after we train the modelwe can then use the trained model to make predictions on our test setwhich we do using the predict(function the predict(function returns an array of predictions for each data instance in the test set we can then print our predictions to get sense of what the model determined use the predict(function with the test set and print the resultsml tutorial make predictions preds gnb predict(testprint(predsrun the code and you'll see the following resultsjupyter notebook with python cell that prints the predicted values of the naive bayes classifier on our test data as you see in the jupyter notebook outputthe predict(function returned an array of and which represent our predicted values for