Proposals
e-fold cross-validation: A computing and energy-efficient alternative to k-fold cross-validation with adaptive folds [Proposal]
This proposal is also available as pre-print (PDF) on OSF.io. If you want to cite this proposal, please cite: Introduction K-fold cross-validation is widely regarded as a robust method for model evaluation in machine learning and related fields, including recommender systems. Unlike a simple hold-out split, k-fold cross-validation ensures that Read more…