train_test.py

from sklearn.model_selection import train_test_split

# Creating the training and testing data
X_train, X_test, Y_train, Y_test = train_test_split(X, y, test_size=0.33)

# Initializing an logistic regression object
clf = LogisticRegression()

# Fit the model to training and test sets
clf.fit(X_train,Y_train)

# Accuracy score of the logistic regression model
clf.score(X_test, Y_test)