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sizes = nodesize(t)
sizes = nodesize(t,nodes)
sizes = nodesize(t) returns an n-element vector sizes of the sizes of the nodes in the tree t, where n is the number of nodes. The size of a node is defined as the number of observations from the data used to create the tree that satisfy the conditions for the node.
sizes = nodesize(t,nodes) takes a vector nodes of node numbers and returns the sizes for the specified nodes.
Create a classification tree for Fisher's iris data:
load fisheriris;
t = classregtree(meas,species,...
'names',{'SL' 'SW' 'PL' 'PW'})
t =
Decision tree for classification
1 if PL<2.45 then node 2 else node 3
2 class = setosa
3 if PW<1.75 then node 4 else node 5
4 if PL<4.95 then node 6 else node 7
5 class = virginica
6 if PW<1.65 then node 8 else node 9
7 class = virginica
8 class = versicolor
9 class = virginica
view(t)

sizes = nodesize(t)
sizes =
150
50
100
54
46
48
6
47
1[1] Breiman, L., et al., Classification and Regression Trees, Chapman & Hall, Boca Raton, 1993.
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