Prediction Errors Matrix Project
Extend/improve the code to do the following:
– Graph train/val loss and accuracy per epoch (two separate graphs). Use a legend to indicate which line is train and which is val.
– Make sure you do not cause overfitting (as indicated by your plots).
– Improve the accuracy so the error on the test dataset (as computed by sklearn, we’re not talking about loss here) is <17%.
– Show a confusion matrix of the prediction errors.