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</html><description>Description: Weighted Logistic Regression is a supervised learning model used for binary classification, particularly in situations where there is a significant imbalance between classes. This model extends traditional logistic regression by incorporating weights on observations, allowing the algorithm to pay more attention to underrepresented classes. This is crucial in contexts where one class may be [&hellip;]</description></oembed>
