From: SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition
Method (and optimization target) | Error | Balanced Error | Top 5 Error | Balanced Top 5 Error | Detection Rate at fdr = 1% | Detection Rate at fdr = 5% |
---|---|---|---|---|---|---|
PSI-BLAST | 0.4094 | 0.4428 | 0.2966 | 0.3666 | 0.3123 | 0.3412 |
one-vs-all: Folds | 0.3307 | 0.4565 | 0.1260 | 0.1954 | 0.2073 | 0.2493 |
one-vs-all: Folds, Sfams | 0.3307 | 0.4565 | 0.1260 | 0.1954 | 0.2073 | 0.2336 |
Sigmoid Fitting: Folds | 0.3465 | 0.4973 | 0.1706 | 0.3407 | 0.2178 | 0.2283 |
Adaptive Codes: Folds (zero-one) | 0.3018 | 0.3769 | 0.1286 | 0.1862 | 0.2073 | 0.2362 |
Adaptive Codes: Folds (balanced) | 0.3281 | 0.3766 | 0.1680 | 0.1702 | 0.2073 | 0.2362 |
Adaptive Codes: Folds, Sfams (zero-one) | 0.2808 | 0.3749 | 0.1155 | 0.1770 | 0.2283 | 0.2493 |
Adaptive Codes: Folds, Sfams (balanced) | 0.2887 | 0.3659 | 0.1260 | 0.1427 | 0.2231 | 0.2388 |
Adaptive Codes: Folds, Sfams, Fams (zero-one) | 0.2493 | 0.3474 | 0.1024 | 0.1726 | 0.2231 | 0.2677 |
Adaptive Codes: Folds, Sfams, Fams (balanced) | 0.2703 | 0.3445 | 0.1155 | 0.1418 | 0.2283 | 0.2703 |