Update Day 34_Random_Forests.py
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@ -9,7 +9,7 @@ X = dataset.iloc[:, [2, 3]].values
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y = dataset.iloc[:, 4].values
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y = dataset.iloc[:, 4].values
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# Splitting the dataset into the Training set and Test set
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# Splitting the dataset into the Training set and Test set
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from sklearn.cross_validation import train_test_split
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from sklearn.model_selection import train_test_split
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)
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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)
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# Feature Scaling
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# Feature Scaling
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