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nuc_machine_learning/Session 7/tutorial 7.ipynb
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{
"cells": [
{
"metadata": {},
"cell_type": "markdown",
"source": "# Activity sheet 7\n# Classification - Support Vector Machine\n**Objective**\n\n In this notebook, you will use SVM (Support Vector Machines) to build and train a model using human cell records, and classify cells to whether the samples are benign or malignant.\n\n**Dataset description**\n\nThe example is based on a dataset that is publicly available from the UCI Machine Learning Repository (Asuncion and Newman, 2007). The dataset consists of several hundred human cell sample records, each of which contains the values of a set of cell characteristics. The ID field contains the patient identifiers. The characteristics of the cell samples from each patient are contained in fields Clump to fit. The values are graded from 1 to 10, with 1 being the closest to benign. The Class field contains the diagnosis, as confirmed by separate medical procedures, as to whether the samples are benign (value = 2) or malignant (value = 4)."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "import pandas as pd\nimport matplotlib.pyplot as plt\nimport matplotlib.colors as colors\nimport seaborn as sns\nimport numpy as np\nfrom sklearn.svm import SVC\nfrom sklearn.metrics import confusion_matrix\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.model_selection import cross_val_score\nfrom sklearn.preprocessing import scale\nfrom sklearn.model_selection import GridSearchCV\nfrom sklearn.decomposition import PCA\nfrom eval_tools import cm_plot",
"execution_count": 1,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## TASK 1 (Data pre-processing)\n1. Load the dataset."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df = pd.read_csv(\"dataset7.csv\")",
"execution_count": 2,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.head()",
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 3,
"data": {
"text/plain": " ID Clump UnifSize UnifShape MargAdh SingEpiSize BareNuc \\\n0 1000025 5 1 1 1 2 1 \n1 1002945 5 4 4 5 7 10 \n2 1015425 3 1 1 1 2 2 \n3 1016277 6 8 8 1 3 4 \n4 1017023 4 1 1 3 2 1 \n\n BlandChrom NormNucl Mit Class \n0 3 1 1 2 \n1 3 2 1 2 \n2 3 1 1 2 \n3 3 7 1 2 \n4 3 1 1 2 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>ID</th>\n <th>Clump</th>\n <th>UnifSize</th>\n <th>UnifShape</th>\n <th>MargAdh</th>\n <th>SingEpiSize</th>\n <th>BareNuc</th>\n <th>BlandChrom</th>\n <th>NormNucl</th>\n <th>Mit</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</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</td>\n <td>3</td>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <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</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</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</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"cell_type": "code",
"source": "df = df.drop([\"ID\"], axis=1)",
"execution_count": 4,
"outputs": []
},
{
"metadata": {
"scrolled": true,
"trusted": true
},
"cell_type": "code",
"source": "df.info()",
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": "<class 'pandas.core.frame.DataFrame'>\nRangeIndex: 699 entries, 0 to 698\nData columns (total 10 columns):\n # Column Non-Null Count Dtype \n--- ------ -------------- ----- \n 0 Clump 699 non-null int64 \n 1 UnifSize 699 non-null int64 \n 2 UnifShape 699 non-null int64 \n 3 MargAdh 699 non-null int64 \n 4 SingEpiSize 699 non-null int64 \n 5 BareNuc 699 non-null object\n 6 BlandChrom 699 non-null int64 \n 7 NormNucl 699 non-null int64 \n 8 Mit 699 non-null int64 \n 9 Class 699 non-null int64 \ndtypes: int64(9), object(1)\nmemory usage: 54.7+ KB\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.Class.unique()",
"execution_count": 6,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 6,
"data": {
"text/plain": "array([2, 4])"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "No missing values"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.apply(lambda x: x.unique())",
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 7,
"data": {
"text/plain": "Clump [5, 3, 6, 4, 8, 1, 2, 7, 10, 9]\nUnifSize [1, 4, 8, 10, 2, 3, 7, 5, 6, 9]\nUnifShape [1, 4, 8, 10, 2, 3, 5, 6, 7, 9]\nMargAdh [1, 5, 3, 8, 10, 4, 6, 2, 9, 7]\nSingEpiSize [2, 7, 3, 1, 6, 4, 5, 8, 10, 9]\nBareNuc [1, 10, 2, 4, 3, 9, 7, ?, 5, 8, 6]\nBlandChrom [3, 9, 1, 2, 4, 5, 7, 8, 6, 10]\nNormNucl [1, 2, 7, 4, 5, 3, 10, 6, 9, 8]\nMit [1, 5, 4, 2, 3, 7, 10, 8, 6]\nClass [2, 4]\ndtype: object"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df[df[\"BareNuc\"].str.isnumeric() == False]",
