from sklearn import datasets iris = datasets.load_iris() from sklearn.naive_bayes import GaussianNB gnb = GaussianNB() y_pred = gnb.fit(iris.data, iris.target).predict(iris.data) print(“准确率为：”,(iris.target == y_pred).sum()/iris.data.shape[0])
