Regression trees with unbiased variable selection and interaction detection
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Cites methods from "Regression trees with unbiased vari..."
...Also, several techniques exist (Frank et al. 1998; Loh 2002; Chan and Loh 2004; Zeileis et al. 2008) that use more complex models in the terminal nodes, similar to M5 and Cubist....
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3,246 citations
Cites methods from "Regression trees with unbiased vari..."
...Two performance distributions are said to be equivalent when the performance of the conditional inference trees compared to the performance of one competitor (rpart, QUEST or GUIDE) does not differ by an amount of more than 10%....
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...The results of the benchmarking experiments with real data show that the prediction accuracy of conditional inference trees is competitive with the prediction accuracy of both an exhaustive search procedure (rpart) and unbiased recursive partitioning (QUEST/GUIDE) which select the tree size by pruning....
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...Unbiased Recursive Partitioning:...
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...The boxplots of the pairwise ratios of the performance measure evaluated for conditional inference trees and pruned exhaustive search trees (rpart, Figure 6) and pruned unbiased trees (QUEST/GUIDE, Figure 7) are accomplished by estimates of the ratio of the expected performances and corresponding Fieller confidence intervals....
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...…unbiased, and efficient statistical tree for nominal responses; Loh and Shih 1997), version 1.9.1, and GUIDE (generalized, unbiased, interaction detection and estimation for numeric responses; Loh 2002), version 2.1, aim at unbiased variable selection and determine the tree size by pruning as well....
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606 citations
Cites methods from "Regression trees with unbiased vari..."
...The particularly influential algorithms include CART (classification and regression trees, Breiman et al., 1984), C4.5 (Quinlan, 1993), QUEST/GUIDE (Loh and Shih, 1997; Loh, 2002), and CTree (Hothorn et al., 2006) among many others (see Loh, 2014, for a recent overview)....
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References
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