[ASpring]

Can you update the article by holding out a portion of the training set and then using it as an unseen test set?

Otherwise it's impossible to make the comparisons at the end of the article to other results.

[huac]

Yeah, was the model trained using train/test splits? otherwise, the model likely has been severely overfit.

I wonder how this performance would have compared to a simple random forest or MLP model.

[jlamberts]

I was also curious. Using an out-of-the-box weighted random forest, I got an f-score of ~.85 using a 75:25 stratified train-test split.