cross-validation
PulseAugur coverage of cross-validation — every cluster mentioning cross-validation across labs, papers, and developer communities, ranked by signal.
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New framework enhances model selection with domain knowledge
A new paper introduces a theoretical framework for model selection using cross-validation, particularly when domain knowledge is incorporated. The research establishes deviation bounds based on VC dimension for the enti…
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New paper questions cross-validation stability for model comparison
A new paper published on arXiv demonstrates that cross-validation, a common statistical technique for comparing machine learning models, can produce unstable and invalid inferences. The research specifically highlights …
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New TWCV method improves spatial prediction model accuracy
Researchers have developed a new framework called Target-Weighted Cross-Validation (TWCV) to improve the accuracy of performance estimates for spatial prediction models. This method addresses the common issue where vali…