Forestfires.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d108da8f",
   "metadata": {},
   "source": [
    "## 1. Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a4199336",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "from sklearn import preprocessing\n",
    "from sklearn import metrics\n",
    "import seaborn as sns\n",
    "from sklearn.svm import SVC\n",
    "from sklearn.model_selection import train_test_split\n",
    "from matplotlib import pyplot as plt\n",
    "from sklearn.decomposition import PCA\n",
    "from mlxtend.plotting import plot_decision_regions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "377ad00b",
   "metadata": {},
   "source": [
    "## 2. Importing Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "501f0a19",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>FFMC</th>\n",
       "      <th>DMC</th>\n",
       "      <th>DC</th>\n",
       "      <th>ISI</th>\n",
       "      <th>temp</th>\n",
       "      <th>RH</th>\n",
       "      <th>wind</th>\n",
       "      <th>rain</th>\n",
       "      <th>...</th>\n",
       "      <th>monthfeb</th>\n",
       "      <th>monthjan</th>\n",
       "      <th>monthjul</th>\n",
       "      <th>monthjun</th>\n",
       "      <th>monthmar</th>\n",
       "      <th>monthmay</th>\n",
       "      <th>monthnov</th>\n",
       "      <th>monthoct</th>\n",
       "      <th>monthsep</th>\n",
       "      <th>size_category</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>mar</td>\n",
       "      <td>fri</td>\n",
       "      <td>86.2</td>\n",
       "      <td>26.2</td>\n",
       "      <td>94.3</td>\n",
       "      <td>5.1</td>\n",
       "      <td>8.2</td>\n",
       "      <td>51</td>\n",
       "      <td>6.7</td>\n",
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       "      <td>0</td>\n",
       "      <td>small</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>oct</td>\n",
       "      <td>tue</td>\n",
       "      <td>90.6</td>\n",
       "      <td>35.4</td>\n",
       "      <td>669.1</td>\n",
       "      <td>6.7</td>\n",
       "      <td>18.0</td>\n",
       "      <td>33</td>\n",
       "      <td>0.9</td>\n",
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       "      <th>2</th>\n",
       "      <td>oct</td>\n",
       "      <td>sat</td>\n",
       "      <td>90.6</td>\n",
       "      <td>43.7</td>\n",
       "      <td>686.9</td>\n",
       "      <td>6.7</td>\n",
       "      <td>14.6</td>\n",
       "      <td>33</td>\n",
       "      <td>1.3</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>small</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>mar</td>\n",
       "      <td>fri</td>\n",
       "      <td>91.7</td>\n",
       "      <td>33.3</td>\n",
       "      <td>77.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.3</td>\n",
       "      <td>97</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.2</td>\n",
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       "      <td>0</td>\n",
       "      <td>small</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>mar</td>\n",
       "      <td>sun</td>\n",
       "      <td>89.3</td>\n",
       "      <td>51.3</td>\n",
       "      <td>102.2</td>\n",
       "      <td>9.6</td>\n",
       "      <td>11.4</td>\n",
       "      <td>99</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>small</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>aug</td>\n",
       "      <td>sun</td>\n",
       "      <td>81.6</td>\n",
       "      <td>56.7</td>\n",
       "      <td>665.6</td>\n",
       "      <td>1.9</td>\n",
       "      <td>27.8</td>\n",
       "      <td>32</td>\n",
       "      <td>2.7</td>\n",
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       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>aug</td>\n",
       "      <td>sun</td>\n",
       "      <td>81.6</td>\n",
       "      <td>56.7</td>\n",
       "      <td>665.6</td>\n",
       "      <td>1.9</td>\n",
       "      <td>21.9</td>\n",
       "      <td>71</td>\n",
       "      <td>5.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>large</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>aug</td>\n",
       "      <td>sun</td>\n",
       "      <td>81.6</td>\n",
       "      <td>56.7</td>\n",
       "      <td>665.6</td>\n",
       "      <td>1.9</td>\n",
       "      <td>21.2</td>\n",
       "      <td>70</td>\n",
       "      <td>6.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>aug</td>\n",
       "      <td>sat</td>\n",
       "      <td>94.4</td>\n",
       "      <td>146.0</td>\n",
       "      <td>614.7</td>\n",
       "      <td>11.3</td>\n",
       "      <td>25.6</td>\n",
       "      <td>42</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>small</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>516</th>\n",
       "      <td>nov</td>\n",
       "      <td>tue</td>\n",
       "      <td>79.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>106.7</td>\n",
       "      <td>1.1</td>\n",
       "      <td>11.8</td>\n",
       "      <td>31</td>\n",
       "      <td>4.5</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>small</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>517 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    month  day  FFMC    DMC     DC   ISI  temp  RH  wind  rain  ...  monthfeb  \\\n",
       "0     mar  fri  86.2   26.2   94.3   5.1   8.2  51   6.7   0.0  ...         0   \n",
