Co-adaptation: Difference between revisions

Created page with "{{see also|Machine learning terms}} ==Co-adaptation in Machine Learning== Co-adaptation is a phenomenon in machine learning that occurs when a model becomes too reliant on certain features or training examples, leading to a decrease in generalization performance. This article provides an overview of co-adaptation in the context of machine learning, its implications, and methods for mitigating its effects. ===Definition and Causes=== In machine learning, co-adaptation re..."