小编nov*_*ieq的帖子

 from sklearn import datasets
 iris = datasets.load_iris()
 from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB
 gnb = GaussianNB()
 y_pred = gnb.fit(iris.data, iris.target).predict(iris.data)
 print("Number of mislabeled points out of a total %d points : %d" % (iris.data.shape[0],(iris.target != y_pred).sum()))

 mnb = MultinomialNB()
 y_pred_mnb = mnb.fit(iris.data, iris.target).predict(iris.data)
 print("Number of mislabeled points out of a total %d points : %d" % (iris.data.shape[0],(iris.target != y_pred_mnb).sum()))

 bnb = BernoulliNB()
 y_pred_bnb = bnb.fit(iris.data, iris.target).predict(iris.data)
 print("Number of mislabeled points out of a total %d points : %d" % (iris.data.shape[0],(iris.target …