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실제값과 예측값을 비교해 맞춘 값의 평균을 확인한다.
(y_test_val == y_predict).mean()
실행 결과
0.6822429906542056
모델에 설정된 손실값을 반환해 정확도를 평가한다.
test_loss, test_acc = model.evaluate(X_test_sp, y_test) test_loss, test_acc
실행 결과
14/14 [==============================] - 4s 308ms/step - loss: 0.9429 - accuracy: 0.6822 (0.9428667426109314, 0.6822429895401001)