|
| Author (year) | Method (train-to-test ratios) | Average accuracy (%) |
|
| Kalyan Nagaraj, Amulyashree Sridhar (2015) [40] | Logistic Regression (2/3-1/3) | 97.2 |
| Kalyan Nagaraj, Amulyashree Sridhar (2015) [40] | Rotation Forest (2/3-1/3) | 97.4 |
| Kalyan Nagaraj, Amulyashree Sridhar (2015) [40] | Naive Bayes (2/3-1/3) | 98.3 |
| Kalyan Nagaraj, Amulyashree Sridhar (2015) [40] | RBF-based SVM (2/3-1/3) | 99.6 |
| E. K. Kornoushenko (2017) [41] | Nearest Neighborhood (50%-50%) | 97.6 |
| J.Uthayakumar et. al. (2017) [42] | Ant-Miner (10 fold cross validation) | 100 |
| J.Uthayakumar et. al. (2017) [42] | Logistic Regression (10 fold cross validation) | 99.2 |
| J.Uthayakumar et. al. (2017) [42] | MLP (10 fold cross validation) | 99.2 |
| J.Uthayakumar et. al. (2017) [42] | Random Forest (10 fold cross validation) | 100 |
| J.Uthayakumar et. al. (2017) [42] | Radical Basis Function (10 fold cross validation) | 99.2 |
| J.Uthayakumar et. al. (2018) [43] | Genetic Algorithm (Not Mentioned) | 71.48 |
| J.Uthayakumar et. al. (2018) [43] | Ant Colony Algorithm (Not Mentioned) | 83.05 |
| Our Method (2019) | EPNN (50%-50%) | 99.57 |
| Our Method (2019) | EPNN(10 fold cross validation) | 99.68 |
|
