from sklearn import datasets from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier iris = datasets.load_iris() iris_X = iris.data iris_y = iris.target # print(iris_X[:2]) # print(iris_y) X_train, X_test, y_train, y_test = train_test_split(iris_X, iris_y, test_size=0.3) # print(y_train) knn = KNeighborsClassifier() knn.fit(X_train, y_train) print(knn.predict(X_test)) print(y_test)4822
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8月
Sklearn KNeighborsClassifier 给iris 分类