       "1     oct  tue  90.6   35.4  669.1   6.7  18.0  33   0.9   0.0  ...         0   \n",
       "2     oct  sat  90.6   43.7  686.9   6.7  14.6  33   1.3   0.0  ...         0   \n",
       "3     mar  fri  91.7   33.3   77.5   9.0   8.3  97   4.0   0.2  ...         0   \n",
       "4     mar  sun  89.3   51.3  102.2   9.6  11.4  99   1.8   0.0  ...         0   \n",
       "..    ...  ...   ...    ...    ...   ...   ...  ..   ...   ...  ...       ...   \n",
       "512   aug  sun  81.6   56.7  665.6   1.9  27.8  32   2.7   0.0  ...         0   \n",
       "513   aug  sun  81.6   56.7  665.6   1.9  21.9  71   5.8   0.0  ...         0   \n",
       "514   aug  sun  81.6   56.7  665.6   1.9  21.2  70   6.7   0.0  ...         0   \n",
       "515   aug  sat  94.4  146.0  614.7  11.3  25.6  42   4.0   0.0  ...         0   \n",
       "516   nov  tue  79.5    3.0  106.7   1.1  11.8  31   4.5   0.0  ...         0   \n",
       "\n",
       "     monthjan  monthjul  monthjun  monthmar  monthmay  monthnov  monthoct  \\\n",
       "0           0         0         0         1         0         0         0   \n",
       "1           0         0         0         0         0         0         1   \n",
       "2           0         0         0         0         0         0         1   \n",
       "3           0         0         0         1         0         0         0   \n",
       "4           0         0         0         1         0         0         0   \n",
       "..        ...       ...       ...       ...       ...       ...       ...   \n",
       "512         0         0         0         0         0         0         0   \n",
       "513         0         0         0         0         0         0         0   \n",
       "514         0         0         0         0         0         0         0   \n",
       "515         0         0         0         0         0         0         0   \n",
       "516         0         0         0         0         0         1         0   \n",
       "\n",
       "     monthsep  size_category  \n",
       "0           0          small  \n",
       "1           0          small  \n",
       "2           0          small  \n",
       "3           0          small  \n",
       "4           0          small  \n",
       "..        ...            ...  \n",
       "512         0          large  \n",
       "513         0          large  \n",
       "514         0          large  \n",
       "515         0          small  \n",
       "516         0          small  \n",
       "\n",
       "[517 rows x 31 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df= pd.read_csv(\"forestfires (1).csv\")\n",
    "df1= df.copy()\n",
    "df1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9a42d0ad",
   "metadata": {},
   "source": [
    "## 3. Data Understanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ead2fb3c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No. of observations:517\n",
      "No. of features:31\n"
     ]
    }
   ],
   "source": [
    "print('No. of observations:{}\\nNo. of features:{}'.format(df1.shape[0],df1.shape[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c86b6ecd",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FFMC</th>\n",
       "      <th>DMC</th>\n",
       "      <th>DC</th>\n",
       "      <th>ISI</th>\n",
       "      <th>temp</th>\n",
       "      <th>RH</th>\n",
       "      <th>wind</th>\n",
       "      <th>rain</th>\n",
       "      <th>area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "      <td>517.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>90.644681</td>\n",
       "      <td>110.872340</td>\n",
       "      <td>547.940039</td>\n",
       "      <td>9.021663</td>\n",
       "      <td>18.889168</td>\n",
       "      <td>44.288201</td>\n",
       "      <td>4.017602</td>\n",
       "      <td>0.021663</td>\n",
       "      <td>12.847292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>5.520111</td>\n",
       "      <td>64.046482</td>\n",
       "      <td>248.066192</td>\n",
       "      <td>4.559477</td>\n",
       "      <td>5.806625</td>\n",
       "      <td>16.317469</td>\n",
       "      <td>1.791653</td>\n",
       "      <td>0.295959</td>\n",
       "      <td>63.655818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.700000</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>90.200000</td>\n",
       "      <td>68.600000</td>\n",
       "      <td>437.700000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>15.500000</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>2.700000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>91.600000</td>\n",
       "      <td>108.300000</td>\n",
       "      <td>664.200000</td>\n",
       "      <td>8.400000</td>\n",
       "      <td>19.300000</td>\n",
       "      <td>42.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.520000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>92.900000</td>\n",
       "      <td>142.400000</td>\n",
       "      <td>713.900000</td>\n",
       "      <td>10.800000</td>\n",
       "      <td>22.800000</td>\n",
       "      <td>53.000000</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>6.570000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>96.200000</td>\n",
       "      <td>291.300000</td>\n",
       "      <td>860.600000</td>\n",
       "      <td>56.100000</td>\n",
       "      <td>33.300000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>9.400000</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>1090.840000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             FFMC         DMC          DC         ISI        temp          RH  \\\n",
