Perspectives on Cross-Validation
Microsoft
Perspectives on Cross-Validation
Cross-validation is probably the most widely used method for risk estimation in machine learning and statistics. However, analyzing it and comparing it to the data splitting estimator has proved difficult. In the first part of the talk, I will present a new analysis which characterizes the exact asymptotic of cross-validation in the form of a […]
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