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Resampling (statistics)
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Model Selection: Evaluation and Generalization
Explores model selection, evaluation, and generalization in machine learning, emphasizing unbiased performance estimation and the risks of over-learning.
Linear Binary Classification
Covers the extension of the 0-1 loss to real-valued score functions and logistic regression.