Evaluating the recommendation engine's accuracy

We can now calculate the accuracy rate of our deep learning model built on Keras.

Getting ready

Evaluating a Sequential model for accuracy requires using the model.evaluate() function within Keras.

How to do it...

We can simply calculate the accuracy score, accuracy_rate, by executing the following script:

score = model.evaluate(xtest_array, ytest_OHE, batch_size=128)
accuracy_rate = score[1]*100
print('accuracy is {}%'.format(round(accuracy_rate,2)))

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