Table 2 Results of each algorithm model after NRS dimensionality reduction
TP | FN | FP | TN | Accuracy | Sensitivity | Specificity | |
|---|---|---|---|---|---|---|---|
NRS + DT | 21 | 6 | 11 | 20 | 70.69% | 77.78% | 64.52% |
NRS + Bayes | 17 | 11 | 7 | 23 | 68.97% | 60.71% | 76.67% |
NRS + BPnet | 21 | 5 | 11 | 21 | 72.41% | 80.77% | 65.63% |
NRS + K-NN | 18 | 10 | 6 | 24 | 72.41% | 64.29% | 80.00% |
NRS + SVM | 23 | 5 | 6 | 24 | 70.69% | 82.14% | 80.00% |
NRS + RF | 19 | 7 | 5 | 27 | 79.31% | 73.08% | 84.38% |
NRS + GBDT | 23 | 5 | 7 | 23 | 79.31% | 82.14% | 76.67% |