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Cross-Validation in Machine Learning Cross-validation is a core concept in machine learning and data science, used to evaluate model performance using reliable cross-validation techniques. Methods like k-fold cross-validation, stratified k-fold cross-validation, leave-one-out cross-validation, and leave-p-out cross-validation represent the main ...
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