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 | 0.3990 | 0.4571 | 0.2731 | 0.3654 | 0.3229 | 0.4214 |
one-vs-all: Sfams | 0.2706 | 0.4454 | 0.1047 | 0.1973 | 0.4239 | 0.5549 |
one-vs-all: Sfams, Fams | 0.2706 | 0.4454 | 0.1097 | 0.2070 | 0.4239 | 0.5549 |
Sigmoid Fitting: Sfams | 0.3678 | 0.5561 | 0.2020 | 0.3724 | 0.3641 | 0.4726 |
Adaptive Codes: Sfams (zero-one) | 0.2444 | 0.3805 | 0.0960 | 0.1591 | 0.4264 | 0.5711 |
Adaptive Codes: Sfams (balanced) | 0.2481 | 0.3723 | 0.1110 | 0.1634 | 0.4289 | 0.5673 |
Adaptive Codes: Sfams, Fams (zero-one) | 0.2369 | 0.3739 | 0.0948 | 0.1561 | 0.4352 | 0.5698 |
Adaptive Codes: Sfams, Fams (balanced) | 0.2394 | 0.3632 | 0.1047 | 0.1558 | 0.4302 | 0.5698 |
Adaptive Codes: Sfams, Fams, Fams (zero-one) | 0.2219 | 0.3401 | 0.0910 | 0.1359 | 0.4277 | 0.5723 |
Adaptive Codes: Sfams, Fams, Fams (balanced) | 0.2195 | 0.3273 | 0.1047 | 0.1516 | 0.4327 | 0.5910 |