Naive Bayes Implementation

Problem Create a Naive Bayes classifier that learns from X_train and y_train, then predicts labels for the rows in X_test. The classifier should support two classes. Input X_train: a NumPy feature matrix for the training records. y_train: a NumPy vector containing the training labels. X_test: a NumPy feature matrix containing the records to classify. Output Return a NumPy array containing one predicted label for each row of X_test. Function Signature Examples Example 1…