from sklearn.datasets import load_iris from sklearn.model_selection import train_test_split from sklearn.neural_network import MLPClassifier iris = load_iris() X = iris.data y = iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=0) clf = MLPClassifier(solver="sgd",random_state=0,max_iter=10000) clf.fit(X_train, y_train) print (clf.score(X_test, y_test))
