000000 1.000000 3.000000 1.000000 1.000000 \n",
"75% 4.000000 6.000000 5.000000 4.000000 1.000000 \n",
"max 10.000000 10.000000 10.000000 10.000000 10.000000 \n",
"\n",
" class \n",
"count 683.000000 \n",
"mean 2.699854 \n",
"std 0.954592 \n",
"min 2.000000 \n",
"25% 2.000000 \n",
"50% 2.000000 \n",
"75% 4.000000 \n",
"max 4.000000 "
]
},
"execution_count": 223,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"breast_cancer.describe()"
]
},
{
"cell_type": "code",
"execution_count": 224,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x11e1b61d0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"breast_cancer[\"class\"].plot.hist()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As we can see from this histogram, the minority class has a prevalence of approximately 30% (250/800). This means I won't worry too much about class imbalance issues."
]
},
{
"cell_type": "code",
"execution_count": 225,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>patient_id</th>\n",
" <th>sample</th>\n",
" <th>cell_size</th>\n",
" <th>cell_shape</th>\n",
" <th>marginal_adhesion</th>\n",
" <th>single_epi_cell_size</th>\n",
" <th>bare_nuc</th>\n",
" <th>bland_chroma</th>\n",
" <th>norm_nucl</th>\n",
" <th>mitoses</th>\n",
" <th>class</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>patient_id</th>\n",
" <td>1.000000</td>\n",
" <td>-0.056350</td>\n",
" <td>-0.041396</td>\n",
" <td>-0.042221</td>\n",
" <td>-0.069630</td>\n",
" <td>-0.048644</td>\n",
" <td>-0.099248</td>\n",
" <td>-0.061966</td>\n",
" <td>-0.050699</td>\n",
" <td>-0.037972</td>\n",
" <td>-0.084701</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sample</th>\n",
" <td>-0.056350</td>\n",
" <td>1.000000</td>\n",
" <td>0.642481</td>\n",
" <td>0.653470</td>\n",
" <td>0.487829</td>\n",
" <td>0.523596</td>\n",
" <td>0.593091</td>\n",
" <td>0.553742</td>\n",
" <td>0.534066</td>\n",
" <td>0.350957</td>\n",
" <td>0.714790</td>\n",
" </tr>\n",
" <tr>\n",
" <th>cell_size</th>\n",
" <td>-0.041396</td>\n",
" <td>0.642481</td>\n",
" <td>1.000000</td>\n",
" <td>0.907228</td>\n",
" <td>0.706977</td>\n",
" <td>0.753544</td>\n",
" <td>0.691709</td>\n",
" <td>0.755559</td>\n",
" <td>0.719346</td>\n",
" <td>0.460755</td>\n",
" <td>0.820801</td>\n",
" </tr>\n",
" <tr>\n",
" <th>cell_shape</th>\n",
" <td>-0.042221</td>\n",
" <td>0.653470</td>\n",
" <td>0.907228</td>\n",
" <td>1.000000</td>\n",
" <td>0.685948</td>\n",
" <td>0.722462</td>\n",
" <td>0.713878</td>\n",
" <td>0.735344</td>\n",
" <td>0.717963</td>\n",
" <td>0.441258</td>\n",
" <td>0.821891</td>\n",
" </tr>\n",
" <tr>\n",
" <th>marginal_adhesion</th>\n",
" <td>-0.069630</td>\n",
" <td>0.487829</td>\n",
" <td>0.706977</td>\n",
" <td>0.685948</td>\n",
" <td>1.000000</td>\n",
" <td>0.594548</td>\n",
" <td>0.670648</td>\n",
" <td>0.668567</td>\n",
" <td>0.603121</td>\n",
" <td>0.418898</td>\n",
" <td>0.706294</td>\n",
" </tr>\n",
" <tr>\n",
" <th>single_epi_cell_size</th>\n",
" <td>-0.048644</td>\n",
" <td>0.523596</td>\n",
" <td>0.753544</td>\n",
" <td>0.722462</td>\n",
" <td>0.594548</td>\n",
" <td>1.000000</td>\n",
" <td>0.585716</td>\n",
" <td>0.618128</td>\n",
" <td>0.628926</td>\n",
" <td>0.480583</td>\n",
" <td>0.690958</td>\n",
" </tr>\n",
" <tr>\n",
" <th>bare_nuc</th>\n",
" <td>-0.099248</td>\n",
" <td>0.593091</td>\n",
" <td>0.691709</td>\n",
" <td>0.713878</td>\n",
" <td>0.670648</td>\n",
" <td>0.585716</td>\n",
" <td>1.000000</td>\n",
" <td>0.680615</td>\n",
