程序代写代做代考 decision tree algorithm Decision Trees
Decision Trees Input Data Attributes X1=x1 XM=xM Class prediction Y=y Classifier Training data 1 Decision Tree Example • Three variables: – Hair = {blond, dark} – Height = {tall,short} – Country = {Gromland, Polvia} Training data: (B,T,P) (B,T,P) (B,S,G) (D,S,G) (D,T,G) (B,S,G) Height = T? P:2 G:0 P:2 G:4 Hair = B? P:2 G:2 Hair […]
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