Tree stability diagnostics and some remedies against instability

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.