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X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=101) model = LinearRegression() test_predictions = model.predict(X_test) MAE = mean_absolute_error(y_test, test_predictions) Identify an error in the code.
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=101) model = LinearRegression() test_predictions = model.predict(X_test) MAE = mean_absolute_error(y_test, test_predictions) Identify an error in the code. Assume X is the feature matrix, y is the label vector, and all the necessary import statements have been executed.
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Multidimensional Array Data Management In Databases
Authors: Florin Rusu
1st Edition
1638281483, 978-1638281481
