Table 3.
Classifier Type | |||||
---|---|---|---|---|---|
AE | RF | SVM | NB | ||
Metrics | Sens. | 85.03 | 89.17 | 85.67 | 71.02 |
Spec. | 95.88 | 90.07 | 93.95 | 96.61 | |
Acc. | 91.20 | 89.68 | 90.37 | 85.56 |
Abbreviations: Acc., accuracy; AE, autoencoder; NB, Naive Bayes; RF, random forest; SVM, support vector machine; Sens., sensitivity; Spec., specificity.
Boldface values signify the values which has maximum accuracy.