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data-science-ipython-notebooks/kaggle/Iris_Species/scikit-learn3-test.ipynb
Md Imam Ahasan 1fe550b7cd
Iris-Species
2021-11-05 02:15:02 +06:00

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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"from sklearn.datasets import load_iris"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"iris = load_iris()"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"iris_dataframe = pd.DataFrame(data= np.c_[iris['data'], iris['target']],\n",
" columns= iris['feature_names'] + ['target'])"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"iris_dataframe['species'] = pd.Categorical.from_codes(iris.target, \n",
" iris.target_names)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
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"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>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>species</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>5.1</td>\n",
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" <td>0.0</td>\n",
" <td>setosa</td>\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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" <th>3</th>\n",
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" <td>5.4</td>\n",
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" <td>0.0</td>\n",
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" <td>4.6</td>\n",
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" <td>0.0</td>\n",
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" <td>5.0</td>\n",
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" <td>0.2</td>\n",
" <td>0.0</td>\n",
" <td>setosa</td>\n",
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" <tr>\n",
" <th>8</th>\n",
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" <td>setosa</td>\n",
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" <th>9</th>\n",
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" <td>0.0</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>5.4</td>\n",
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" <td>0.2</td>\n",
" <td>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</td>\n",
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" <th>12</th>\n",
" <td>4.8</td>\n",
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" <td>0.0</td>\n",
" <td>setosa</td>\n",
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" <td>0.0</td>\n",
" <td>setosa</td>\n",
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" <th>15</th>\n",
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" <td>1.5</td>\n",
" <td>0.4</td>\n",
" <td>0.0</td>\n",
" <td>setosa</td>\n",
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" <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>0.0</td>\n",
" <td>setosa</td>\n",
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" <tr>\n",
" <th>17</th>\n",
" <td>5.1</td>\n",
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" <td>0.3</td>\n",
" <td>0.0</td>\n",
" <td>setosa</td>\n",
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" <th>18</th>\n",
" <td>5.7</td>\n",
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" <td>0.3</td>\n",
" <td>0.0</td>\n",
" <td>setosa</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>5.1</td>\n",
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" <td>0.3</td>\n",
" <td>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</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>0.0</td>\n",
" <td>setosa</td>\n",
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" <td>...</td>\n",
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" <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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</td>\n",
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" <tr>\n",
" <th>123</th>\n",
" <td>6.3</td>\n",
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" <td>4.9</td>\n",
" <td>1.8</td>\n",
" <td>2.0</td>\n",
" <td>virginica</td>\n",
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" <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>2.0</td>\n",
" <td>virginica</td>\n",
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" <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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</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>2.0</td>\n",
" <td>virginica</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>150 rows × 6 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 species \n",
"0 0.0 setosa \n",
"1 0.0 setosa \n",
"2 0.0 setosa \n",
"3 0.0 setosa \n",
"4 0.0 setosa \n",
"5 0.0 setosa \n",
"6 0.0 setosa \n",
"7 0.0 setosa \n",
"8 0.0 setosa \n",
"9 0.0 setosa \n",
"10 0.0 setosa \n",
"11 0.0 setosa \n",
"12 0.0 setosa \n",
"13 0.0 setosa \n",
"14 0.0 setosa \n",
"15 0.0 setosa \n",
"16 0.0 setosa \n",
"17 0.0 setosa \n",
"18 0.0 setosa \n",
"19 0.0 setosa \n",
"20 0.0 setosa \n",
"21 0.0 setosa \n",
"22 0.0 setosa \n",
"23 0.0 setosa \n",
"24 0.0 setosa \n",
"25 0.0 setosa \n",
"26 0.0 setosa \n",
"27 0.0 setosa \n",
"28 0.0 setosa \n",
"29 0.0 setosa \n",
".. ... ... \n",
"120 2.0 virginica \n",
"121 2.0 virginica \n",
"122 2.0 virginica \n",
"123 2.0 virginica \n",
"124 2.0 virginica \n",
"125 2.0 virginica \n",
"126 2.0 virginica \n",
"127 2.0 virginica \n",
"128 2.0 virginica \n",
"129 2.0 virginica \n",
"130 2.0 virginica \n",
"131 2.0 virginica \n",
"132 2.0 virginica \n",
"133 2.0 virginica \n",
"134 2.0 virginica \n",
"135 2.0 virginica \n",
"136 2.0 virginica \n",
"137 2.0 virginica \n",
"138 2.0 virginica \n",
"139 2.0 virginica \n",
"140 2.0 virginica \n",
"141 2.0 virginica \n",
"142 2.0 virginica \n",
"143 2.0 virginica \n",
"144 2.0 virginica \n",
"145 2.0 virginica \n",
"146 2.0 virginica \n",
"147 2.0 virginica \n",
"148 2.0 virginica \n",
"149 2.0 virginica \n",
"\n",
"[150 rows x 6 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"iris_dataframe"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.3"
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"nbformat": 4,
"nbformat_minor": 2
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