Which of the following is correct?

You are building recurrent neural network to perform a binary classification.

The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted.

Which of the following is correct?
A . The training loss increases while the validation loss decreases when training the model.
B . The training loss decreases while the validation loss increases when training the model.
C . The training loss stays constant and the validation loss decreases when training the model.
D . The training loss .stays constant and the validation loss stays on a constant value and close to the training loss value when training the model.

View Answer

Answer: B

Explanation:

An overfit model is one where performance on the train set is good and continues to improve, whereas performance on the validation set improves to a point and then begins to degrade.

Reference: https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/