"execution_count": 8,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 8,
"data": {
"text/plain": " Clump UnifSize UnifShape MargAdh SingEpiSize BareNuc BlandChrom \\\n23 8 4 5 1 2 ? 7 \n40 6 6 6 9 6 ? 7 \n139 1 1 1 1 1 ? 2 \n145 1 1 3 1 2 ? 2 \n158 1 1 2 1 3 ? 1 \n164 5 1 1 1 2 ? 3 \n235 3 1 4 1 2 ? 3 \n249 3 1 1 1 2 ? 3 \n275 3 1 3 1 2 ? 2 \n292 8 8 8 1 2 ? 6 \n294 1 1 1 1 2 ? 2 \n297 5 4 3 1 2 ? 2 \n315 4 6 5 6 7 ? 4 \n321 3 1 1 1 2 ? 3 \n411 1 1 1 1 1 ? 2 \n617 1 1 1 1 1 ? 1 \n\n NormNucl Mit Class \n23 3 1 4 \n40 8 1 2 \n139 1 1 2 \n145 1 1 2 \n158 1 1 2 \n164 1 1 2 \n235 1 1 2 \n249 1 1 2 \n275 1 1 2 \n292 10 1 4 \n294 1 1 2 \n297 3 1 2 \n315 9 1 2 \n321 1 1 2 \n411 1 1 2 \n617 1 1 2 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Clump</th>\n <th>UnifSize</th>\n <th>UnifShape</th>\n <th>MargAdh</th>\n <th>SingEpiSize</th>\n <th>BareNuc</th>\n <th>BlandChrom</th>\n <th>NormNucl</th>\n <th>Mit</th>\n <th>Class</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>23</th>\n <td>8</td>\n <td>4</td>\n <td>5</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>7</td>\n <td>3</td>\n <td>1</td>\n <td>4</td>\n </tr>\n <tr>\n <th>40</th>\n <td>6</td>\n <td>6</td>\n <td>6</td>\n <td>9</td>\n <td>6</td>\n <td>?</td>\n <td>7</td>\n <td>8</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>139</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>?</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>145</th>\n <td>1</td>\n <td>1</td>\n <td>3</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>158</th>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>3</td>\n <td>?</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>164</th>\n <td>5</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>235</th>\n <td>3</td>\n <td>1</td>\n <td>4</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>249</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>275</th>\n <td>3</td>\n <td>1</td>\n <td>3</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>292</th>\n <td>8</td>\n <td>8</td>\n <td>8</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>6</td>\n <td>10</td>\n <td>1</td>\n <td>4</td>\n </tr>\n <tr>\n <th>294</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>297</th>\n <td>5</td>\n <td>4</td>\n <td>3</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>2</td>\n <td>3</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>315</th>\n <td>4</td>\n <td>6</td>\n <td>5</td>\n <td>6</td>\n <td>7</td>\n <td>?</td>\n <td>4</td>\n <td>9</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>321</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>?</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>411</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>?</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n <tr>\n <th>617</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>?</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "2. It looks like the ‘BareNuc column includes some values that are not numerical. We can drop those rows."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df = df[df.BareNuc.apply(lambda x: x.isnumeric())]\n# Alternative\n# df.drop(df[df[\"BareNuc\"].str.isnumeric() == False].index)",
"execution_count": 9,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Alternative from Zeljka\n```python\n# Turn values into numeric if it cannot be done (i.e. ? cannot be turned into number ) make it Nan value\ndf[BareNuc] = pd.to_numeric(df[BareNuc], errors=coerce)\n\n# Then simply drop nan\ndf = df.dropna()\n```"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "3. We want the model to predict the value of Class (that is, benign (=2) or malignant (=4)). As this field can have one of only two possible values, we need to change its measurement level to reflect this."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.loc[df[\"Class\"] == 2, \"Class\"] = 0\ndf.loc[df[\"Class\"] == 4, \"Class\"] = 1\n# Alternative\n# df[\"Class\"].replace(2, 0, inplace=True)\n# df[\"Class\"].replace(4, 1, inplace=True)",
"execution_count": 10,
"outputs": []
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Alternative from Zeljka. Much better than mine, I didnt think of else when I tried lambda.\n```python\n# y (target) has to be properly encoded 2 becomes 0 and 4 becomes 1\ndf.Class = df.Class.apply(lambda x: 0 if x == 2 else 1)\n```"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Checking for change."
