NLP Exercise, step 5, solution code fails .check()

[MichelFloyd]

If you run step_5.solution() you get:

def evaluate(model, texts, labels):
        # Get predictions from textcat model
        predicted_class = predict(model, texts)

        # From labels, get the true class as a list of integers (POSITIVE -> 1, NEGATIVE -> 0)
        true_class = [int(each['cats']['POSITIVE']) for each in labels]

        # A boolean or int array indicating correct predictions
        correct_predictions = predicted_class == true_class

        # The accuracy, number of correct predictions divided by all predictions
        accuracy = correct_predictions.mean()

        return accuracy

but if you use that and run step_5.check() it says incorrect. I can't find an answer to this question that passes step_5.check() even though many solutions seem correct and run correctly in the next step.