Table 6 Individual nine-point schema data are subjected through learning algorithms and scoring metrics are derived, averaged and tabulated. Values are compared with the six-point performance metrics
Algorithm | Sensitivity/ Recall (%) | Specificity (%) | Precision (%) | F1 Score (%) | MCC (%) | |||||
|---|---|---|---|---|---|---|---|---|---|---|
Six point | Nine point | Six point | Nine point | Six point | Nine point | Six point | Nine point | Six point | Nine point | |
Decision Tree (j48) | 37 | 38 | 90 | 93 | 17 | 85 | 23 | 41 | 16 | 54 |
SVM (functions_smo_npolyk) | 36 | 37 | 89 | 93 | 16 | 57 | 22 | 41 | 15 | 36 |
Neural networks(functions_mlp) | 36 | 38 | 89 | 92 | 16 | 80 | 22 | 43 | 15 | 53 |
Naïve Bayes (Bayes_Naïve BayesUpdateable) | 37 | 37 | 89 | 93 | 16 | 81 | 22 | 40 | 17 | 53 |