course: machine learning

using python

Task 3: Run the example codes in "Measuring Success: Training and Testing Data section at once on the Juryter notebook as follows: from sklearn.model_selection import train_test_split X_train, x_test, y train, y_test = train_test_split iris_dataset['data'], iris dataset['target'], random_state=0) print("x_train shape: {}".Format(x_train.shape)) print("y_train shape: ()".format(y_train.shape)) print("x_test shape: {}".format(x_test. shape)) print("y_test shape: {}".Format(y_test.shape)) a. The above example code divides the dataset by 75% and 25% for the train set and test set, respectively. Split the iris dataset into 80% (train set) and 20% (test set) and print train and test set shape. Include your code and results