question archive 1) Load this dataset 2
1) Load this dataset 2
Subject:Computer SciencePrice: Bought3
1) Load this dataset 2. Take the Target variable as 'default' 3. Do not scale the data 4.Split the data using test_size=0.30 and random_state = 1 5. Make a Naive Bayes model 6. Print a classification_report on test data. What is the recall for target classes-No and Yes for the test data ? 1.00 and 0.12 You Selected 1.00 and 0.53 0.70 and 0.42 1.00 and 0.37 x_train , x_test , y_train , y_test = train_test_split (x, y, test_size =0.30 , random_state =1) model = GaussianNB () model.fit (x_train , y_train ) test_predict = model.predict(x_test) print(metrics.classification_report(y_test, test_predict))
