The cross-validation (CV) criterion is known to be asecond-order unbiased estimator of the risk function measuring the discrepancy between the candidate model and the true model, as well as the ...

Choosing the right cross-validation technique is crucial for building reliable machine learning models. In this video, we explore popular methods like k-fold, stratified k-fold, leave-one-out, and ...

Background Machine learning based on clinical characteristics has the potential to predict coronary CT angiography (CCTA) findings and help guide resource utilisation.Methods From the SCOT-HEART ...