
rpart
 Referenced in 154 articles
[sw07115]
 Partitioning. Recursive partitioning and regression trees. Recursive partitioning for classification, regression and survival trees...

randomForest
 Referenced in 208 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 Kfold cross...

SPRINT
 Referenced in 39 articles
[sw11760]
 wellstudied problem, most of the current classification algorithms require that all or a portion ... databases. We present a new decisiontreebased classification algorithm, called SPRINT that removes...

SLIQ
 Referenced in 51 articles
[sw11759]
 extensively in the past, most of the classification algorithms are designed only for memoryresident ... classifier. SLIQ is a decision tree classifier that can handle both numeric and categorical attributes ... with a breadthfirst tree growing strategy to enable classification of diskresident datasets. SLIQ...

RainForest
 Referenced in 17 articles
[sw20993]
 Framework for Fast Decision Tree Construction of Large Datasets. Classification of large datasets ... unifying framework called Rain Forest for classification tree construction that separates the scalability aspects ... features that determine the quality of the tree. The generic algorithm is easy to instantiate ... scalable versions of a wide range of classification algorithms, our approach also offers performance improvements...

ranger
 Referenced in 45 articles
[sw14498]
 high dimensional data. Ensembles of classification, regression and survival trees are supported. We describe...

BartPy
 Referenced in 99 articles
[sw40584]
 Bayesian “sumoftrees” model where each tree is constrained by a regularization prior ... simulation experiment and on a drug discovery classification problem...

partykit
 Referenced in 29 articles
[sw10634]
 representing, summarizing, and visualizing treestructured regression and classification models. This unified infrastructure...

evtree
 Referenced in 12 articles
[sw14304]
 Evolutionary Learning of Globally Optimal Trees. Commonly used classification and regression tree methods like ... 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 memoryintensive...

BayesTree
 Referenced in 64 articles
[sw07995]
 Bayesian “sumoftrees” model where each tree is constrained by a regularization prior ... simulation experiment and on a drug discovery classification problem...

rpartOrdinal
 Referenced in 6 articles
[sw11730]
 package rpartOrdinal: Ordinal classification tree functions. This package contains functions that can be called ... conjunction with rpart for deriving a classification tree when the response to be predicted...

rpartScore
 Referenced in 6 articles
[sw14366]
 package rpartScore: Classification trees for ordinal responses. This package contains functions that allow to build ... classification trees for ordinal responses within the CART framework. The trees are grown using...

LightGBM
 Referenced in 24 articles
[sw27912]
 framework based on decision tree algorithms, used for ranking, classification and many other machine learning...

adabag
 Referenced in 7 articles
[sw08024]
 Breiman’s Bagging algorithm using classification trees as individual classifiers. Once these classifiers have been...

CART
 Referenced in 7 articles
[sw25289]
 CART® software is the ultimate classification tree that has revolutionized the field of advanced analytics...

CMAR
 Referenced in 53 articles
[sw28406]
 associative classification method, CMAR, i.e., Classification based on Multiple Association Rules. The method extends ... growth, constructs a class distributionassociated FPtree, and mines large databases efficiently. Moreover ... applies a CRtree structure to store and retrieve mined association rules efficiently, and prunes ... confidence, correlation and database coverage. The classification is performed based on a weighted /spl...

DTREG
 Referenced in 4 articles
[sw23356]
 work of creating a decision tree, Support Vector Machine, KMeans clustering, Linear Discriminant Function ... analyses can be set up in minutes. Classification ... Regression Trees. DTREG can build Classification Trees where the target variable being predicted is categorical...

MedTree
 Referenced in 3 articles
[sw12469]
 novel algorithm to optimize classification trees. L. Breiman, J. H. Friedman, R. A. Olshen ... 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 and regression. In this paper ... able to increase the quality of classification trees beyond the quality of trees, which...

SODAS
 Referenced in 74 articles
[sw00885]
 base, distance matrix for symbolic objects, divisible classification of symbolic data, symbolic kernel discriminant analysis ... component analysis, histograms and elementary statistics, segmentation tree for stratified data, decision tree...