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.
In this workflow ‘H2O CV loop start’ first port is attached to both RF learner as well as the predictor node. I thought the second port of the start loop is test set and should go to the predictor node. Is this an error or I am not getting it right?