Table 7. Simplified Classification Models using Rule of Five Descriptorsa.
confusion
matrix |
||||||||
---|---|---|---|---|---|---|---|---|
models | TP | TN | FP | FN | sensitivity | specificity | MCC | accuracy |
RF | 127 | 117 | 97 | 5 | 0.96 | 0.55 | 0.52 | 0.71 |
SVM | 131 | 90 | 124 | 1 | 0.99 | 0.42 | 0.46 | 0.64 |
KNN | 117 | 102 | 112 | 15 | 0.89 | 0.48 | 0.37 | 0.63 |
DT | 126 | 132 | 82 | 6 | 0.95 | 0.62 | 0.57 | 0.75 |
Statistics describe the classification performance on the external test set. Note: RF, random forest; SVM, support vector machine; kNN, kappa nearest neighbor; DT, decision tree; MCC, Matthews’s correlation coefficient.