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</html><description>Description: Bias adjustment is a critical process in the field of machine learning and data preprocessing, aimed at correcting inherent distortions in predictive models. This bias can arise from various sources, such as data selection, feature representation, or even the model&#x2019;s own decisions. The goal of bias adjustment is to ensure that the model is [&hellip;]</description></oembed>
