Table 4.
Overall performance of the final mt-QSTR-random forest (RF) model.
Classification a | Sub-Training Set (10-Fold CV) | Test Set |
---|---|---|
NDTotal b | 3585 | 896 |
NDactive b | 1306 | 316 |
CCDactive c | 1239 | 304 |
Sensitivity(%) | 94.87 | 96.20 |
NDinactive b | 2279 | 580 |
CCDinactive c | 2209 | 559 |
Specificity (%) | 96.93 | 96.38 |
F-measure | 0.962 | 0.948 |
Accuracy (%) | 96.18 | 96.32 |
MCC | 0.918 | 0.920 |
a Classification parameters, b ND: Number of datapoints, c Correctly classified datapoints.