Table 1 Quantitative results on the simulation data
Base classifier | Variable number | Confusion matrix | Positive class | Precision | Recall | F1-measure | ||
|---|---|---|---|---|---|---|---|---|
LDA | [0,1]T | classified as | a | b | a | 0.992 | 0.984 | 0.988 |
| Â | Â | label a | 123 | 2 | b | 0.984 | 0.992 | 0.988 |
| Â | Â | label b | 1 | 124 | weighted average | 0.988 | 0.988 | 0.988 |
kNN | [0,1]T | classified as | a | b | a | 0.906 | 0.928 | 0.917 |
| Â | Â | label a | 116 | 9 | b | 0.926 | 0.904 | 0.915 |
| Â | Â | label b | 12 | 113 | weighted average | 0.916 | 0.916 | 0.916 |
RF | 34 | classified as | a | b | a | 0.528 | 0.448 | 0.485 |
| Â | Â | label a | 56 | 69 | b | 0.521 | 0.600 | 0.558 |
| Â | Â | label b | 50 | 75 | weighted average | 0.524 | 0.524 | 0.522 |
| Â | [0,1]T | classified as | a | b | a | 0.897 | 0.904 | 0.900 |
| Â | Â | label a | 113 | 12 | b | 0.903 | 0.896 | 0.899 |
| Â | Â | label b | 13 | 112 | weighted average | 0.900 | 0.900 | 0.899 |
SVM | 0 | classified as | a | b | a | 0.467 | 0.400 | 0.431 |
| Â | Â | label a | 50 | 75 | b | 0.476 | 0.544 | 0.508 |
| Â | Â | label b | 57 | 68 | weighted average | 0.472 | 0.472 | 0.470 |
| Â | [0,1]T | classified as | a | b | a | 0.909 | 0.960 | 0.934 |
| Â | Â | label a | 120 | 5 | b | 0.958 | 0.904 | 0.930 |
| Â | Â | label b | 12 | 113 | weighted average | 0.933 | 0.932 | 0.932 |