朴素贝叶斯 发表于 2017-04-25 | 分类于 MachineLearning | | 阅读次数 贝叶斯算法sklearn 贝叶斯分类123456789from sklearn.naive_bayes import GaussianNBfrom sklearn.metrics import accuracy_scoreclf = GaussianNB()# print(labels_train)clf.fit(features_train, labels_train)pred = clf.predict(features_test)accuracy = accuracy_score(pred, labels_test)print("准确率:%f",accuracy) 坚持技术分享,您的支持将鼓励我继续创作! 赏 微信打赏 支付宝打赏