def test_BayesianClassifier():
"""
Trains Bayesian Classifier on test data and then tests it
"""
train_X, train_y = process_train_data("train.csv")
classifier = BayesianClassifier()
classifier.fit(train_X, train_y)
test_data = pd \
.read_csv("test.csv", encoding="utf8") \
.drop(labels=["id", "Unnamed: 0"], axis=1)
test_X = test_data.drop("label", axis=1)
test_y = test_data.drop("tweet", axis=1)
print("model score: ", classifier.score(test_X, test_y) * 100, "%")
