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. Author manuscript; available in PMC: 2015 Oct 24.
Published in final edited form as: J Proteome Res. 2009 Mar;8(3):1293–1303. doi: 10.1021/pr800637z

Fig. 2. The optimal classification tree generated by CART.

Fig. 2

(A) The cost value of decision trees with varying number of terminal nodes.

(B) The optimal decision tree is composed of 6 discriminative classifiers. The decision making process involves the evaluation of if-then rules of each node from top to bottom, which eventually reaches a terminal node with designated class outcome: tumor (T), non-tumor (NT) or normal (N).