/stackoverflow.com/questions/36819287/mlp-classifier-of-scikit-neuralnetwork-not-working-for-xor
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> 发件人: scikit-learn
> [mailto:scikit-learn-bounces+linjia=ruijie.com...@python.org] 代表 Raghav R V
> 发送时间: 2016年11月23日 19:04
> 收件人: Scikit-learn user and developer mailing li
Hi,
If you keep everything at their default values, it seems to work -
```py
from sklearn.neural_network import MLPClassifier
X = [[0, 0], [0, 1], [1, 0], [1, 1]]
y = [0, 1, 1, 0]
clf = MLPClassifier(max_iter=1000)
clf.fit(X, y)
res = clf.predict([[0, 0], [0, 1], [1, 0], [1, 1]])
print(res)
```
Hi everyone
I try to use sklearn.neural_network.MLPClassifier to test the XOR
operation, but I found the result is not satisfied. The following is code, can
you tell me if I use the lib incorrectly?
from sklearn.neural_network import MLPClassifier
X = [[0, 0], [0, 1], [1, 0], [1, 1]]
y =
