Train test validation sklearn

# credit to the user of StackExchange in the source link
# set stratify=y in the function arguments for stratified selection
# random_state has been fixed for reproducibility

from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test 
	= train_test_split(X, y, test_size=0.2, random_state=1) 

# 0.25 x 0.8 = 0.2
X_train, X_val, y_train, y_val 
    = train_test_split(X_train, y_train, test_size=0.25, random_state=1)

Source: datascience.stackexchange.com

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