The purpose of this study was to determine how the effect of using Bootstrapping Samples for resampling the Harlev dataset in improving the performance of singlecell pap smear classification by dealing with the data imbalance problem The Harlev dataset used in this study consists of 917 data with 20 attributes The number of classes on the label had data imbalance in the dataset that affected singlecell pap smear classification performance The data imbalance in

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