| Products & Services | Solutions | Academia | Support | User Community | Company |
| Download Product Updates | | | Get Pricing | | | Trial Software |
| Documentation → Statistics Toolbox |
| Contents | Index |
| Learn more about Statistics Toolbox |
Child nodes
C = children(t)
C = children(t,nodes)
C = children(t) returns an n-by-2 array C containing the numbers of the child nodes for each node in the tree t, where n is the number of nodes. Leaf nodes have child node 0.
C = children(t,nodes) takes a vector nodes of node numbers and returns the children 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)

C = children(t)
C =
2 3
0 0
4 5
6 7
0 0
8 9
0 0
0 0
0 0[1] Breiman, L., J. Friedman, R. Olshen, and C. Stone. Classification and Regression Trees. Boca Raton, FL: CRC Press, 1984.
classregtree, numnodes, parent
![]() | chi2stat | cholcov | ![]() |

Includes the most popular MATLAB recorded presentations with Q&A sessions led by MATLAB experts.
| © 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS |