Author Archives: James Grover

Using the K-Fold Cross-Validation Statistics to Understand the Predictive Power of your Data in SVS

         December 12, 2019
SVS 8

Using the K-Fold Cross-Validation Statistics to Understand the Predictive Power of your Data in SVS In cross-validation, a set of data is divided into two parts, the “training set” and the “validation set”. A model for predicting a phenotype from genotypic data and (usually) some fixed effect parameters is “trained” using the training set—that is, the best value(s) of the… Read more »