I'm collecting some metrics for my model's performance using:
# Evaluate the model on the test data using `evaluate`
print("Evaluate on test data")
results = model.evaluate(test_images)
print("test loss, test acc:", results)
I have an very high loss in this case:
test loss, test acc: [230, 0.769]
How do I interpret these results, is it the sum of errors made during the test data evaluation?
