如何使用keras绘制训练样本数量的精确度？

import matplotlib.pyplot as plt
from keras.models import Sequential
from keras.layers import Dense

model = Sequential()
model.add(Dense(units=10, activation='relu', input_dim=10))
model.add(Dense(units=1, activation='sigmoid'))
model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy'])

history = model.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=10, batch_size=32)

plt.plot(history.history['accuracy'])
plt.plot(history.history['val_accuracy'])
plt.title('Model Accuracy')
plt.xlabel('Epoch')
plt.ylabel('Accuracy')
plt.legend(['Train', 'Test'], loc='upper left')
plt.show()