Question: 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.
Step by Step Solution
There are 3 Steps involved in it
1 Expert Approved Answer
Step: 1 Unlock
Question Has Been Solved by an Expert!
Get step-by-step solutions from verified subject matter experts
Step: 2 Unlock
Step: 3 Unlock
