train_datatest_data features[:train_sample]features[train_sample:classifier naivebayesclassifier train(train_datathe accuracy of the classifier can be computed as followsaccuracy_classifier round( nltk_accuracy(classifiertest_data) print('accuracy str(accuracy_classifier'%'nowwe can predict the outputfor name in namesinputprint(name'==>'classifier classify(extract_features(namei))the above program will generate the following outputnumber of end letters accuracy rajesh -female gaurav -male swati -female shubha -female number of end letters accuracy rajesh -male gaurav -male swati -female shubha -female number of end letters accuracy rajesh -male gaurav -female swati -female shubha -female number of end letters accuracy rajesh -female