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Updated Machine Learning with Iris Dataset.ipynb #3

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15 changes: 15 additions & 0 deletions Machine Learning with Iris Dataset.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -449,6 +449,20 @@
"## Splitting The Data into Training And Testing Dataset"
]
},
{
"cell_type": "code",
"metadata": {
"id": "1RBGzEfbsuEY",
"colab_type": "code",
"colab": {}
},
"source": [
"from sklearn.linear_model import LogisticRegression # for Logistic Regression Algorithm\n",
"from sklearn import metrics"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"execution_count": 21,
Expand All @@ -466,6 +480,7 @@
}
],
"source": [
"from sklearn.model_selection import train_test_split\n",
"train, test = train_test_split(iris, test_size=0.3) # our main data split into train and test\n",
"# the attribute test_size=0.3 splits the data into 70% and 30% ratio. train=70% and test=30%\n",
"print(train.shape)\n",
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