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High accuracy value is one of the parameters of the success of classification in predicting classes. The higher the value, the more correct the class prediction. Many classification algorithms have been used, such as Naïve Bayes, C.45, KNN, and many more. The algorithm continues to be developed by researchers to produce the best accuracy value, as has been observed by [1] upgrading the Evolutionary Algorithm (EA) in previous studies by automatically selecting the best classifier compared to random forest. Also, in the case of the multiclass dataset and multi-level classification, it has been used for medical purposes, namely the prediction of multiple skin lesions[2].

Random and Synthetic Over-Sampling Approach to Resolve Data Imbalance in Classification