Issue on page /svm_decoding.html

[Andjelaaaa]

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])))

[PeerHerholz]

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

[bthirion]

You're absolutely right ! Sorry for the mistake

[PeerHerholz]

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.

[pbellec]

was that fixed in the last update @PeerHerholz ?

[PeerHerholz]

Yes, this was updated and fixed in the respective section via #43 .