Table 1 Overall performance of leave-out-25% train-test process for each classifier on the GSE90496
RF | kNN | NN | ||||
|---|---|---|---|---|---|---|
Class | Family | Class | Family | Class | Family | |
Accuracy | 0.98 | 0.99 | 0.95 | 0.96 | 0.99 | 0.99 |
Accuracy null | 0.05 | 0.11 | 0.06 | 0.11 | 0.06 | 0.12 |
Kappa | 0.96 | 0.99 | 0.90 | 0.95 | 0.98 | 0.99 |
F1-score | 0.97 | 0.98 | 0.88 | 0.90 | 0.98 | 0.99 |
Recall | 0.97 | 0.98 | 0.86 | 0.88 | 0.98 | 0.99 |
Precision | 0.96 | 0.985 | 0.90 | 0.92 | 0.98 | 0.995 |
Specificity | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 | 0.99 |
