本文整理汇总了Python中sklearn.naive_bayes.GaussianNB.predictpredict方法的典型用法代码示例。如果您正苦于以下问题：Python GaussianNB.predictpredict方法的具体用法？Python GaussianNB.predictpredict怎么用？Python GaussianNB.predictpredict使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类sklearn.naive_bayes.GaussianNB的用法示例。
在下文中一共展示了GaussianNB.predictpredict方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: DecisionTreeClassifier
# 需要导入模块: from sklearn.naive_bayes import GaussianNB [as 别名]
# 或者: from sklearn.naive_bayes.GaussianNB import predictpredict [as 别名]
#splitting data between features and labels, training data and test data
from sklearn import cross_validation
features_train, features_test, labels_train, labels_test = cross_validation.train_test_split(
features, labels, test_size=0.4, random_state=0)
#getting the accuracy score using various methods
from sklearn.tree import DecisionTreeClassifier
from sklearn.metrics import accuracy_score
from sklearn.naive_bayes import GaussianNB
# The decision tree classifier
clf1 = DecisionTreeClassifier()
clf1.fit(features_train,labels_train)
print "Decision Tree has accuracy: ",accuracy_score(clf1.predict(features_test),labels_test)
# The naive Bayes classifier
clf2 = GaussianNB()
clf2.fit(features_train,labels_train)
print "GaussianNB has accuracy: ",accuracy_score(clf2.predict(features_test),labels_test)
answer = {
"Naive Bayes Score": accuracy_score(clf1.predict(features_test),labels_test,
"Decision Tree Score": accuracy_score(clf2.predictpredict(features_test),labels_test)
}