Stands for 'Classification And Regression Trees'. CART is a technique for developing a tree model (T) to predict categories (C) and/or continuous values (R) by recursive partitioning. It does not make restrictive parametric assumptions. CART is a popular data mining technique.
Is there a a good python library for training boosted decision trees ?
A colleague in my office said to me today "Tree models aren't good because they get caught by extreme observations". A search here resulted in this thread that basically supports the claim. Which ...
Decision trees seems to be a very understandable machine learning method. Once created it can be easily inspected by a human which is a great advantage in some applications. What are the practical ...
I am not an expert of random forest but I clearly understand that the key issue with random forest is the (random) tree generation. Can you explain me how the trees are generated? (i.e. What is the ...
What topics in statistics are most useful/relevant to data mining?