A decision tree includes all of the followingexcept: (a) Probability estimates for each outcome (b) Measure of worth as the selection criterion (c) Expected results from a decision at eachstage (d) The MARR

ENGR 121 B Lab Notes for 9/28/2016 Spencer Kociba ● vec=a:b:c ○ a=min/starting number ○ b=increment ○ c=max number ● logspace(X1, X2, N) ○ X1=starting point is 10^X1 ○ X2= ending point is 10^X2 ○ N= number of elements created ● x=([a:b], c) ○ a=start ○ b=end ○ c=the last element of the vector ○ Ex. mat=([5:1:3]; 1:3; 44, 9, 2) ■ >>> ● numel(matrix name) ○ Counts number of elements in the specified matrix/vector ● x=mat(3:)