Authors | Year | Algorithm-based | Accuracy |
---|
Yu et al. [41] | 2010 | SVM | 73% |
Panwar et al. [11] | 2016 | KNN | 78% |
Ramezankhani et al. [39] | 2016 | DT | 74% |
Mingqi et al. [40] | 2020 | ADAboost | 79.2% |
Pradhan et al. [42] | 2020 | ANN | 80.4% |
Tigga et al. [38] | 2021 | LR | 75.32% |
Ihnaini et al. [24] | 2021 | DL | 72.7% |
Our proposition | 2022 | RF | 85.9% |