Table 2. Classification performance for different families of methods.
| Method | LOOCV (61 + 1) | Training set test (43) | Test set test (19) | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Spec | Sens | Sum | Spec | Sens | Sum | Spec | Sens | Sum | |
| DT | 88 | 90 | 178 | 87 | 95 | 182 | 90 | 89 | 179 |
| GM | 82 | 76 | 158 | 91 | 75 | 166 | 90 | 78 | 168 |
| 3NN | 88 | 90 | 181 | 87 | 90 | 177 | 90 | 78 | 168 |
| LDA | 88 | 83 | 171 | 91 | 85 | 176 | 90 | 89 | 179 |
| LR | 79 | 86 | 165 | 91 | 75 | 166 | 90 | 78 | 168 |
| PDFE | 79 | 86 | 165 | 96 | 80 | 176 | 90 | 78 | 168 |
Inputs with growing cells (task 2).Spec stands for Specificity (%), Sens stands for Sensitivity (%).