40 Algorithms Every Programmer Should Know

Using the naive Bayes algorithm for the classifiers challenge

Now, let's use the naive Bayes algorithm to solve the classifiers challenge:

1. First, we import the GaussianNB() function and use it to train the model:

from sklearn.naive_bayes import GaussianNBclassifier = GaussianNB()classifier.fit(X_train, y_train)

2. Now, let's use the trained model to predict the results. We will use it to predict the labels for our test partition, which is X_test:

Predicting the Test set resultsy_pred = classifier.predict(X_test)cm = metrics.confusion_matrix(y_test, y_pred)cm

3. Now, let's print the confusion matrix:

4. Now, let's print the performance matrices ...