tree

tree: Classification and Regression Trees: Classification and regression trees. Runs a K-fold cross-validation experiment to find the deviance or number of misclassifications as a function of the cost-complexity parameter k

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References in zbMATH (referenced in 6 articles )

Showing results 1 to 6 of 6.
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  1. Biau, Gérard; Fischer, Aurélie; Guedj, Benjamin; Malley, James D.: COBRA: a combined regression strategy (2016)
  2. Dinwoodie, Ian H.: Conditional tests on basins of attraction with finite fields (2014)
  3. Wager, Stefan; Hastie, Trevor; Efron, Bradley: Confidence intervals for random forests: the jackknife and the infinitesimal jackknife (2014)
  4. Chandler, Gabriel; Johnson, Leif T.: Automatic locally adaptive smoothing for tree-based set estimation (2013)
  5. Conversano, Claudio: Interactive visualization in multiclass learning: integrating the SASSC algorithm with KLIMT (2011)
  6. Dinwoodie, Ian H.: Polynomials for classification trees and applications (2010)