code: from keras.models import load_model
  import numpy as np
  
  X = np.load("dataset/X_test.npy")
  Y = np.load("dataset/Y_test.npy")
  
  model = load_model("model")
  
  score = model.evaluate(X, Y)
  
  print(score[0], score[1])
  
  # print(np.argmax(model.predict(X[:200]), axis=1))
  # print(np.argmax(model.predict(X), axis=1) == np.argmax(Y, axis=1))
  # print(model.predict(X[:50]))
  
apis: numpy.load