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meansurrvarassoc

Class: classregtree

Mean predictive measure of association for surrogate splits in decision tree

classregtree will be removed in a future release. See fitctree, fitrtree, ClassificationTree, or RegressionTree instead.

Syntax

MA = meansurrvarassoc(T)
MA = meansurrvarassoc(T,N)

Description

MA = meansurrvarassoc(T) returns a p-by-p matrix, MA, with predictive measures of association for p predictors. Element MA(i,j) is the predictive measure of association averaged over surrogate splits on predictor j for which predictor i is the optimal split predictor. This average is computed by summing positive values of the predictive measure of association over optimal splits on predictor i and surrogate splits on predictor j and dividing by the total number of optimal splits on predictor i, including splits for which the predictive measure of association between predictors i and j is negative.

MA = meansurrvarassoc(T,N) takes an array N of node numbers and returns the predictive measure of association averaged over the specified nodes.

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