Table 6. mycoSORT Results - Set of Features F1+F4.
Under-sampling(USF) | Classifier | Precision | Recall | F-measure | MCC | F-2 |
Training set with USF 0% | Naive Bayes | 0.285 | 0.380 | 0.326 | 0.242 | 0.360 |
Training set with USF 0% | LMT | 0.516 | 0.107 | 0.177 | 0.202 | 0.130 |
Training set with USF 0% | LibSVM | 1.000 | 0.020 | 0.039 | 0.134 | 0.020 |
Training set with USF 5% | Naive Bayes | 0.273 | 0.373 | 0.315 | 0.230 | 0.350 |
Training set with USF 5% | LMT | 0.426 | 0.173 | 0.246 | 0.224 | 0.200 |
Training set with USF 5% | LibSVM | 0.833 | 0.033 | 0.064 | 0.155 | 0.040 |
Training set with USF 10% | Naive Bayes | 0.268 | 0.427 | 0.329 | 0.243 | 0.380 |
Training set with USF 10% | LMT | 0.412 | 0.233 | 0.298 | 0.255 | 0.260 |
Training set with USF 10% | LibSVM | 0.688 | 0.073 | 0.133 | 0.203 | 0.090 |
Training set with USF 15% | Naive Bayes | 0.268 | 0.427 | 0.329 | 0.243 | 0.380 |
Training set with USF 15% | LMT | 0.398 | 0.300 | 0.342 | 0.284 | 0.320 |
Training set with USF 15% | LibSVM | 0.604 | 0.193 | 0.293 | 0.306 | 0.220 |
Training set with USF 20% | Naive Bayes | 0.275 | 0.440 | 0.338 | 0.255 | 0.390 |
Training set with USF 20% | LMT | 0.322 | 0.393 | 0.354 | 0.276 | 0.380 |
Training set with USF 20% | LibSVM | 0.471 | 0.327 | 0.386 | 0.338 | 0.350 |
Training set with USF 25% | Naive Bayes | 0.258 | 0.507 | 0.342 | 0.260 | 0.420 |
Training set with USF 25% | LMT | 0.321 | 0.520 | 0.397 | 0.324 | 0.460 |
Training set with USF 25% | LibSVM | 0.364 | 0.420 | 0.390 | 0.318 | 0.410 |
Training set with USF 30% | Naive Bayes | 0.237 | 0.540 | 0.329 | 0.248 | 0.430 |
Training set with USF 30% | LMT | 0.328 | 0.500 | 0.396 | 0.322 | 0.450 |
Training set with USF 30% | LibSVM | 0.323 | 0.473 | 0.384 | 0.308 | 0.430 |
Training set with USF 35% | Naive Bayes | 0.227 | 0.513 | 0.315 | 0.229 | 0.410 |
Training set with USF 35% | LMT | 0.267 | 0.587 | 0.367 | 0.295 | 0.470 |
Training set with USF 35% | LibSVM | 0.251 | 0.573 | 0.349 | 0.274 | 0.460 |
Training set with USF 40% | Naive Bayes | 0.244 | 0.520 | 0.332 | 0.250 | 0.420 |
Training set with USF 40% | LMT | 0.267 | 0.707 | 0.388 | 0.334 | 0.530 |
Training set with USF 40% | LibSVM | 0.217 | 0.613 | 0.321 | 0.245 | 0.450 |
Results of Positive Class on Feature Setting #2, Using Bio-entities and EC Numbers as Features.