andre/100-Days-Of-ML-Code
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Update Day 13_SVM.py

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wengJJ
2018-09-06 21:54:36 +08:00
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commit 4e56198a4b
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Code/Day 13_SVM.py
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@@ -11,7 +11,7 @@ X = dataset.iloc[:, [2, 3]].values
y = dataset.iloc[:, 4].values y = dataset.iloc[:, 4].values
#Splitting the dataset into the Training set and Test set #Splitting the dataset into the Training set and Test set
from sklearn.cross_validation import train_test_split from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0) X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25, random_state = 0)
#Feature Scaling #Feature Scaling