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.loc[df[\"Class\"] == 2 & 4]",
"execution_count": 11,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 11,
"data": {
"text/plain": " Clump UnifSize UnifShape MargAdh SingEpiSize BareNuc BlandChrom \\\n0 5 1 1 1 2 1 3 \n1 5 4 4 5 7 10 3 \n2 3 1 1 1 2 2 3 \n3 6 8 8 1 3 4 3 \n4 4 1 1 3 2 1 3 \n.. ... ... ... ... ... ... ... \n690 1 1 1 3 2 1 1 \n692 3 1 1 1 2 1 1 \n693 3 1 1 1 2 1 2 \n694 3 1 1 1 3 2 1 \n695 2 1 1 1 2 1 1 \n\n NormNucl Mit Class \n0 1 1 0 \n1 2 1 0 \n2 1 1 0 \n3 7 1 0 \n4 1 1 0 \n.. ... ... ... \n690 1 1 0 \n692 1 1 0 \n693 1 2 0 \n694 1 1 0 \n695 1 1 0 \n\n[444 rows x 10 columns]",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Clump</th>\n <th>UnifSize</th>\n <th>UnifShape</th>\n <th>MargAdh</th>\n <th>SingEpiSize</th>\n <th>BareNuc</th>\n <th>BlandChrom</th>\n <th>NormNucl</th>\n <th>Mit</th>\n <th>Class</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>0</th>\n <td>5</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>1</th>\n <td>5</td>\n <td>4</td>\n <td>4</td>\n <td>5</td>\n <td>7</td>\n <td>10</td>\n <td>3</td>\n <td>2</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>2</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>2</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>3</th>\n <td>6</td>\n <td>8</td>\n <td>8</td>\n <td>1</td>\n <td>3</td>\n <td>4</td>\n <td>3</td>\n <td>7</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>4</th>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n <td>3</td>\n <td>2</td>\n <td>1</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>...</th>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n <td>...</td>\n </tr>\n <tr>\n <th>690</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>3</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>692</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>693</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n <td>0</td>\n </tr>\n <tr>\n <th>694</th>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>3</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>695</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n </tbody>\n</table>\n<p>444 rows × 10 columns</p>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df[10:15]",
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 12,
"data": {
"text/plain": " Clump UnifSize UnifShape MargAdh SingEpiSize BareNuc BlandChrom \\\n10 1 1 1 1 1 1 3 \n11 2 1 1 1 2 1 2 \n12 5 3 3 3 2 3 4 \n13 1 1 1 1 2 3 3 \n14 8 7 5 10 7 9 5 \n\n NormNucl Mit Class \n10 1 1 0 \n11 1 1 0 \n12 4 1 1 \n13 1 1 0 \n14 5 4 1 ",
"text/html": "<div>\n<style scoped>\n .dataframe tbody tr th:only-of-type {\n vertical-align: middle;\n }\n\n .dataframe tbody tr th {\n vertical-align: top;\n }\n\n .dataframe thead th {\n text-align: right;\n }\n</style>\n<table border=\"1\" class=\"dataframe\">\n <thead>\n <tr style=\"text-align: right;\">\n <th></th>\n <th>Clump</th>\n <th>UnifSize</th>\n <th>UnifShape</th>\n <th>MargAdh</th>\n <th>SingEpiSize</th>\n <th>BareNuc</th>\n <th>BlandChrom</th>\n <th>NormNucl</th>\n <th>Mit</th>\n <th>Class</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <th>10</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>11</th>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>2</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>12</th>\n <td>5</td>\n <td>3</td>\n <td>3</td>\n <td>3</td>\n <td>2</td>\n <td>3</td>\n <td>4</td>\n <td>4</td>\n <td>1</td>\n <td>1</td>\n </tr>\n <tr>\n <th>13</th>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>1</td>\n <td>2</td>\n <td>3</td>\n <td>3</td>\n <td>1</td>\n <td>1</td>\n <td>0</td>\n </tr>\n <tr>\n <th>14</th>\n <td>8</td>\n <td>7</td>\n <td>5</td>\n <td>10</td>\n <td>7</td>\n <td>9</td>\n <td>5</td>\n <td>5</td>\n <td>4</td>\n <td>1</td>\n </tr>\n </tbody>\n</table>\n</div>"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Looking at the distribution."
