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Leaderboard and result reports
Sylvain Chevallier edited this page Jan 11, 2023
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Report for the evaluation of pipelines on MOABB datasets
Data filtered between 7-35 Hz. Epoch length are dataset-dependent and use maximum window length. Average score is computed across subjects.
TODO:
- add sessions above chance level, using combrisson algorithm to compute chance level
- check results on collab (C) and local machine (L) and complete confirmed column
Dataset | Evaluation type | Pipeline | Avg score | Confirmed |
---|---|---|---|---|
001-2014 | WithinSession | CSP + LDA | 0.823360 | L |
MDM | 0.816943 | L | ||
CSP + SVM | 0.828946 | L | ||
Log Variance LDA | 0.779562 | L | ||
Tangent Space LR |
0.874123 |
L | ||
Log Variance SVM | 0.711478 | L | ||
Tangent Space SVM | 0.864214 | L | ||
CSP + optSVM | 0.820544 | L | ||
004-2014 | WithinSession | CSP + LDA |
0.800957 |
L |
MDM | 0.776555 | L | ||
CSP + SVM | 0.796910 | L | ||
Log Variance LDA | 0.785073 | L | ||
Tangent Space LR | 0.800938 | L | ||
Log Variance SVM | 0.779423 | L | ||
Tangent Space SVM | 0.798726 | L | ||
CSP + optSVM | 0.791219 | L | ||
Cho2017 | WithinSession | CSP + LDA | 0.711742 | |
MDM | 0.635015 | |||
CSP + SVM | 0.712101 | |||
Log Variance LDA | 0.645397 | |||
Tangent Space LR |
0.745154 |
|||
Log Variance SVM | 0.661121 | |||
Tangent Space SVM | 0.743365 | |||
CSP + optSVM | 0.706311 | |||
Grosse-Wentrup 2009 | WithinSession | CSP + LDA | 0.764378 | |
MDM | 0.642911 | |||
CSP + SVM | 0.771578 | |||
Log Variance LDA | 0.787111 | |||
Tangent Space LR | 0.876000 | |||
Log Variance SVM | 0.809867 | |||
Tangent Space SVM |
0.884600 |
|||
CSP + optSVM | 0.775644 | |||
Lee2019_MI | WithinSession | CSP + LDA | 0.768815 | |
MDM | 0.702296 | |||
CSP + SVM | 0.769074 | |||
Log Variance LDA | 0.662278 | |||
Tangent Space LR | 0.830926 | |||
Log Variance SVM | 0.740407 | |||
Tangent Space SVM |
0.841815 |
|||
CSP + optSVM | 0.765315 | |||
Physionet Motor Imagery | WithinSession | CSP + LDA | 0.657480 | |
MDM | 0.547599 | |||
CSP + SVM | 0.651111 | |||
Log Variance LDA | 0.619386 | |||
Tangent Space LR | 0.672834 | |||
Log Variance SVM | 0.624919 | |||
Tangent Space SVM |
0.694299 |
|||
CSP + optSVM | 0.648555 | |||
Schirrmeister2017 | WithinSession | CSP + LDA | 0.772348 | |
MDM | 0.615261 | |||
CSP + SVM | 0.771553 | |||
Log Variance LDA | 0.784386 | |||
Tangent Space LR | 0.872200 | |||
Log Variance SVM | 0.787537 | |||
Tangent Space SVM |
0.876428 |
|||
CSP + optSVM | 0.769153 | |||
Shin2017A | WithinSession | CSP + LDA | 0.722989 | |
MDM | 0.629885 | |||
CSP + SVM | 0.713218 | |||
Log Variance LDA | 0.617816 | |||
Tangent Space LR | 0.693103 | |||
Log Variance SVM | 0.615517 | |||
Tangent Space SVM | 0.721839 | |||
CSP + optSVM |
0.729310 |
|||
Weibo 2014 | WithinSession | CSP + LDA | 0.807191 | L |
MDM | 0.588015 | L | ||
CSP + SVM | 0.801518 | L | ||
Log Variance LDA | 0.741323 | L | ||
