support vector machine.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SVM is draw a hyper plane in n dimensional space such that it maximizes margin between classficication\n"
     ]
    }
   ],
   "source": [
    "print('SVM is draw a hyper plane in n dimensional space such that it maximizes margin between classficication')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 'target': array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "        0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "        1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "        2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]),\n",
       " 'target_names': array(['setosa', 'versicolor', 'virginica'], dtype='<U10'),\n",
       " 'DESCR': '.. _iris_dataset:\\n\\nIris plants dataset\\n--------------------\\n\\n**Data Set Characteristics:**\\n\\n    :Number of Instances: 150 (50 in each of three classes)\\n    :Number of Attributes: 4 numeric, predictive attributes and the class\\n    :Attribute Information:\\n        - sepal length in cm\\n        - sepal width in cm\\n        - petal length in cm\\n        - petal width in cm\\n        - class:\\n                - Iris-Setosa\\n                - Iris-Versicolour\\n                - Iris-Virginica\\n                \\n    :Summary Statistics:\\n\\n    ============== ==== ==== ======= ===== ====================\\n                    Min  Max   Mean    SD   Class Correlation\\n    ============== ==== ==== ======= ===== ====================\\n    sepal length:   4.3  7.9   5.84   0.83    0.7826\\n    sepal width:    2.0  4.4   3.05   0.43   -0.4194\\n    petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\\n    petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\\n    ============== ==== ==== ======= ===== ====================\\n\\n    :Missing Attribute Values: None\\n    :Class Distribution: 33.3% for each of 3 classes.\\n    :Creator: R.A. Fisher\\n    :Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\\n    :Date: July, 1988\\n\\nThe famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\\nfrom Fisher\\'s paper. Note that it\\'s the same as in R, but not as in the UCI\\nMachine Learning Repository, which has two wrong data points.\\n\\nThis is perhaps the best known database to be found in the\\npattern recognition literature.  Fisher\\'s paper is a classic in the field and\\nis referenced frequently to this day.  (See Duda & Hart, for example.)  The\\ndata set contains 3 classes of 50 instances each, where each class refers to a\\ntype of iris plant.  One class is linearly separable from the other 2; the\\nlatter are NOT linearly separable from each other.\\n\\n.. topic:: References\\n\\n   - Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\\n     Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\\n     Mathematical Statistics\" (John Wiley, NY, 1950).\\n   - Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\\n     (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\\n   - Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\\n     Structure and Classification Rule for Recognition in Partially Exposed\\n     Environments\".  IEEE Transactions on Pattern Analysis and Machine\\n     Intelligence, Vol. PAMI-2, No. 1, 67-71.\\n   - Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\\n     on Information Theory, May 1972, 431-433.\\n   - See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\\n     conceptual clustering system finds 3 classes in the data.\\n   - Many, many more ...',\n",
       " 'feature_names': ['sepal length (cm)',\n",
       "  'sepal width (cm)',\n",
       "  'petal length (cm)',\n",
       "  'petal width (cm)'],\n",
       " 'filename': 'D:\\\\Anaconda\\\\lib\\\\site-packages\\\\sklearn\\\\datasets\\\\data\\\\iris.csv'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris = load_iris()\n",
    "iris"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sepal length (cm)',\n",
       " 'sepal width (cm)',\n",
       " 'petal length (cm)',\n",
       " 'petal width (cm)']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.feature_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iris.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "1                  4.9               3.0                1.4               0.2\n",
       "2                  4.7               3.2                1.3               0.2\n",
       "3                  4.6               3.1                1.5               0.2\n",
       "4                  5.0               3.6                1.4               0.2\n",
       "5                  5.4               3.9                1.7               0.4\n",
       "6                  4.6               3.4                1.4               0.3\n",
       "7                  5.0               3.4                1.5               0.2\n",
       "8                  4.4               2.9                1.4               0.2\n",
       "9                  4.9               3.1                1.5               0.1\n",
       "10                 5.4               3.7                1.5               0.2\n",
       "11                 4.8               3.4                1.6               0.2\n",
       "12                 4.8               3.0                1.4               0.1\n",
       "13                 4.3               3.0                1.1               0.1\n",
       "14                 5.8               4.0                1.2               0.2\n",
       "15                 5.7               4.4                1.5               0.4\n",
       "16                 5.4               3.9                1.3               0.4\n",
       "17                 5.1               3.5                1.4               0.3\n",
       "18                 5.7               3.8                1.7               0.3\n",
       "19                 5.1               3.8                1.5               0.3\n",
       "20                 5.4               3.4                1.7               0.2\n",
       "21                 5.1               3.7                1.5               0.4\n",
       "22                 4.6               3.6                1.0               0.2\n",
       "23                 5.1               3.3                1.7               0.5\n",
       "24                 4.8               3.4                1.9               0.2\n",
       "25                 5.0               3.0                1.6               0.2\n",
       "26                 5.0               3.4                1.6               0.4\n",
       "27                 5.2               3.5                1.5               0.2\n",
       "28                 5.2               3.4                1.4               0.2\n",
       "29                 4.7               3.2                1.6               0.2\n",
       "..                 ...               ...                ...               ...\n",
       "120                6.9               3.2                5.7               2.3\n",
