Features | Method | TP | FN | FP | NP | Precision | Recall | F1 measure | MCC |
---|---|---|---|---|---|---|---|---|---|
k-mer | NN | 1312 | 4183 | 3481 | 920 | 0.216 | 0.178 | 0.195 | 0.246 |
 | SVM | 206 | 5289 | 41 | 149 | 0.823 | 0.074 | 0.136 | 0.176 |
 | RF | 201 | 5294 | 0 | 71 | 1.000 | 0.052 | 0.099 | 0.190 |
 | KNN | 792 | 4703 | 457 | 332 | 0.624 | 0.132 | 0.217 | 0.300 |
BP | NN | 2773 | 2722 | 2256 | 984 | 0.646 | 0.513 | 0.572 | 0.521 |
 | SVM | 2283 | 3212 | 711 | 888 | 0.796 | 0.449 | 0.574 | 0.560 |
 | RF | 1709 | 3786 | 170 | 623 | 0.906 | 0.375 | 0.531 | 0.529 |
 | KNN | 1391 | 4104 | 424 | 787 | 0.755 | 0.374 | 0.500 | 0.438 |
BP+k-mer | NN | 2760 | 2735 | 1830 | 973 | 0.648 | 0.500 | 0.565 | 0.544 |
 | SVM | 2301 | 3194 | 709 | 883 | 0.804 | 0.448 | 0.575 | 0.563 |
 | RF | 1198 | 4297 | 42 | 371 | 0.970 | 0.227 | 0.368 | 0.456 |
 | KNN | 1430 | 4065 | 394 | 773 | 0.764 | 0.375 | 0.503 | 0.449 |
CC | NN | 1945 | 3550 | 3616 | 926 | 0.422 | 0.355 | 0.386 | 0.343 |
 | SVM | 1117 | 4378 | 283 | 534 | 0.768 | 0.255 | 0.383 | 0.400 |
 | RF | 1009 | 4486 | 267 | 445 | 0.736 | 0.215 | 0.333 | 0.379 |
 | KNN | 966 | 4529 | 436 | 525 | 0.627 | 0.204 | 0.308 | 0.346 |
CC+k-mer | NN | 2178 | 3317 | 2523 | 827 | 0.493 | 0.348 | 0.408 | 0.421 |
 | SVM | 1213 | 4282 | 302 | 551 | 0.784 | 0.270 | 0.401 | 0.418 |
 | RF | 659 | 4836 | 25 | 212 | 0.977 | 0.132 | 0.232 | 0.338 |
 | KNN | 1026 | 4469 | 450 | 535 | 0.675 | 0.224 | 0.336 | 0.358 |
MF | NN | 2429 | 3066 | 2950 | 844 | 0.545 | 0.400 | 0.462 | 0.439 |
 | SVM | 1703 | 3792 | 423 | 646 | 0.785 | 0.306 | 0.441 | 0.496 |
 | RF | 1580 | 3915 | 454 | 604 | 0.786 | 0.316 | 0.451 | 0.470 |
 | KNN | 1313 | 4182 | 576 | 635 | 0.642 | 0.262 | 0.372 | 0.405 |
MF+k-mer | NN | 2520 | 2975 | 2900 | 868 | 0.580 | 0.399 | 0.472 | 0.454 |
 | SVM | 1771 | 3724 | 449 | 665 | 0.783 | 0.326 | 0.460 | 0.504 |
 | RF | 985 | 4510 | 18 | 275 | 0.968 | 0.157 | 0.270 | 0.417 |
 | KNN | 1427 | 4068 | 533 | 612 | 0.697 | 0.272 | 0.391 | 0.432 |