" <td>0.584280</td>\n",
" <td>0.339210</td>\n",
" <td>0.822696</td>\n",
" </tr>\n",
" <tr>\n",
" <th>bland_chroma</th>\n",
" <td>-0.061966</td>\n",
" <td>0.553742</td>\n",
" <td>0.755559</td>\n",
" <td>0.735344</td>\n",
" <td>0.668567</td>\n",
" <td>0.618128</td>\n",
" <td>0.680615</td>\n",
" <td>1.000000</td>\n",
" <td>0.665602</td>\n",
" <td>0.346011</td>\n",
" <td>0.758228</td>\n",
" </tr>\n",
" <tr>\n",
" <th>norm_nucl</th>\n",
" <td>-0.050699</td>\n",
" <td>0.534066</td>\n",
" <td>0.719346</td>\n",
" <td>0.717963</td>\n",
" <td>0.603121</td>\n",
" <td>0.628926</td>\n",
" <td>0.584280</td>\n",
" <td>0.665602</td>\n",
" <td>1.000000</td>\n",
" <td>0.433757</td>\n",
" <td>0.718677</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mitoses</th>\n",
" <td>-0.037972</td>\n",
" <td>0.350957</td>\n",
" <td>0.460755</td>\n",
" <td>0.441258</td>\n",
" <td>0.418898</td>\n",
" <td>0.480583</td>\n",
" <td>0.339210</td>\n",
" <td>0.346011</td>\n",
" <td>0.433757</td>\n",
" <td>1.000000</td>\n",
" <td>0.423448</td>\n",
" </tr>\n",
" <tr>\n",
" <th>class</th>\n",
" <td>-0.084701</td>\n",
" <td>0.714790</td>\n",
" <td>0.820801</td>\n",
" <td>0.821891</td>\n",
" <td>0.706294</td>\n",
" <td>0.690958</td>\n",
" <td>0.822696</td>\n",
" <td>0.758228</td>\n",
" <td>0.718677</td>\n",
" <td>0.423448</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" patient_id sample cell_size cell_shape \\\n",
"patient_id 1.000000 -0.056350 -0.041396 -0.042221 \n",
"sample -0.056350 1.000000 0.642481 0.653470 \n",
"cell_size -0.041396 0.642481 1.000000 0.907228 \n",
"cell_shape -0.042221 0.653470 0.907228 1.000000 \n",
"marginal_adhesion -0.069630 0.487829 0.706977 0.685948 \n",
"single_epi_cell_size -0.048644 0.523596 0.753544 0.722462 \n",
"bare_nuc -0.099248 0.593091 0.691709 0.713878 \n",
"bland_chroma -0.061966 0.553742 0.755559 0.735344 \n",
"norm_nucl -0.050699 0.534066 0.719346 0.717963 \n",
"mitoses -0.037972 0.350957 0.460755 0.441258 \n",
"class -0.084701 0.714790 0.820801 0.821891 \n",
"\n",
" marginal_adhesion single_epi_cell_size bare_nuc \\\n",
"patient_id -0.069630 -0.048644 -0.099248 \n",
"sample 0.487829 0.523596 0.593091 \n",
"cell_size 0.706977 0.753544 0.691709 \n",
"cell_shape 0.685948 0.722462 0.713878 \n",
"marginal_adhesion 1.000000 0.594548 0.670648 \n",
"single_epi_cell_size 0.594548 1.000000 0.585716 \n",
"bare_nuc 0.670648 0.585716 1.000000 \n",
"bland_chroma 0.668567 0.618128 0.680615 \n",
"norm_nucl 0.603121 0.628926 0.584280 \n",
"mitoses 0.418898 0.480583 0.339210 \n",
"class 0.706294 0.690958 0.822696 \n",
"\n",
" bland_chroma norm_nucl mitoses class \n",
"patient_id -0.061966 -0.050699 -0.037972 -0.084701 \n",
"sample 0.553742 0.534066 0.350957 0.714790 \n",
"cell_size 0.755559 0.719346 0.460755 0.820801 \n",
"cell_shape 0.735344 0.717963 0.441258 0.821891 \n",
"marginal_adhesion 0.668567 0.603121 0.418898 0.706294 \n",
"single_epi_cell_size 0.618128 0.628926 0.480583 0.690958 \n",
"bare_nuc 0.680615 0.584280 0.339210 0.822696 \n",
"bland_chroma 1.000000 0.665602 0.346011 0.758228 \n",
"norm_nucl 0.665602 1.000000 0.433757 0.718677 \n",
"mitoses 0.346011 0.433757 1.000000 0.423448 \n",
"class 0.758228 0.718677 0.423448 1.000000 "
]
},
"execution_count": 225,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"breast_cancer.corr()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"It seems as though many of the features are moderately to strongly correlated with each other."