       "121                5.6               2.8                4.9               2.0\n",
       "122                7.7               2.8                6.7               2.0\n",
       "123                6.3               2.7                4.9               1.8\n",
       "124                6.7               3.3                5.7               2.1\n",
       "125                7.2               3.2                6.0               1.8\n",
       "126                6.2               2.8                4.8               1.8\n",
       "127                6.1               3.0                4.9               1.8\n",
       "128                6.4               2.8                5.6               2.1\n",
       "129                7.2               3.0                5.8               1.6\n",
       "130                7.4               2.8                6.1               1.9\n",
       "131                7.9               3.8                6.4               2.0\n",
       "132                6.4               2.8                5.6               2.2\n",
       "133                6.3               2.8                5.1               1.5\n",
       "134                6.1               2.6                5.6               1.4\n",
       "135                7.7               3.0                6.1               2.3\n",
       "136                6.3               3.4                5.6               2.4\n",
       "137                6.4               3.1                5.5               1.8\n",
       "138                6.0               3.0                4.8               1.8\n",
       "139                6.9               3.1                5.4               2.1\n",
       "140                6.7               3.1                5.6               2.4\n",
       "141                6.9               3.1                5.1               2.3\n",
       "142                5.8               2.7                5.1               1.9\n",
       "143                6.8               3.2                5.9               2.3\n",
       "144                6.7               3.3                5.7               2.5\n",
       "145                6.7               3.0                5.2               2.3\n",
       "146                6.3               2.5                5.0               1.9\n",
       "147                6.5               3.0                5.2               2.0\n",
       "148                6.2               3.4                5.4               2.3\n",
       "149                5.9               3.0                5.1               1.8\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.DataFrame(iris.data,columns=iris.feature_names)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['target']=iris.target\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
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       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
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       "      <td>4.7</td>\n",
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       "      <td>4.6</td>\n",
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       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                  5.1               3.5                1.4               0.2   \n",
       "1                  4.9               3.0                1.4               0.2   \n",
       "2                  4.7               3.2                1.3               0.2   \n",
       "3                  4.6               3.1                1.5               0.2   \n",
       "4                  5.0               3.6                1.4               0.2   \n",
       "5                  5.4               3.9                1.7               0.4   \n",
       "6                  4.6               3.4                1.4               0.3   \n",
       "7                  5.0               3.4                1.5               0.2   \n",
       "8                  4.4               2.9                1.4               0.2   \n",
       "9                  4.9               3.1                1.5               0.1   \n",
       "10                 5.4               3.7                1.5               0.2   \n",
       "11                 4.8               3.4                1.6               0.2   \n",
       "12                 4.8               3.0                1.4               0.1   \n",
       "13                 4.3               3.0                1.1               0.1   \n",
       "14                 5.8               4.0                1.2               0.2   \n",
       "15                 5.7               4.4                1.5               0.4   \n",
       "16                 5.4               3.9                1.3               0.4   \n",
       "17                 5.1               3.5                1.4               0.3   \n",
       "18                 5.7               3.8                1.7               0.3   \n",
       "19                 5.1               3.8                1.5               0.3   \n",
       "20                 5.4               3.4                1.7               0.2   \n",
       "21                 5.1               3.7                1.5               0.4   \n",
       "22                 4.6               3.6                1.0               0.2   \n",
       "23                 5.1               3.3                1.7               0.5   \n",
       "24                 4.8               3.4                1.9               0.2   \n",
       "25                 5.0               3.0                1.6               0.2   \n",
       "26                 5.0               3.4                1.6               0.4   \n",
       "27                 5.2               3.5                1.5               0.2   \n",
       "28                 5.2               3.4                1.4               0.2   \n",
       "29                 4.7               3.2                1.6               0.2   \n",
       "..                 ...               ...                ...               ...   \n",
       "120                6.9               3.2                5.7               2.3   \n",
       "121                5.6               2.8                4.9               2.0   \n",
       "122                7.7               2.8                6.7               2.0   \n",
       "123                6.3               2.7                4.9               1.8   \n",
       "124                6.7               3.3                5.7               2.1   \n",
       "125                7.2               3.2                6.0               1.8   \n",
       "126                6.2               2.8                4.8               1.8   \n",
       "127                6.1               3.0                4.9               1.8   \n",
       "128                6.4               2.8                5.6               2.1   \n",
       "129                7.2               3.0                5.8               1.6   \n",
