Question: Python Anna is developing a classification model. She decided to divide her dataset into 80% training and 20% testing. Features in her dataset are in

Python

Python Anna is developing a classification model. She decided to divide her

Anna is developing a classification model. She decided to divide her dataset into 80% training and 20% testing. Features in her dataset are in X, and the corresponding outcomes are in y. Which of the following will help Anna split her dataset and assign features and outcomes of the training set to X_train and y_train and assign features and outcomes of the test set to X_test and y_test from sklearn. model selection import train test split X_train, y_train, X_test, y_test = train test_split (X, y, train size=0.2, test size=0. 8) O from sklearn. model selection import train test split X_train, X_test, y_train, y_test = train test_split (X, y, train size=0.2, test_size=0. 8) from sklearn. model selection import train test split X_train, y_train, X_test, y_test = train test_split (X, y, train size=0.8, test_size=0. 2) from sklearn. model selection import train test split X train, X_test, y_train, y_test = train_test_split (X, y, train size=0. 8, test_size=0. 2)

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