| Author | Methods/classifiers | Highest accuracy (%) |
| [35] | RF, DT, and LR | 92.1 | [26] | A.B., E.T., L.R., MNB, CART, LDA, SVM, RF, and XGB | 90 | [38] | Ensemble methods with CART | 95 | [39] | Naive Bayesian | 95 | [40] | Random forest | 94 | ā | LR, KNN, SVM, and RF | 99 | [23] | DT, LR, XGB, NB, GB, RF, SVM, and PEM | 96.75 | [24] | Extreme gradient boosting | 81 | [31] | SVM | 97 | [35] | Random forest, SVM, naive Bayes, and decision tree | 97 | [36] | Neural networks | 89.3 | This research | SVM | 94.3 |
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