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Power-Weighted kNN for Imbalanced Data by solanotorres039 is a document available to read on EtoBox.
What is Power-Weighted kNN for Imbalanced Data about?
The document presents a novel power-weighted k-nearest neighbors (kNN) classifier designed to address the class imbalanced problem in classification tasks. It introduces a power-weight assignment method that enhances the classification of minority class instances by considering the class of neighbors and the imbalance ratio. Experimental results demonstrate that this approach significantly improves recall and precision compared to traditional kNN models and other methods, particularly in imbalanced datasets
- Author
- solanotorres039
- Language
- EN