Multi-target model trees are trees which predict the values of several target continuous variables simultaneously. Each leaf of such a tree contains several linear models, each predicting the value of a different target variable. We propose an algorithm for inducing such trees in a stepwise fashion. Experiments show that multi-taxget model trees are much smaller than the corresponding sets of single-target model trees and are induced much faster, while achieving comparable accuracies.
Stepwise Induction of Multi-target Model Trees
APPICE, ANNALISA;
2007-01-01
Abstract
Multi-target model trees are trees which predict the values of several target continuous variables simultaneously. Each leaf of such a tree contains several linear models, each predicting the value of a different target variable. We propose an algorithm for inducing such trees in a stepwise fashion. Experiments show that multi-taxget model trees are much smaller than the corresponding sets of single-target model trees and are induced much faster, while achieving comparable accuracies.File in questo prodotto:
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