important implications for disaster management and resource allocation. In this study, we apply recently developed resampling …

fraudulent activities in the blockchain network. For this purpose, we seek to compare various resampling methods applied to two … apply various resampling techniques to these datasets using the best performing learning algorithm on each of these datasets … studies. The matchless contribution lies in discussing the effect of the data resampling on feature importance which is …

value without cutting off the global solution. Aside from this, we prove that resampling can decrease the variance of the … lower bounds calculated based on random initial datasets. In our case study, resampling hardly affects the performance of …