Stability aspects of recursive partitioning procedures are investigated. Using resampling techniques, diagnostic tools to assess single split stability and overall tree stability are introduced. To correct for the procedure's preference for covariates with many unique realizations, corrected p-values are used in the factor selection component of the algorithm. Finally, methods to stabilize tree-based predictors are discussed.
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Felix Dannegger (2000) studied this question.
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