1) Select the score given by the following code from sklearn import metrics

Precision Score': metrics.precision_score(y_test, y_pred)

Group of answer choices

a. Positive Predictive Value

b. Recall

c. Accuracy

d. Negative predictive value

2) from sklearn import metrics

'Recall Score': metrics.recall_score(y_test, y_pred)Group of answer choices

a.True Positive Rate

b. Accuracy

c. Positive Predictive Value

d. Negative predictive value

3) What the method below does? X_train, X_test, y_train, y_test = train_test_split(data.data, data.target, test_size=0.4)

Group of answer choices

a. produces the training data

b. Splits the data into train and test subsets

c. produces the target output

d. produces the test data