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"cell_type": "code",
"source": "plt.figure(figsize=(10, 8))\nsns.scatterplot(data=df, x=\"Clump\", y=\"UnifSize\", hue=df.Class.tolist(), s=75, palette=[\"green\", \"red\"], legend=\"full\");",
"execution_count": 13,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 720x576 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "df.UnifSize.max()",
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 14,
"data": {
"text/plain": "10"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "4. Split the dataset into train and test set"
},
{
"metadata": {
"run_control": {
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "X = df.drop(\"Class\", axis=1).values.copy()\ny = np.asarray(df.Class).copy()",
"execution_count": 15,
"outputs": []
},
{
"metadata": {
"run_control": {
"marked": false
},
"trusted": true
},
"cell_type": "code",
"source": "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)",
"execution_count": 16,
"outputs": []
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "print(\"Train set:\", X_train.shape, y_train.shape)\nprint(\"Test set:\", X_test.shape, y_test.shape)",
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"text": "Train set: (546, 9) (546,)\nTest set: (137, 9) (137,)\n",
"name": "stdout"
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Alternative from Zeljka\n```python\ntrain, test = train_test_split(df, test_size = 0.2, random_state = 42)\n\n#Divide train set into features and target\ntrain_x = train.iloc[:, :-1].values\ntrain_y = train.iloc[:, -1].values\n\ntest_x = test.iloc[:, :-1].values\ntest_y = test.iloc[:, -1].values\n```"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "X_train",
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 18,
"data": {
"text/plain": "array([[3, 1, 1, ..., 1, 1, 1],\n [7, 9, 4, ..., 5, 3, 3],\n [5, 2, 4, ..., 1, 1, 1],\n ...,\n [10, 5, 7, ..., 3, 3, 8],\n [4, 1, 1, ..., 2, 1, 1],\n [10, 10, 10, ..., 8, 8, 8]], dtype=object)"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## TASK 2 (Model development)\nThe SVM algorithm offers a choice of kernel functions for performing its processing. Basically, mapping data into a higher dimensional space is called kernelling. The mathematical function used for the transformation is known as the kernel function, and can be of different types, such as:"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "1. Linear"
},
{
"metadata": {
"scrolled": false,
"trusted": true
},
"cell_type": "code",
"source": "clf = SVC(kernel=\"linear\").fit(X_train, y_train) #, gamma=\"auto\")\ncross_val_score(clf, X_train, y_train, cv=10, scoring=\"accuracy\")",
"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 19,
"data": {
"text/plain": "array([0.94545455, 1. , 1. , 0.94545455, 0.94545455,\n 0.96363636, 0.98148148, 0.98148148, 0.94444444, 0.94444444])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)\ncm_plot(cm := confusion_matrix(y_test, y_pred), calculate=True)",
"execution_count": 20,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 2 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "clf.coef_",
"execution_count": 21,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 21,
"data": {
"text/plain": "array([[0.17504484, 0.0024926 , 0.16879981, 0.09571568, 0.0525754 ,\n 0.18751442, 0.17646287, 0.10654003, 0.17824587]])"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "2. Polynomial"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "clf = SVC(kernel=\"poly\", gamma=\"auto\").fit(X_train, y_train)\ncross_val_score(clf, X_train, y_train, cv=10, scoring=\"accuracy\")",
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 22,
