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Chapter and Conference Paper
An Improved Cross-Validated Adversarial Validation Method
As a widely-used strategy among Kaggle competitors, adversarial validation provides a novel selection framework of a reasonable training and validation sets. An adversarial validation heavily depends on an acc...
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Article
Tuning Parameter Selection Based on Blocked \(3\times 2\) Cross-Validation for High-Dimensional Linear Regression Model
In high-dimensional linear regression, selecting an appropriate tuning parameter is essential for the penalized linear models. From the perspective of the expected prediction error of the model, cross-validati...
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Article
Choosing Between Two Classification Learning Algorithms Based on Calibrated Balanced \(5\times 2\) Cross-Validated F-Test
\(5\times 2\) 5 ...