]
},
{
"cell_type": "code",
"execution_count": 226,
"metadata": {},
"outputs": [
{
"data": {
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fspL0oZtZM/AhYFEp5iciUgx3Z8aMGTXTMs8p+o5FZrYn8Evgn939zTyvnwucCzBixIge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\n8Nxhy6iwAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11d9a2400>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"breast_cancer.drop(\"patient_id\", axis=1).plot.box()\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 227,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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OpqDbcRkArKjzOZ8PjSW4+8gs1cgVyzx0ch4hIJEvkyhoHKy4q5r9Kr84GsU0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ZPnV1BVhY8dGSARCfrul0rD5jtnFrFtwU/fs5NQQMOwHUxbpVazeGMmR6luI4Bc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\nOYum80bmfLleF7NktiieOj0lQnodKrOff5a248OPiY6H3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+7t/NGbN/Lj12f5xf+fuPeO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\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K8iKwJITYdIGYnQNRgg7r4o7BiPtVkor4OLolRTTgweeVXzCdbIZ7h6Ikwl48HrhzPMVE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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11ddf5a90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pandas.plotting import scatter_matrix\n",
"scatter_matrix(breast_cancer.drop(\"patient_id\", axis=1), alpha=0.2, figsize=(6, 6), diagonal='kde')\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Data Processing\n",
"Let's start by diving the data up into training and test sets"
]
},
{
"cell_type": "code",
"execution_count": 228,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/site-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" # This is added back by InteractiveShellApp.init_path()\n"
]
}
],
"source": [
"import numpy as np\n",
"from sklearn.model_selection import train_test_split\n",
"from sklearn.model_selection import cross_val_predict\n",
"from sklearn.model_selection import cross_val_score\n",
"from sklearn.metrics import confusion_matrix\n",
"\n",
"# Setup the X and y variables to contain data and classes\n",
"X = breast_cancer.drop([\"patient_id\", \"class\"], axis=1)\n",
"y = breast_cancer[\"class\"]\n",
"y[y == 2] = 0\n",
"y[y == 4] = 1\n",
"\n",
"# Set aside 20% of data for final testing\n",
"X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.20, random_state=42)\n",
"\n",
"# Use the remaining 80% for training and cross validation\n",
"X_train, X_valid, y_train, y_valid = train_test_split(X_train, y_train, test_size=0.33, random_state=42)\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 261,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Most important features\n",
"cell_size 0.288198942818\n",
"cell_shape 0.258950838167\n",
"bare_nuc 0.167610740801\n",
"bland_chroma 0.120112667382\n",
"norm_nucl 0.0538527757331\n",
"single_epi_cell_size 0.0525855053748\n",
"sample 0.0299994051177\n",
"marginal_adhesion 0.0265187082052\n",
"mitoses 0.00217041640183\n",
"Accuracy: [ 0.96747967 0.97520661 0.96694215]\n",
"Recall: [ 0.975 0.94871795 0.94871795]\n"
]
},
{
"data": {
"text/plain": [
"array([[241, 6],\n",
" [ 3, 115]])"
]
},
"execution_count": 261,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from sklearn.ensemble import RandomForestClassifier\n",
"\n",
"rf_model = RandomForestClassifier(n_estimators=1000, max_depth=2, random_state=0)\n",
"rf_model.fit(X_train, y_train)\n",
"\n",
"print(\"Most important features\")\n",
"for features, importances in sorted(dict(zip(breast_cancer.columns.drop([\"patient_id\", \"class\"]), rf_model.feature_importances_)).items(), key=lambda x: x[1], reverse=True):\n",
" print(features, importances)\n",
"\n",
"#rf_y_pred = cross_val_predict(rf_model, X_train, y_train)\n",
"rf_cv = cross_val_score(rf_model, X_train, y_train)\n",
"print(\"Accuracy: \", rf_cv)\n",
"rf_cv = cross_val_score(rf_model, X_train, y_train, scoring=\"recall\")\n",
"print(\"Recall: \", rf_cv)\n",
"confusion_matrix(y_train, rf_model.predict(X_train))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 231,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x11a041da0>"
]
},
"execution_count": 231,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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"text/plain": [
