• rpart

  • Referenced in 129 articles [sw07115]
  • regression trees. Recursive partitioning for classification, regression and survival trees. An implementation of most...
  • randomForest

  • Referenced in 156 articles [sw10639]
  • classification and regression. Classification and regression based on a forest of trees using random inputs...
  • tree

  • Referenced in 18 articles [sw11163]
  • package tree: Classification and Regression Trees: Classification and regression trees. Runs a K-fold cross...
  • partykit

  • Referenced in 21 articles [sw10634]
  • representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure...
  • evtree

  • Referenced in 10 articles [sw14304]
  • Globally Optimal Trees. Commonly used classification and regression tree methods like the CART algorithm ... efficient heuristic, the results of recursive tree methods are only locally optimal, as splits ... search over the parameter space of trees is to use global optimization methods like evolutionary ... algorithm for learning globally optimal classification and regression trees in R. CPU and memory-intensive...
  • ranger

  • Referenced in 24 articles [sw14498]
  • high dimensional data. Ensembles of classification, regression and survival trees are supported. We describe...
  • PLANET

  • Referenced in 5 articles [sw15434]
  • tree ensembles with mapreduce. Classification and regression tree learning on massive datasets is a common ... Google, yet many state of the art tree learning algorithms require training data to reside ... framework for learning tree models over large datasets. PLANET defines tree learning as a series ... framework supports scalable construction of classification and regression trees, as well as ensembles of such...
  • BayesTree

  • Referenced in 58 articles [sw07995]
  • Bayesian “sum-of-trees” model where each tree is constrained by a regularization prior ... posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis ... point and interval estimates of the unknown regression function as well as the marginal effects ... simulation experiment and on a drug discovery classification problem...
  • MedTree

  • Referenced in 3 articles [sw12469]
  • Olshen, and C. J. Stone [Classification and regression trees (1984; Zbl 0541.62042)] expounded a method ... called classification and regression trees, or CART, which is of use for nonparametric discrimination ... regression. In this paper, we present an algorithm which ... able to increase the quality of classification trees beyond the quality of trees, which...
  • DTREG

  • Referenced in 4 articles [sw23356]
  • tree, Support Vector Machine, K-Means clustering, Linear Discriminant Function, Linear Regression or Logistic Regression ... minutes. Classification and Regression Trees. DTREG can build Classification Trees where the target variable being...
  • CORElearn

  • Referenced in 5 articles [sw10624]
  • classification and regression, for example classification and regression trees with optional constructive induction and models...
  • dynaTree

  • Referenced in 4 articles [sw07923]
  • sequential Monte Carlo for dynamic tree regression and classification models with hooks provided for sequential ... inputs. Illustrative examples from the original dynamic trees paper are facilitated by demos...
  • ofw

  • Referenced in 4 articles [sw10549]
  • supervised multiclass classifiers such as classification and regression trees and support vector machines. Furthermore...
  • CARTopt

  • Referenced in 4 articles [sw08364]
  • partition on ℝ n using classification and regression trees (CART) from statistical pattern recognition...
  • synthpop

  • Referenced in 4 articles [sw17416]
  • original data using parametric or classification and regression trees models. Data are synthesised...
  • horserule

  • Referenced in 4 articles [sw27913]
  • package horserule: Tree ensembles with rule structured horseshoe regularization. We propose ... Bayesian model for flexible nonlinear regression and classification using tree ensembles. The model is based ... from decision trees and linear terms are used in a L1-regularized regression. We modify ... RuleFit with an additional set of trees from Random Forest, which brings a desirable diversity...
  • FNN

  • Referenced in 10 articles [sw14860]
  • tree fast k-nearest neighbor search algorithms and related applications including KNN classification, regression...
  • maptree

  • Referenced in 2 articles [sw12946]
  • package maptree: Mapping, pruning, and graphing tree models. Functions with example data for graphing, pruning ... models from hierarchical clustering, and classification and regression trees...
  • OTE

  • Referenced in 1 article [sw33152]
  • package OTE: Optimal Trees Ensembles for Regression, Classification and Class Membership Probability Estimation. Functions ... creating ensembles of optimal trees for regression, classification (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin ... /978-3-319-25226-1_34>) are given. A few trees are selected from an initial set of trees grown...
  • partDSA

  • Referenced in 2 articles [sw07441]
  • groups. Two such methods are Classification and Regression Trees (CART) and a more recent competitor...