Classification and Regression Trees

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:algorithm
gptkbp:abbreviation	gptkb:CART
gptkbp:application	finance marketing bioinformatics diagnosis fraud detection credit scoring customer segmentation
gptkbp:describedBy	gptkb:Classification_and_Regression_Trees_(book)
gptkbp:feature	pruning non-parametric handles missing values binary splits interpretable recursive partitioning
gptkbp:field	gptkb:machine_learning statistics data mining
https://www.w3.org/2000/01/rdf-schema#label	Classification and Regression Trees
gptkbp:influenced	ensemble methods bagging boosting
gptkbp:introduced	gptkb:Charles_Stone gptkb:Leo_Breiman gptkb:Jerome_Friedman gptkb:Richard_Olshen
gptkbp:introducedIn	1986
gptkbp:license	public domain
gptkbp:limitation	overfitting biased towards features with more levels instability to small data changes
gptkbp:output	tree structure
gptkbp:relatedTo	gptkb:CHAID gptkb:C4.5_algorithm gptkb:ID3_algorithm random forest boosted trees
gptkbp:software	gptkb:SAS gptkb:SPSS R Python scikit-learn
gptkbp:splittingCriterion	information gain variance reduction Gini impurity
gptkbp:type	gptkb:tree
gptkbp:usedFor	gptkb:dictionary regression
gptkbp:bfsParent	gptkb:C&RT
gptkbp:bfsLayer	7