Correct the metric and fold wording on the benchmark results page - #1128
Open
bkowshik wants to merge 1 commit into
Open
Correct the metric and fold wording on the benchmark results page#1128bkowshik wants to merge 1 commit into
bkowshik wants to merge 1 commit into
Conversation
bkowshik
force-pushed
the
docs/paper-results-metric-and-fold-wording
branch
from
July 31, 2026 04:12
ea58417 to
6ca7a9f
Compare
bkowshik
marked this pull request as ready for review
July 31, 2026 04:13
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
The benchmark results page says:
Two corrections:
Not always accuracy.
MotorImagery.scoringreturnsroc_aucat exactly two classes andaccuracyabove — so Left vs Right Hand and Right Hand vs Feet are ROC-AUC, All classes is accuracy.Not across folds.
WithinSessionEvaluationaverages folds within(subject, session, pipeline)before returning, so BNCI2014_001 gives 90 fits but 18 rows and the reported spread is between(subject, session)pairs.Found while reproducing the
TS+LRBNCI2014_001 cell — mean 71.9732 against the published 71.97, with 15.46 recovered as the population SD over those 18 rows.Docs only, no code changes.