My model that I made, I got 38/50 point on history and got message “Failed test case: the mean squared error between you training and validation accuracy curves is higher than the desired threshold.
Expected:
a MSE of at most 20%,
but got:
82.113%.”

Can you tell me why? And how to solve this problem?

This means that the training and validation accuracy curves should not be too far off. Remember that you only need to have 80% accuracy for both train and validation sets. Don’t shoot for very high accuracy scores. Focus on generalizing the model by modifying hyper parameters such as: