Data Science, Machine Learning, Statistics, Open Source, Crossvalidation.
parallel. Caveats In our example, we only evaluated two models with two configurations. However, since we’re nesting two cross-validation processes, the number of training procedures snowballs. If we add a few more models and hyperparameters, we’ll soon be required to run hundreds of training