Hi All,   I have built a neural network to predict a binary target with several class/interval predictors. To gain an understanding of the predictors on the model, I am running a StatExplore node out of my Neural Network node (see output below).   My question is, what are the H13, H12, H11 variables which have been created? I thought they were referring to the first/second/third nodes which are in the first layer, but this doesn't seem to make sense. They make up a significant percentage of the model, so I am looking to understand their influence. Also, is there another method for explaining a neural net (besides approximating it with a decision tree)?   Target Variable Importance Worth Analysis Variable Label plot target_ind H13 1 1.53E-05 1 Hidden: H1=3 NaN target_ind H12 2 1.16E-05 1 Hidden: H1=2 NaN target_ind var1 3 9.29E-06 1 var1 NaN target_ind H11 4 7.41E-06 1 Hidden: H1=1 NaN   Thanks so much! ... View more