Table 4. Tree optimization for best model (T-CFS).
T-CFS | Accuracy (%) | Sensitivity (%) | Specificity (%) | MCC | F1 |
---|---|---|---|---|---|
5 | 76.4 | 46.9 | 93.0 | 0.467 | 0.588 |
10 | 79.8 | 59.4 | 91.2 | 0.547 | 0.679 |
25 | 71.9 | 46.9 | 86.0 | 0.360 | 0.545 |
50 | 75.3 | 53.1 | 87.7 | 0.442 | 0.607 |
75 | 77.5 | 53.1 | 91.2 | 0.493 | 0.630 |
100 | 78.7 | 53.1 | 93.0 | 0.521 | 0.642 |
150 | 79.8 | 59.4 | 91.2 | 0.547 | 0.679 |
200 | 79.8 | 50.0 | 96.5 | 0.555 | 0.640 |
250 | 80.9 | 59.4 | 93.0 | 0.574 | 0.691 |
300 | 79.8 | 56.3 | 93.0 | 0.548 | 0.667 |
400 | 82.0 | 56.3 | 96.5 | 0.606 | 0.692 |
500 | 82.0 | 56.3 | 96.5 | 0.606 | 0.692 |
1000 | 80.9 | 56.3 | 94.7 | 0.576 | 0.679 |
T = Turn, MCC = Matthews Correlation Coefficient, F1 = F1 score.