       "130                7.4               2.8                6.1               1.9   \n",
       "131                7.9               3.8                6.4               2.0   \n",
       "132                6.4               2.8                5.6               2.2   \n",
       "133                6.3               2.8                5.1               1.5   \n",
       "134                6.1               2.6                5.6               1.4   \n",
       "135                7.7               3.0                6.1               2.3   \n",
       "136                6.3               3.4                5.6               2.4   \n",
       "137                6.4               3.1                5.5               1.8   \n",
       "138                6.0               3.0                4.8               1.8   \n",
       "139                6.9               3.1                5.4               2.1   \n",
       "140                6.7               3.1                5.6               2.4   \n",
       "141                6.9               3.1                5.1               2.3   \n",
       "142                5.8               2.7                5.1               1.9   \n",
       "143                6.8               3.2                5.9               2.3   \n",
       "144                6.7               3.3                5.7               2.5   \n",
       "145                6.7               3.0                5.2               2.3   \n",
       "146                6.3               2.5                5.0               1.9   \n",
       "147                6.5               3.0                5.2               2.0   \n",
       "148                6.2               3.4                5.4               2.3   \n",
       "149                5.9               3.0                5.1               1.8   \n",
       "\n",
       "     target  \n",
       "0         0  \n",
       "1         0  \n",
       "2         0  \n",
       "3         0  \n",
       "4         0  \n",
       "5         0  \n",
       "6         0  \n",
       "7         0  \n",
       "8         0  \n",
       "9         0  \n",
       "10        0  \n",
       "11        0  \n",
       "12        0  \n",
       "13        0  \n",
       "14        0  \n",
       "15        0  \n",
       "16        0  \n",
       "17        0  \n",
       "18        0  \n",
       "19        0  \n",
       "20        0  \n",
       "21        0  \n",
       "22        0  \n",
       "23        0  \n",
       "24        0  \n",
       "25        0  \n",
       "26        0  \n",
       "27        0  \n",
       "28        0  \n",
       "29        0  \n",
       "..      ...  \n",
       "120       2  \n",
       "121       2  \n",
       "122       2  \n",
       "123       2  \n",
       "124       2  \n",
       "125       2  \n",
       "126       2  \n",
       "127       2  \n",
       "128       2  \n",
       "129       2  \n",
       "130       2  \n",
       "131       2  \n",
       "132       2  \n",
       "133       2  \n",
       "134       2  \n",
       "135       2  \n",
       "136       2  \n",
       "137       2  \n",
       "138       2  \n",
       "139       2  \n",
       "140       2  \n",
       "141       2  \n",
       "142       2  \n",
       "143       2  \n",
       "144       2  \n",
       "145       2  \n",
       "146       2  \n",
       "147       2  \n",
       "148       2  \n",
       "149       2  \n",
       "\n",
       "[150 rows x 5 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
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       "  <tbody>\n",
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       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
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       "      <td>6.4</td>\n",
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       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
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       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
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       "    <tr>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "50                7.0               3.2                4.7               1.4   \n",
       "51                6.4               3.2                4.5               1.5   \n",
       "52                6.9               3.1                4.9               1.5   \n",
       "53                5.5               2.3                4.0               1.3   \n",
       "54                6.5               2.8                4.6               1.5   \n",
       "\n",
       "    target  \n",
       "50       1  \n",
       "51       1  \n",
       "52       1  \n",
       "53       1  \n",
       "54       1  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df.target==1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['flower_name']=df.target.apply(lambda x:iris.target_names[x])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "      <th>flower_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                5.1               3.5                1.4               0.2   \n",
       "1                4.9               3.0                1.4               0.2   \n",
       "2                4.7               3.2                1.3               0.2   \n",
       "3                4.6               3.1                1.5               0.2   \n",
       "4                5.0               3.6                1.4               0.2   \n",
       "\n",
       "   target flower_name  \n",
       "0       0      setosa  \n",
       "1       0      setosa  \n",
       "2       0      setosa  \n",
       "3       0      setosa  \n",
       "4       0      setosa  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "        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>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "      <th>flower_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>5.3</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "45                4.8               3.0                1.4               0.3   \n",
       "46                5.1               3.8                1.6               0.2   \n",
       "47                4.6               3.2                1.4               0.2   \n",
       "48                5.3               3.7                1.5               0.2   \n",
       "49                5.0               3.3                1.4               0.2   \n",
       "50                7.0               3.2                4.7               1.4   \n",
       "51                6.4               3.2                4.5               1.5   \n",
       "52                6.9               3.1                4.9               1.5   \n",
       "53                5.5               2.3                4.0               1.3   \n",
       "54                6.5               2.8                4.6               1.5   \n",
       "\n",
       "    target flower_name  \n",
