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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?
Correct Answer: B
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. References: https://machinelearningmastery.com/diagnose-overfitting-underfitting-lstm-models/