I want to train a CNN with Early Stopping (Keras). The data set is imbalanced, so I have set class_weights to 'balanced' like follows:

class_weights=class_weight.comput_class_weight('balanced', np.unique(y_train),y_train)

I would like also use Early Stopping, and here is the problem. Which metric for monitor should I use? Because I have still balanced the data set with the class weights, shouldn't it be ok when using val_loss?

Hoping for hints and thank you in advance


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.