       "45       0      setosa  \n",
       "46       0      setosa  \n",
       "47       0      setosa  \n",
       "48       0      setosa  \n",
       "49       0      setosa  \n",
       "50       1  versicolor  \n",
       "51       1  versicolor  \n",
       "52       1  versicolor  \n",
       "53       1  versicolor  \n",
       "54       1  versicolor  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[45:55]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df0=df[df.target==0]\n",
    "df1=df[df.target==1]\n",
    "df2=df[df.target==2]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "      <th>flower_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>7.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>5.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>6.5</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "50                7.0               3.2                4.7               1.4   \n",
       "51                6.4               3.2                4.5               1.5   \n",
       "52                6.9               3.1                4.9               1.5   \n",
       "53                5.5               2.3                4.0               1.3   \n",
       "54                6.5               2.8                4.6               1.5   \n",
       "\n",
       "    target flower_name  \n",
       "50       1  versicolor  \n",
       "51       1  versicolor  \n",
       "52       1  versicolor  \n",
       "53       1  versicolor  \n",
       "54       1  versicolor  "
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2026bcb9550>"
      ]
     },
     "execution_count": 28,
     "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": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.xlabel('Sepal length ')\n",
    "plt.ylabel('sepal width')\n",
    "plt.scatter(df0['sepal length (cm)'],df0['sepal width (cm)'],color='green',marker='+')\n",
    "\n",
    "plt.scatter(df1['sepal length (cm)'],df1['sepal width (cm)'],color='red',marker='+')\n",
    "plt.scatter(df2['sepal length (cm)'],df2['sepal width (cm)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x2026bd11e80>"
      ]
     },
     "execution_count": 29,
     "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": [
    "plt.xlabel('petal length ')\n",
    "plt.ylabel('petal width')\n",
    "plt.scatter(df0['petal length (cm)'],df0['petal width (cm)'],color='green',marker='+')\n",
    "\n",
    "plt.scatter(df1['petal length (cm)'],df1['petal width (cm)'],color='red',marker='+')\n",
    "plt.scatter(df2['petal length (cm)'],df2['petal width (cm)'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now train SVM \n"
     ]
    }
   ],
   "source": [
    "print('Now train SVM ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "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>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "      <th>target</th>\n",
       "      <th>flower_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)  \\\n",
       "0                5.1               3.5                1.4               0.2   \n",
       "1                4.9               3.0                1.4               0.2   \n",
       "2                4.7               3.2                1.3               0.2   \n",
       "3                4.6               3.1                1.5               0.2   \n",
       "4                5.0               3.6                1.4               0.2   \n",
       "\n",
       "   target flower_name  \n",
       "0       0      setosa  \n",
       "1       0      setosa  \n",
       "2       0      setosa  \n",
       "3       0      setosa  \n",
       "4       0      setosa  "
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "x=df.drop(['target','flower_name'],axis='columns')\n",
    "y=df.target"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal length (cm)</th>\n",
       "      <th>sepal width (cm)</th>\n",
       "      <th>petal length (cm)</th>\n",
       "      <th>petal width (cm)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
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       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.4</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
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       "      <td>1.4</td>\n",
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       "      <th>7</th>\n",
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       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.4</td>\n",
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       "      <td>1.4</td>\n",
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       "      <th>11</th>\n",
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       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>4.8</td>\n",
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       "      <td>1.4</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.7</td>\n",
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       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>5.4</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
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       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.3</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>4.8</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>5.0</td>\n",
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       "      <td>1.6</td>\n",
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       "      <th>26</th>\n",
       "      <td>5.0</td>\n",
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       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>5.2</td>\n",
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       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
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       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>5.6</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.9</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>6.2</td>\n",
       "      <td>2.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.9</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
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       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
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       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>6.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.5</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.8</td>\n",
       "      <td>1.8</td>\n",
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       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.1</td>\n",
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       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>6.9</td>\n",
       "      <td>3.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>5.8</td>\n",
       "      <td>2.7</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>6.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.9</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.7</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>6.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.2</td>\n",
       "      <td>2.0</td>\n",
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       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>150 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     sepal length (cm)  sepal width (cm)  petal length (cm)  petal width (cm)\n",
       "0                  5.1               3.5                1.4               0.2\n",
       "1                  4.9               3.0                1.4               0.2\n",
       "2                  4.7               3.2                1.3               0.2\n",
       "3                  4.6               3.1                1.5               0.2\n",
       "4                  5.0               3.6                1.4               0.2\n",
       "5                  5.4               3.9                1.7               0.4\n",
       "6                  4.6               3.4                1.4               0.3\n",
       "7                  5.0               3.4                1.5               0.2\n",
       "8                  4.4               2.9                1.4               0.2\n",
       "9                  4.9               3.1                1.5               0.1\n",
       "10                 5.4               3.7                1.5               0.2\n",
       "11                 4.8               3.4                1.6               0.2\n",
       "12                 4.8               3.0                1.4               0.1\n",
       "13                 4.3               3.0                1.1               0.1\n",
       "14                 5.8               4.0                1.2               0.2\n",
       "15                 5.7               4.4                1.5               0.4\n",
       "16                 5.4               3.9                1.3               0.4\n",
       "17                 5.1               3.5                1.4               0.3\n",
       "18                 5.7               3.8                1.7               0.3\n",
       "19                 5.1               3.8                1.5               0.3\n",
       "20                 5.4               3.4                1.7               0.2\n",
       "21                 5.1               3.7                1.5               0.4\n",
       "22                 4.6               3.6                1.0               0.2\n",
       "23                 5.1               3.3                1.7               0.5\n",
       "24                 4.8               3.4                1.9               0.2\n",
       "25                 5.0               3.0                1.6               0.2\n",
       "26                 5.0               3.4                1.6               0.4\n",
       "27                 5.2               3.5                1.5               0.2\n",
       "28                 5.2               3.4                1.4               0.2\n",
       "29                 4.7               3.2                1.6               0.2\n",
       "..                 ...               ...                ...               ...\n",
       "120                6.9               3.2                5.7               2.3\n",
       "121                5.6               2.8                4.9               2.0\n",
       "122                7.7               2.8                6.7               2.0\n",
       "123                6.3               2.7                4.9               1.8\n",
       "124                6.7               3.3                5.7               2.1\n",
       "125                7.2               3.2                6.0               1.8\n",
       "126                6.2               2.8                4.8               1.8\n",
       "127                6.1               3.0                4.9               1.8\n",
       "128                6.4               2.8                5.6               2.1\n",
       "129                7.2               3.0                5.8               1.6\n",
       "130                7.4               2.8                6.1               1.9\n",
       "131                7.9               3.8                6.4               2.0\n",
       "132                6.4               2.8                5.6               2.2\n",
       "133                6.3               2.8                5.1               1.5\n",
       "134                6.1               2.6                5.6               1.4\n",
       "135                7.7               3.0                6.1               2.3\n",
       "136                6.3               3.4                5.6               2.4\n",
       "137                6.4               3.1                5.5               1.8\n",
       "138                6.0               3.0                4.8               1.8\n",
       "139                6.9               3.1                5.4               2.1\n",
       "140                6.7               3.1                5.6               2.4\n",
       "141                6.9               3.1                5.1               2.3\n",
       "142                5.8               2.7                5.1               1.9\n",
       "143                6.8               3.2                5.9               2.3\n",
       "144                6.7               3.3                5.7               2.5\n",
       "145                6.7               3.0                5.2               2.3\n",
       "146                6.3               2.5                5.0               1.9\n",
       "147                6.5               3.0                5.2               2.0\n",
       "148                6.2               3.4                5.4               2.3\n",
       "149                5.9               3.0                5.1               1.8\n",
       "\n",
       "[150 rows x 4 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0\n",
       "1    0\n",
       "2    0\n",
       "3    0\n",
       "4    0\n",
       "Name: target, dtype: int32"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "x_train,x_test,y_train,y_test=train_test_split(x,y,test_size=0.2)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "120"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len (x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Anaconda\\lib\\site-packages\\sklearn\\svm\\base.py:193: FutureWarning: The default value of gamma will change from 'auto' to 'scale' in version 0.22 to account better for unscaled features. Set gamma explicitly to 'auto' or 'scale' to avoid this warning.\n",
      "  \"avoid this warning.\", FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.9666666666666667"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.svm import SVC\n",
    "model=SVC()\n",
    "model.fit(x_test,y_test)\n",
    "model.score(x_test,y_test)"
   ]
  }
 ],
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