95%5% - 経済統計練習帳

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.neural_network import MLPClassifier
p = load_iris()
x = p.data
y = p.target
x1, x2, y1, y2 = train_test_split(x, y, test_size=0.3, random_state=0)
clf = MLPClassifier(solver="sgd",random_state=0,max_iter=10000)
clf.fit(x1, y1)
print ("識別率：", clf.score(x2, y2))