Train Test Split ( Train,Test,validation)

# Drop unnecccessary features and split into training/test sets
features = titanic.drop(['PassengerId', 'Ticket', 'Name', 'Survived'], axis=1)
labels = titanic['Survived']

X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.4, random_state=42)
X_val, X_test, y_val, y_test = train_test_split(X_test, y_test, test_size=0.5, random_state=42)

X_train.head()

# Store it to local
X_train.to_csv('train_features.csv', index=False)
X_val.to_csv('val_features.csv', index=False)
X_test.to_csv('test_features.csv', index=False)

y_train.to_csv('train_labels.csv', index=False)
y_val.to_csv('val_labels.csv', index=False)
y_test.to_csv('test_labels.csv', index=False)