Edited AdaBoost by weighted kNN

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How researchers see this paper

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Black-Box vs. White-Box: Understanding Their Advantages and Weaknesses From a Practical Point of View (2019, background): “intrinsic problems coming from application domains, such as the class imbalance problem [95], [96], and the class confidence problem; where objects are weighted regarding their confidence to all classes of the problem [97].”
A review of ensemble learning and data augmentation models for class imbalanced problems: combination, implementation and evaluation (2023, background): “There are updated versions of Ad-aBoost to counter noisy data [103, 104, 105, 106].”