       "count  517.000000  517.000000  517.000000  517.000000  517.000000  517.000000   \n",
       "mean    90.644681  110.872340  547.940039    9.021663   18.889168   44.288201   \n",
       "std      5.520111   64.046482  248.066192    4.559477    5.806625   16.317469   \n",
       "min     18.700000    1.100000    7.900000    0.000000    2.200000   15.000000   \n",
       "25%     90.200000   68.600000  437.700000    6.500000   15.500000   33.000000   \n",
       "50%     91.600000  108.300000  664.200000    8.400000   19.300000   42.000000   \n",
       "75%     92.900000  142.400000  713.900000   10.800000   22.800000   53.000000   \n",
       "max     96.200000  291.300000  860.600000   56.100000   33.300000  100.000000   \n",
       "\n",
       "             wind        rain         area  \n",
       "count  517.000000  517.000000   517.000000  \n",
       "mean     4.017602    0.021663    12.847292  \n",
       "std      1.791653    0.295959    63.655818  \n",
       "min      0.400000    0.000000     0.000000  \n",
       "25%      2.700000    0.000000     0.000000  \n",
       "50%      4.000000    0.000000     0.520000  \n",
       "75%      4.900000    0.000000     6.570000  \n",
       "max      9.400000    6.400000  1090.840000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1.columns[0:11]].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9c5e769f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "month    0\n",
       "day      0\n",
       "FFMC     0\n",
       "DMC      0\n",
       "DC       0\n",
       "ISI      0\n",
       "temp     0\n",
       "RH       0\n",
       "wind     0\n",
       "rain     0\n",
       "area     0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1[df1.columns[0:11]].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "14305867",
   "metadata": {},
   "source": [
    "### Finding Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cfa4eb74",
   "metadata": {},
   "outputs": [],
   "source": [
    "corr= df1[df1.columns[0:11]].corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "131b5464",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1008 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,14))\n",
    "sns.heatmap(corr,annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da6fb906",
   "metadata": {},
   "source": [
    "### Outlier Check"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2b14dc25",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Rumana\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "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": [
    "ax= sns.boxplot(df1['area'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfa653a7",
   "metadata": {},
   "source": [
    "### There are 3 Outlier instances in our data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "012cfc14",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"figure.figsize\"]= 9,5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "ccbc5f27",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Skew: 12.846933533934868\n",
      "Kurtosis: 194.1407210942299\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,5))\n",
    "print(\"Skew: {}\".format(df1['area'].skew()))\n",
    "print(\"Kurtosis: {}\".format(df1['area'].kurtosis()))\n",
    "ax= sns.kdeplot(df1['area'],shade=True,color='g')\n",
    "plt.xticks([i for i in range(0,1200,50)])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4099a646",
   "metadata": {},
   "source": [
    "#### >>The Data is highly skewed and has large kurtosis value\n",
    "#### >>Majority of the forest fires do not cover a large area, most of the damaged area is under 100 hectares of land"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a0a0ec25",
   "metadata": {},
   "outputs": [],
   "source": [
    "dfa= df1[df1.columns[0:10]]\n",
    "month_colum= dfa.select_dtypes(include='object').columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "696767ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,10))\n",
    "for i,col in enumerate(month_colum,1):\n",
    "    plt.subplot(2,2,i)\n",
    "    sns.countplot(data=dfa,y=col)\n",
    "    plt.subplot(2,2,i+2)\n",
    "    df1[col].value_counts(normalize=True).plot.bar()\n",
    "    plt.ylabel(col)\n",
    "    plt.xlabel('% distribution per category')\n",
    "plt.tight_layout()\n",
    "plt.show()  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "342dcdf1",
   "metadata": {},
   "source": [
    "#### >>Majority of the fire accors in the month Aug and Sep\n",
    "#### >>For Days, Sun and Fri have recorded the most cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "25e92fd7",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_column= dfa.select_dtypes(exclude='object').columns.tolist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "cce94afb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x2880 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FFMC</th>\n",
       "      <th>DMC</th>\n",
       "      <th>DC</th>\n",
       "      <th>ISI</th>\n",
       "      <th>temp</th>\n",
       "      <th>RH</th>\n",
       "      <th>wind</th>\n",
       "      <th>rain</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>skewness</th>\n",
       "      <td>-6.575606</td>\n",
       "      <td>0.547498</td>\n",
       "      <td>-1.100445</td>\n",
       "      <td>2.536325</td>\n",
