Open Andjelaaaa opened 1 year ago
Hi @Andjelaaaa,
thank you very much for opening this issue and pointing this out.
I think you are correct. Just checking with @bthirion who prepared and presented this part: that's a typo, right?
Thx again.
Cheers, Peer
You're absolutely right ! Sorry for the mistake
Thx for the reply @bthirion and no worries at all!
@Andjelaaaa would you be up for submitting a small PR to fix this? Otherwise, I can do it as well.
Hi, at the last step where the accuracy is printed for the Fast Regularized Ensembles of models (frem) as follows:
print('F1 scoreswith FREM') for category in categories: print(category, '\t\t {:.2f}'.format(np.mean(decoder.cv_scores_[category])))
Shouldn't it be averaged using frem scores instead of the ones from the decoder model? Hence, it would be:print('F1 scoreswith FREM') for category in categories: print(category, '\t\t {:.2f}'.format(np.mean(frem.cv_scores_[category])))