Tangent Space LR | 0.836191 | L | ||
Log Variance SVM | 0.728597 | L | ||
Tangent Space SVM |
0.837777 |
L | ||
CSP + optSVM | 0.798406 | L | ||
Zhou 2016 | WithinSession | CSP + LDA | 0.931489 | L |
MDM | 0.907018 | L | ||
CSP + SVM | 0.932315 | L | ||
Log Variance LDA | 0.883861 | L | ||
Tangent Space LR |
0.941601 |
L | ||
Log Variance SVM | 0.854676 | L | ||
Tangent Space SVM | 0.938613 | L | ||
CSP + optSVM | 0.928818 | L |
Dataset | Pipeline | Evaluation type | Average score across subjects | Sessions above chance level |
---|
Dataset | Pipeline | Evaluation type | Avg score | #Classes | Confirmed |
---|---|---|---|---|---|
Alexandre Motor Imagery | WithinSession | DLCSPauto + shLDA | 0.606250 | 3 | |
CSP + LDA | 0.610417 | 3 | |||
TS + optSVM | 0.675000 | 3 | |||
MDM | 0.606250 | 3 | |||
CSP + SVM | 0.622917 | 3 | |||
AM + optSVM | 0.497917 | 3 | |||
Tangent Space LR |
0.691667 |
3 | |||
CSP + optSVM | 0.622917 | 3 | |||
Zhou 2016 | WithinSession | DLCSPauto + shLDA | 0.820614 | 3 | |
CSP + LDA | 0.829631 | 3 | |||
TS + optSVM | 0.834106 | 3 | |||
MDM | 0.760476 | 3 | |||
CSP + SVM | 0.831694 | 3 | |||
AM + optSVM | 0.742366 | 3 | |||
Tangent Space LR |
0.848793 |
3 | |||
CSP + optSVM | 0.818829 | 3 | |||
001-2014 | WithinSession | DLCSPauto + shLDA | 0.663070 | 4 | |
CSP + LDA | 0.659941 | 4 | |||
TS + optSVM | 0.714290 | 4 | |||
MDM | 0.616008 | 4 | |||
CSP + SVM | 0.667110 | 4 | |||
AM + optSVM | 0.565252 | 4 | |||
Tangent Space LR |
0.719735 |
4 | |||
CSP + optSVM | 0.660210 | 4 | |||
Physionet Motor Imagery | WithinSession | DLCSPauto + shLDA | 0.468488 | 4 | |
CSP + LDA | 0.477343 | 4 | |||
TS + optSVM | 0.557987 | 4 | |||
MDM | 0.429645 | 4 | |||
CSP + SVM | 0.471500 | 4 | |||
AM + optSVM | 0.458511 | 4 | |||
Tangent Space LR |
0.585544 |
4 | |||
CSP + optSVM | 0.479305 | 4 | |||
Schirrmeister2017 | WithinSession | DLCSPauto + shLDA | 0.728150 | 4 | |
CSP + LDA | 0.729715 | 4 | |||
TS + optSVM | 0.841548 | 4 | |||
MDM | 0.520315 | 4 | |||
CSP + SVM | 0.733400 | 4 | |||
AM + optSVM | 0.726038 | 4 | |||
Tangent Space LR |
0.845914 |
4 | |||
CSP + optSVM | 0.733464 | 4 | |||
Zhou 2016 | WithinSession | DLCSPauto + shLDA | 0.820614 | 4 | |
CSP + LDA | 0.829631 | 4 | |||
TS + optSVM | 0.834106 | 4 | |||
MDM | 0.760476 | 4 | |||
CSP + SVM | 0.831694 | 4 | |||
AM + optSVM | 0.742366 | 4 | |||
Tangent Space LR |
0.848793 |
4 | |||
CSP + optSVM | 0.818829 | 4 | |||
004-2015 | WithinSession | DLCSPauto + shLDA | 0.270952 | 5 | |
CSP + LDA | 0.270754 | 5 | |||
TS + optSVM | 0.450595 | 5 | |||
MDM | 0.241905 | 5 | |||
CSP + SVM | 0.268373 | 5 | |||
AM + optSVM | 0.340794 | 5 | |||
Tangent Space LR | 0.448056 | 5 | |||
CSP + optSVM | 0.267540 | 5 | |||
Physionet Motor Imagery | WithinSession | DLCSPauto + shLDA | 0.468488 | 5 | |
CSP + LDA | 0.477343 | 5 | |||
TS + optSVM | 0.557987 | 5 | |||
MDM | 0.429645 | 5 | |||
CSP + SVM | 0.471500 | 5 | |||
AM + optSVM | 0.458511 | 5 | |||
Tangent Space LR | 0.585544 | 5 | |||
CSP + optSVM | 0.479305 | 5 |