用keras做的图像2分类，仅仅跑了5个epoch，
结果：
[[205 0]
[ 0 28]]
keras的AUC为： 1.0
AUC: 1.0000
ACC: 1.0000
Recall: 1.0000
F1-score: 1.0000
Precesion: 1.0000
代码：
data = np.load('.npz')
image_data, label_data= data['image'], data['label']
skf = StratifiedKFold(n_splits=3, shuffle=True)
for train, test in skf.split(image_data, label_data):
train_x=image_data[train]
test_x=image_data[test]
train_y=label_data[train]
test_y=label_data[test]
train_x = np.array(train_x)
test_x = np.array(test_x)
train_x = train_x.reshape(train_x.shape[0],1,28,28)
test_x = test_x.reshape(test_x.shape[0],1,28,28)
train_x = train_x.astype('float32')
test_x = test_x.astype('float32')
train_x /=255
test_x /=255
train_y = np.array(train_y)
test_y = np.array(test_y)
model.compile(optimizer='rmsprop',loss="binary_crossentropy",metrics=["accuracy"])
model.fit(train_x, train_y,batch_size=64,epochs=5,verbose=1,validation_data=(test_x, test_y)])
从结果看，代码存在离谱的错误，请教各位专家，错在哪？谢谢
