Researchers have proposed a new algorithm for PU classification that addresses scenarios where the standard SCAR condition is not met. The method utilizes a two-step process: first, it employs a 2-means clustering algorithm to generate initial cleaning labels, and then it performs logistic regression on this cleaned data. This approach was evaluated on eleven real-world datasets and one synthetic dataset, demonstrating its effectiveness in situations where the SCAR condition is violated. AI
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RANK_REASON The item is an arXiv preprint detailing a new statistical methodology for classification tasks.
