我用這段代碼來預測 中 0 和 1 的概率x_test，但結果只有一列概率。我真不知道這一列的概率是0的概率還是1的概率。import numpy as npfrom keras.models import Sequentialfrom keras.layers import Densedata_train = np.array([[0, 0, 0],[0, 1, 0],[0, 2, 0],[0, 3, 0],[1, 0, 0],[2, 0, 0],[3, 0, 0],[1, 1, 1],[2, 1, 1],[1, 2, 1],[3, 1, 1],])data_test = np.array([[1, 3],[0, 4],[5, 0]])x_train = data_train[:, :-1]y_train = data_train[:, -1]x_test = data_testmodel = Sequential()model.add(Dense(512, activation='relu', input_dim=2))model.add(Dense(200, activation='relu'))model.add(Dense(200, activation='relu'))model.add(Dense(128, activation='relu'))model.add(Dense(1, activation='sigmoid'))model.compile(optimizer='rmsprop',              loss='binary_crossentropy',              metrics=['binary_accuracy'])model.fit(x_train, y_train, epochs=5, batch_size=1, verbose=1)predict = model.predict_proba(x_test, batch_size=1)print(predict)結果只有 1 列：[[0.9431795] [0.47065434] [0.08615088]]我想要2列概率，第一列是0的概率，第二列是1的概率，比如這樣： [[0.23334,0.76267]    …… [0.84984,0.15685] [0.16663,0.83291]]如何修復它？