"<matplotlib.figure.Figure at 0x11b551f28>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from sklearn.metrics import precision_recall_curve\n",
"from sklearn.metrics import average_precision_score\n",
"\n",
"y_score = rf_model.predict(X_test)\n",
"\n",
"average_precision = average_precision_score(y_test, y_score)\n",
"\n",
"precision, recall, _ = precision_recall_curve(y_test, y_score)\n",
"\n",
"plt.step(recall, precision, color='b', alpha=0.2,\n",
" where='post')\n",
"plt.fill_between(recall, precision, step='post', alpha=0.2,\n",
" color='b')\n",
"\n",
"plt.xlabel('Recall')\n",
"plt.ylabel('Precision')\n",
"plt.ylim([0.0, 1.05])\n",
"plt.xlim([0.0, 1.0])\n",
"plt.title('2-class Precision-Recall curve: AUC={0:0.2f}'.format(\n",
" average_precision))"
]
},
{
"cell_type": "code",
"execution_count": 259,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[(0.0, 0.0, 2), (0.025316455696202531, 0.93103448275862066, 1), (1.0, 1.0, 0)]\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/local/lib/python3.6/site-packages/sklearn/metrics/ranking.py:542: UndefinedMetricWarning: No positive samples in y_true, true positive value should be meaningless\n",
" UndefinedMetricWarning)\n",
"/usr/local/lib/python3.6/site-packages/sklearn/metrics/ranking.py:534: UndefinedMetricWarning: No negative samples in y_true, false positive value should be meaningless\n",
" UndefinedMetricWarning)\n"
]
},
{
"data": {
"image/png": 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Tpw49evSgXLly8bUKY4KNP4kiRkRaAx2B+e687IELyZj0TVV55plnqFmzJrt2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\nGJOs/wdRYeUimfB5NQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11d7ab780>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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SPqfJSCmllM9pMlJKKeVzXktGIjJLRP4Ske1ZjBcReV1E9onIVhFp5K1YlFJKFWzeLBnN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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x11df8acc0>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fpr, tpr, thresholds = metrics.roc_curve(y_test, y_score)\n",
"print(list(zip(fpr, tpr, thresholds)))\n",
"\n",
"fpr = dict()\n",
"tpr = dict()\n",
"roc_auc = dict()\n",
"for i in range(rf_model.n_classes_):\n",
" fpr[i], tpr[i], _ = roc_curve(y_test[y_test == i], y_score[y_test == i])\n",
" roc_auc[i] = auc(fpr[i], tpr[i])\n",
" \n",
"# Compute micro-average ROC curve and ROC area\n",
"fpr[\"micro\"], tpr[\"micro\"], _ = roc_curve(y_test.ravel(), y_score.ravel())\n",
"roc_auc[\"micro\"] = auc(fpr[\"micro\"], tpr[\"micro\"])\n",
"\n",
"# Plot of a ROC curve for a specific class\n",
"plt.figure()\n",
"plt.plot(fpr[1], tpr[1], label='ROC curve (area = %0.2f)' % roc_auc[1])\n",
"plt.plot([0, 1], [0, 1], 'k--')\n",
"plt.xlim([0.0, 1.0])\n",
"plt.ylim([0.0, 1.05])\n",
"plt.xlabel('False Positive Rate')\n",
"plt.ylabel('True Positive Rate')\n",
"plt.title('Receiver operating characteristic example')\n",
"plt.legend(loc=\"lower right\")\n",
"plt.show()\n",
"\n",
"# Plot ROC curve\n",
"plt.figure()\n",
"plt.plot(fpr[\"micro\"], tpr[\"micro\"],\n",
" label='micro-average ROC curve (area = {0:0.2f})'\n",
" ''.format(roc_auc[\"micro\"]))\n",
"for i in range(n_classes):\n",
" plt.plot(fpr[i], tpr[i], label='ROC curve of class {0} (area = {1:0.2f})'\n",
" ''.format(i, roc_auc[i]))\n",
"\n",
"plt.plot([0, 1], [0, 1], 'k--')\n",
"plt.xlim([0.0, 1.0])\n",
"plt.ylim([0.0, 1.05])\n",
"plt.xlabel('False Positive Rate')\n",
"plt.ylabel('True Positive Rate')\n",
"plt.title('Some extension of Receiver operating characteristic to multi-class')\n",
"plt.legend(loc=\"lower right\")\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Results\n",
"The random forest classifier has very high accuracy, with few false positives and false negatives. The most influential factors are cell size and shape, followed by bare nucleous and bland chromatin. \n",
"\n",
"In terms of model selection, we'd want to choose the model that maximizes recall, and minimizes false negative rate (as that would be deadly in this cancer-related scenario, whereas a false positive would only result in mild annoyance due to clinical follow-up procedures)\n"
]
}
],
"metadata": {
"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": "3.6.1"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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