Supervised Deep Learning in High Energy Phenomenology: a Mini Review *

Murat Abdughani,Jie Ren,Lei Wu,Jin-Min Yang,Jun Zhao

Fig. 1 (Color online) A decision tree that estimates the probability of a patient developing a hunchback after surgery based on the patient's age and the location of the spine where the surgery was performed. The figure shows two different representations of the decision tree. The colored leaf nodes in the left figure give the probability of postoperative hump and the proportion of samples reaching each leaf node. The right figure shows the age of the patient and the position of the spine on which the surgery was performed, where different regions correspond to different leaf nodes. The locations of the sample points are also shown as points. This picture is taken from https://en.wikipedia.org/wiki/Decision-tree-learning.