"data": {
"text/plain": "array([0.96363636, 0.96363636, 0.90909091, 0.90909091, 0.90909091,\n 0.94545455, 0.88888889, 0.98148148, 0.96296296, 0.94444444])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)\ncm_plot(cm := confusion_matrix(y_test, y_pred), calculate=True)",
"execution_count": 23,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 2 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "3. Radial basis function (RBF) "
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "clf = SVC(kernel=\"rbf\", gamma=\"auto\").fit(X_train, y_train)\ncross_val_score(clf, X_train, y_train, cv=10, scoring=\"accuracy\")",
"execution_count": 24,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 24,
"data": {
"text/plain": "array([0.96363636, 0.98181818, 0.94545455, 0.92727273, 0.94545455,\n 0.94545455, 0.94444444, 0.98148148, 0.94444444, 0.98148148])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)\ncm_plot(cm := confusion_matrix(y_test, y_pred), calculate=True)",
"execution_count": 25,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 2 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "4. Sigmoid"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "clf = SVC(kernel=\"sigmoid\", gamma=\"auto\").fit(X_train, y_train)\ncross_val_score(clf, X_train, y_train, cv=10, scoring=\"accuracy\")",
"execution_count": 26,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 26,
"data": {
"text/plain": "array([0.43636364, 0.38181818, 0.41818182, 0.4 , 0.45454545,\n 0.45454545, 0.46296296, 0.38888889, 0.35185185, 0.33333333])"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "y_pred = clf.predict(X_test)\ncm_plot(cm := confusion_matrix(y_test, y_pred))",
"execution_count": 27,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 432x288 with 2 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "# from sklearn.metrics import accuracy_score\n# accuracy_score(y_test, y_pred)\nclf.score(X_test, y_test)",
"execution_count": 28,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 28,
"data": {
"text/plain": "0.35036496350364965"
},
"metadata": {}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "from sklearn.metrics import f1_score\nf1_score(y_test, y_pred, average=\"weighted\")",
"execution_count": 29,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 29,
"data": {
"text/plain": "0.29923061747879265"
},
"metadata": {}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "Each of these functions has its characteristics, its pros and cons, and its equation, but as theres no easy way of knowing which function performs best with any given dataset, we usually choose different functions in turn and compare the results. Lets just use the default, RBF (Radial Basis Function) for this lab."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## TASK 3 (Model evaluation)\nDevelop a small function that prints and plots the confusion matrix. Normalization can be applied by setting `normalize=True`. Next, use Jaccard Index to evaluate the accuracy of your model. Scikit-learn can be used very easily to perform this task."
},
{
"metadata": {},
"cell_type": "markdown",
"source": "***I did this in the step above to see why the RBF kernel was choose. I looks to me like the reason is the TP and FN values, which gives a lot of meaning when determining cancer.***"
},
{
"metadata": {},
"cell_type": "markdown",
