H2O Cross-Validation

This workflow shows how to use cross-validation in H2O using the KNIME H2O Nodes. In the example we use the H2O Random Forest to predict the multiclass response of the IRIS data set using 5-folds and evaluate the cross-validated performance.

This is a companion discussion topic for the original entry at https://kni.me/w/zzTdxkw7hfziD4Ik