training naive bayes classifier and printing accuracy

training_nb.py

naive_bayes.fit(training_data,y_train)

predictions = naive_bayes.predict(testing_data)

# accuracy: 0.7391304347826086
print('accuracy: {}'.format(accuracy_score(y_test, predictions)))

#using cross-validation
X_whole = count_vector.fit_transform(covid_data['prep_arg'])
y_whole = covid_data['concern']
scores = cross_val_score(naive_bayes, X_whole, y_whole, cv=StratifiedShuffleSplit(n_splits=10, test_size=0.2, random_state=100))

# 0.6652173913043478
print(scores.mean())