"source": "## Bonus\nAfter looking at Zeljkas notebook, decided to also try some of the stuff that she did extra, but different at the same time 🙂"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "pca = PCA() # NOTE: By default, PCA() centers the data, but does not scale it.\nX_train_pca = pca.fit_transform(X_train)\n\ntrain_pc1_coords = X_train_pca[:, 0] \ntrain_pc2_coords = X_train_pca[:, 1]\n\npca_train = np.column_stack((train_pc1_coords, train_pc2_coords))\nclf_svm = SVC(kernel=\"rbf\", gamma=\"auto\")\nclf_svm.fit(pca_train, y_train)\n\n\nX_train_pca = pca.transform(X_train)\n\ntrain_pc1_coords = X_train_pca[:, 0] \ntrain_pc2_coords = X_train_pca[:, 1]\n\nx_min = train_pc1_coords.min() - 1\nx_max = train_pc1_coords.max() + 1\n\ny_min = train_pc2_coords.min() - 1\ny_max = train_pc2_coords.max() + 1\n\nxx_train, yy_train = np.meshgrid(np.arange(start=x_min, stop=x_max, step=0.1),\n np.arange(start=y_min, stop=y_max, step=0.1))\n\n\nZ_train = clf_svm.predict(np.column_stack((xx_train.ravel(), yy_train.ravel())))\nZ_train = Z_train.reshape(xx_train.shape)\n\nfig, ax = plt.subplots(figsize=(10,10))\nax.contourf(xx_train, yy_train, Z_train, alpha=0.1, cmap=\"Blues\")\n\ncmap = colors.ListedColormap(['#4daf4a', '#e41a1c'])\n\nscatter = ax.scatter(train_pc1_coords, train_pc2_coords, c=y_train, \n cmap=cmap, \n s=100, \n edgecolors='k', ## 'k' = black\n alpha=0.7)\n\n\nlegend = ax.legend(scatter.legend_elements()[0], \n scatter.legend_elements()[1],\n loc=\"upper left\")\nlegend.get_texts()[0].set_text(\"No Default\")\nlegend.get_texts()[1].set_text(\"Yes Default\")\n\nax.set_ylabel('PC2')\nax.set_xlabel('PC1')\nax.set_title(\"SVM Decison surface using the PCA transformed/projected features train set\")\n# plt.savefig('svm_default.png')",
"execution_count": 30,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 30,
"data": {
"text/plain": "Text(0.5, 1.0, 'SVM Decison surface using the PCA transformed/projected features train set')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "X_test_pca = pca.transform(X_test)\ntest_pc1_coords = X_test_pca[:, 0] \ntest_pc2_coords = X_test_pca[:, 1]\n\nfig, ax = plt.subplots(figsize=(10,10))\nax.contourf(xx_train, yy_train, Z_train, alpha=0.1, cmap=\"Blues\")\n\ncmap = colors.ListedColormap(['#4daf4a', '#e41a1c'])\nscatter = ax.scatter(test_pc1_coords, test_pc2_coords, c=y_test, \n cmap=cmap, \n s=100, \n edgecolors='k',\n alpha=0.7)\n\nlegend = ax.legend(scatter.legend_elements()[0], \n scatter.legend_elements()[1],\n loc=\"upper left\")\nlegend.get_texts()[0].set_text(\"No Default\")\nlegend.get_texts()[1].set_text(\"Yes Default\")\n\nax.set_ylabel('PC2')\nax.set_xlabel('PC1')\nax.set_title(\"SVM Decison surface using the PCA transformed/projected features test set\")\n# plt.savefig('svm_default.png')",
"execution_count": 31,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 31,
"data": {
"text/plain": "Text(0.5, 1.0, 'SVM Decison surface using the PCA transformed/projected features test set')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {},
"cell_type": "markdown",
"source": "***Trying to find better parameters.***"
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "pca = PCA() # NOTE: By default, PCA() centers the data, but does not scale it.\nX_train_pca = pca.fit_transform(X_train)\n\nper_var = np.round(pca.explained_variance_ratio_* 100, decimals=1)\nlabels = [df.columns[i] for i in range(1, len(per_var)+1)]\n\nplt.figure(figsize=(12, 6))\nplt.bar(x=range(1,len(per_var)+1), height=per_var, tick_label=labels)\nplt.tick_params(axis='x')\nplt.ylabel('Percentage of Explained Variance')\nplt.xlabel('Principal Components')\nplt.title('Scree Plot')\nplt.show()",
"execution_count": 32,
"outputs": [
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 864x432 with 1 Axes>",
"image/png": 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\n"
