Hello,
I'm using Decision Trees for image segmentation and classification, and I need to understand how the tree is being formed when trained, so I can better understand why it's predicting the way it is. I tried looking at the documentation here, but I still don't understand what is all that information. I tried printing those variables for all the nodes in my tree, and all I see are a bunch of numbers without meaning to me. Can anyone help me understand how exactly those variables are formed after training and how they influence the classification?