Z splitting criterion for growing trees and boosting

A splitting criterion that arrives out of the context of a new boosting algorithm is used to construct classification trees. Trees constructed using this Z function are compared to those using the entropy function of C4.5 and are found to give much lower error rates. The Z function is also used to construct boosting machines which, when compared to other implementations, give lower error rates.