Table 4. Mean accuracies obtained by all classifiers (apart from the regularized discriminant function analysis) using a one-vs-one and a one-vs-all multi-class approach on grey matter VBM images.
Algorithm | One-versus-one | One-versus-all | |||||
---|---|---|---|---|---|---|---|
Mean accuracy | 5%limit | 95%limit | Mean accuracy | 5%limit | 95%limit | ||
Overall | aridge | 0.522 | 0.479 | 0.562 | 0.514 | 0.475 | 0.551 |
blasso | 0.509 | 0.462 | 0.554 | 0.527 | 0.483 | 0.566 | |
celastic | 0.517 | 0.478 | 0.557 | 0.527 | 0.493 | 0.559 | |
dL0 norm | 0.527 | 0.464 | 0.588 | 0.566 | 0.525 | 0.602 | |
eSVC | 0.509 | 0.481 | 0.537 | 0.491 | 0.443 | 0.538 | |
fGPC | 0.501 | 0.452 | 0.547 | 0.515 | 0.463 | 0.563 | |
gRF | 0.496 | 0.452 | 0.538 | 0.483 | 0.436 | 0.525 | |
Controls | ridge | 0.592 | 0.512 | 0.657 | 0.632 | 0.562 | 0.694 |
lasso | 0.613 | 0.514 | 0.698 | 0.584 | 0.507 | 0.656 | |
elastic | 0.571 | 0.494 | 0.647 | 0.639 | 0.558 | 0.707 | |
L0 norm | 0.607 | 0.535 | 0.688 | 0.632 | 0.56 | 0.709 | |
SVC | 0.531 | 0.463 | 0.608 | 0.66 | 0.537 | 0.772 | |
GPC | 0.633 | 0.543 | 0.72 | 0.656 | 0.564 | 0.741 | |
RF | 0.621 | 0.548 | 0.688 | 0.68 | 0.591 | 0.764 | |
Schizophrenia | ridge | 0.635 | 0.544 | 0.738 | 0.631 | 0.544 | 0.74 |
lasso | 0.481 | 0.409 | 0.556 | 0.588 | 0.524 | 0.654 | |
elastic | 0.614 | 0.542 | 0.694 | 0.621 | 0.545 | 0.704 | |
L0 norm | 0.547 | 0.451 | 0.648 | 0.636 | 0.555 | 0.715 | |
SVC | 0.551 | 0.48 | 0.617 | 0.629 | 0.531 | 0.723 | |
GPC | 0.607 | 0.55 | 0.668 | 0.66 | 0.589 | 0.735 | |
RF | 0.602 | 0.539 | 0.666 | 0.631 | 0.564 | 0.696 | |
Bipolar dis. | ridge | 0.372 | 0.285 | 0.448 | 0.282 | 0.185 | 0.363 |
lasso | 0.415 | 0.301 | 0.516 | 0.423 | 0.316 | 0.516 | |
elastic | 0.391 | 0.315 | 0.475 | 0.319 | 0.254 | 0.387 | |
L0 norm | 0.414 | 0.336 | 0.492 | 0.428 | 0.372 | 0.492 | |
SVC | 0.426 | 0.369 | 0.487 | 0.204 | 0.128 | 0.286 | |
GPC | 0.287 | 0.236 | 0.344 | 0.255 | 0.209 | 0.303 | |
RF | 0.291 | 0.218 | 0.367 | 0.164 | 0.103 | 0.221 |
aridge: Ridge regression,
blasso: Lasso regression,
celastic: Elastic net regularization,
dL0-norm: L0-norm regularization,
eSVC: Support vector classifier,
fGPC: Gaussian process classifier,
gRF: Random forest.