Performance | Classification algorithm | Study |
---|---|---|
90% accuracy | LPboost algorithm | Singh et al. [4] |
90% highest sensitivity | SVM | Ecker et al. [5] |
87% accuracy | LMT | Jiao et al. [6] |
67% highest accuracy | SVM, RF, GBM | Katuwal et al. [7] |
93% accuracy | Multilevel deep network | Ismail et al. [8] |
88% accuracy | RF | Xiao et al. [9] |
93% accuracy | Multilevel deep network | Khalil et al. [10] |
88/46% highest accuracy with ANN | SV, RF, KNN ,ANN | Present study |