Thanks for the comment, Nicholas! I understand your point but those graphs do have a purpose.

I used 20 percent of the S&P 500 data from the last ten years for validation. This means that the predictions for the last two years (2019 and 2020) on each of those graphs represent predictions on the validation data while the rest are predictions on the training data.

In other words, these graphs simultaneously display the model's performance on the training and validation data. The performance on the training data is close to perfect as expected, but this is not always the case with the validation data.


ML Engineer and Former Researcher

Love podcasts or audiobooks? Learn on the go with our new app.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store