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ML之NB：基于NB樸素貝葉斯算法訓(xùn)練20類新聞文本數(shù)據(jù)集進(jìn)行多分類預(yù)測(cè)

輸出結(jié)果

設(shè)計(jì)思路

核心代碼

vec = CountVectorizer()
X_train = vec.fit_transform(X_train)
X_test = vec.transform(X_test)


mnb = MultinomialNB()
mnb.fit(X_train, y_train)         
y_predict = mnb.predict(X_test)  


print('The accuracy of Naive Bayes Classifier is', mnb.score(X_test, y_test))