Diraction des données de formation et de test à l'aide de Sklearn
#Let us now split the dataset into train & test
from sklearn.model_selection import train_test_split
x_train,x_test, y_train, y_test = train_test_split(X, y, test_size = 0.30, random_state=0)
print("x_train ",x_train.shape)
print("x_test ",x_test.shape)
print("y_train ",y_train.shape)
print("y_test ",y_test.shape)
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