       "      <td>-0.331172</td>\n",
       "      <td>0.862904</td>\n",
       "      <td>0.571001</td>\n",
       "      <td>19.816344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>kurtosis</th>\n",
       "      <td>67.066041</td>\n",
       "      <td>0.204822</td>\n",
       "      <td>-0.245244</td>\n",
       "      <td>21.458037</td>\n",
       "      <td>0.136166</td>\n",
       "      <td>0.438183</td>\n",
       "      <td>0.054324</td>\n",
       "      <td>421.295964</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               FFMC       DMC        DC        ISI      temp        RH  \\\n",
       "skewness  -6.575606  0.547498 -1.100445   2.536325 -0.331172  0.862904   \n",
       "kurtosis  67.066041  0.204822 -0.245244  21.458037  0.136166  0.438183   \n",
       "\n",
       "              wind        rain  \n",
       "skewness  0.571001   19.816344  \n",
       "kurtosis  0.054324  421.295964  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=(18,40))\n",
    "for i,col in enumerate(num_column,1):\n",
    "    plt.subplot(8,4,i)\n",
    "    sns.kdeplot(df[col],color='g',shade=True)\n",
    "    plt.subplot(8,4,i+10)\n",
    "    df[col].plot.box()\n",
    "plt.tight_layout() \n",
    "plt.show()\n",
    "num_data = df[num_column]\n",
    "pd.DataFrame(data=[num_data.skew(),num_data.kurtosis()],index=['skewness','kurtosis'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ad3a0b7",
   "metadata": {},
   "source": [
    "## 4. SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fd932e8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "X= df1.iloc[:,2:30]\n",
    "y= df1.iloc[:,30]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b2f85ac6",
   "metadata": {},
   "outputs": [],
   "source": [
    "mapping= {'small': 1, 'large': 2}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "627b9610",
   "metadata": {},
   "outputs": [],
   "source": [
    "y= y.replace(mapping)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "987c990b",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test = train_test_split(X,y,test_size= 0.20, stratify= y)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "90a8d6bc",
   "metadata": {},
   "source": [
    "### 4.1 Linear"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "529fa45c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.9711538461538461\n"
     ]
    }
   ],
   "source": [
    "model_linear= SVC(kernel= \"linear\")\n",
    "model_linear.fit(x_train,y_train)\n",
    "pred_test_linear= model_linear.predict(x_test)\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, pred_test_linear))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcdd10cb",
   "metadata": {},
   "source": [
    "### 4.2 Poly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "bf1fb305",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7884615384615384\n"
     ]
    }
   ],
   "source": [
    "model_poly= SVC(kernel= \"poly\")\n",
    "model_poly.fit(x_train,y_train)\n",
    "pred_test_poly= model_poly.predict(x_test)\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, pred_test_poly))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48a97687",
   "metadata": {},
   "source": [
    "### 4.3 RBF"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c6728b87",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7692307692307693\n"
     ]
    }
   ],
   "source": [
    "model_rbf= SVC(kernel= \"rbf\")\n",
    "model_rbf.fit(x_train,y_train)\n",
    "pred_test_rbf= model_rbf.predict(x_test)\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, pred_test_rbf))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6a2c3a3d",
   "metadata": {},
   "source": [
    "### 4.4 Sigmoid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "26f5edbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy: 0.7307692307692307\n"
     ]
    }
   ],
   "source": [
    "model_sigmoid= SVC(kernel= \"sigmoid\")\n",
    "model_sigmoid.fit(x_train,y_train)\n",
    "pred_test_sigmoid= model_sigmoid.predict(x_test)\n",
    "print(\"Accuracy:\",metrics.accuracy_score(y_test, pred_test_sigmoid))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b5dddef",
   "metadata": {},
   "source": [
    "## 4 - Conclusion\n",
    "###### Linear Model gives the best accuracy.\n",
    "Below is an example on how we can plot the data. Using PCA to select only 2 variables\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "04f97bc6",
   "metadata": {},
   "outputs": [],
   "source": [
    "ytt= y_train.to_numpy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "e1b50dc9",
   "metadata": {},
   "outputs": [],
   "source": [
    "pca= PCA(n_components= 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "d20d3bbf",
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train2= pca.fit_transform(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "ffcfa393",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(kernel='linear')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_linear.fit(x_train2,ytt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "d751fac5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVC(kernel='linear')"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "SVC(kernel='linear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "bf07a8a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_decision_regions(x_train2,ytt, clf=model_linear)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "34fa682b",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}