ML之NB：基于NB朴素贝叶斯算法训练20类新闻文本数据集进行多分类预测

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ML之NB：基于NB朴素贝叶斯算法训练20类新闻文本数据集进行多分类预测

输出结果

设计思路

核心代码

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))