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}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "train_pc1_coords = X_train_pca[:, 0] \ntrain_pc2_coords = X_train_pca[:, 1]\n\npca_train_scaled = scale(np.column_stack((train_pc1_coords, train_pc2_coords)))\n\nparam_grid = [\n {\"C\": [1, 10, 100, 1000],\n \"gamma\": [\"scale\", 1, 0.1, 0.01, 0.001, 0.0001],\n \"kernel\": [\"linear\", \"poly\", \"rbf\", \"sigmoid\"]},\n]\n\noptimal_params = GridSearchCV(SVC(), param_grid, cv=5, scoring='accuracy', verbose=0)\n\noptimal_params.fit(pca_train_scaled, y_train)\nprint(best := optimal_params.best_params_)",
"execution_count": 33,
"outputs": [
{
"output_type": "stream",
"text": "{'C': 1, 'gamma': 'scale', 'kernel': 'linear'}\n",
"name": "stdout"
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "clf_svm = SVC(kernel=best[\"kernel\"], C=best[\"C\"], gamma=best[\"gamma\"])\nclf_svm.fit(pca_train_scaled, y_train)\n\n\nX_train_pca = pca.transform(X_train)\n#X_test_pca = pca.transform(X_test)\ntrain_pc1_coords = X_train_pca[:, 0] \ntrain_pc2_coords = X_train_pca[:, 1]\n\nx_min = train_pc1_coords.min() - 1\nx_max = train_pc1_coords.max() + 1\n\ny_min = train_pc2_coords.min() - 1\ny_max = train_pc2_coords.max() + 1\n\nxx_train, yy_train = np.meshgrid(np.arange(start=x_min, stop=x_max, step=0.1),\n np.arange(start=y_min, stop=y_max, step=0.1))\n\n\nZ_train = clf_svm.predict(np.column_stack((xx_train.ravel(), yy_train.ravel())))\nZ_train = Z_train.reshape(xx_train.shape)\n\nfig, ax = plt.subplots(figsize=(10,10))\nax.contourf(xx_train, yy_train, Z_train, alpha=0.1, cmap=\"Blues\")\n\ncmap = colors.ListedColormap(['#4daf4a', '#e41a1c'])\n\nscatter = ax.scatter(train_pc1_coords, train_pc2_coords, c=y_train, \n cmap=cmap, \n s=100, \n edgecolors='k', ## 'k' = black\n alpha=0.7)\n\n\nlegend = ax.legend(scatter.legend_elements()[0], \n scatter.legend_elements()[1],\n loc=\"upper left\")\nlegend.get_texts()[0].set_text(\"No Default\")\nlegend.get_texts()[1].set_text(\"Yes Default\")\n\nax.set_ylabel('PC2')\nax.set_xlabel('PC1')\nax.set_title(\"SVM Decison surface using the PCA transformed/projected features train set\")\n# plt.savefig('svm_default.png')",
"execution_count": 34,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 34,
"data": {
"text/plain": "Text(0.5, 1.0, 'SVM Decison surface using the PCA transformed/projected features train set')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
},
"metadata": {
"needs_background": "light"
}
}
]
},
{
"metadata": {
"trusted": true
},
"cell_type": "code",
"source": "X_test_pca = pca.transform(X_test)\ntest_pc1_coords = X_test_pca[:, 0] \ntest_pc2_coords = X_test_pca[:, 1]\n\nfig, ax = plt.subplots(figsize=(10,10))\nax.contourf(xx_train, yy_train, Z_train, alpha=0.1, cmap=\"Blues\")\n\ncmap = colors.ListedColormap(['#4daf4a', '#e41a1c'])\nscatter = ax.scatter(test_pc1_coords, test_pc2_coords, c=y_test, \n cmap=cmap, \n s=100, \n edgecolors='k',\n alpha=0.7)\n\nlegend = ax.legend(scatter.legend_elements()[0], \n scatter.legend_elements()[1],\n loc=\"upper left\")\nlegend.get_texts()[0].set_text(\"No Default\")\nlegend.get_texts()[1].set_text(\"Yes Default\")\n\nax.set_ylabel('PC2')\nax.set_xlabel('PC1')\nax.set_title(\"SVM Decison surface using the PCA transformed/projected features test set\")\n# plt.savefig('svm_default.png')",
"execution_count": 35,
"outputs": [
{
"output_type": "execute_result",
"execution_count": 35,
"data": {
"text/plain": "Text(0.5, 1.0, 'SVM Decison surface using the PCA transformed/projected features test set')"
},
"metadata": {}
},
{
"output_type": "display_data",
"data": {
"text/plain": "<Figure size 720x720 with 1 Axes>",
"image/png": 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\n"
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