CART (Classification and Regression Trees)
GPTKB entity
Statements (28)
Predicate | Object |
---|---|
gptkbp:instanceOf |
gptkb:algorithm
decision tree algorithm |
gptkbp:featureSelection |
recursive binary splitting
|
gptkbp:handles |
categorical data
numerical data |
gptkbp:handlesMissingValues |
true
|
https://www.w3.org/2000/01/rdf-schema#label |
CART (Classification and Regression Trees)
|
gptkbp:interpretable |
true
|
gptkbp:introduced |
gptkb:Charles_Stone
gptkb:Leo_Breiman gptkb:Jerome_Friedman gptkb:Richard_Olshen |
gptkbp:introducedIn |
1986
|
gptkbp:nonparametric |
true
|
gptkbp:openSource |
gptkb:MATLAB
gptkb:scikit-learn R (rpart package) |
gptkbp:output |
gptkb:tree
|
gptkbp:pruningMethod |
cost-complexity pruning
|
gptkbp:publishedIn |
gptkb:Classification_and_Regression_Trees_(book)
|
gptkbp:relatedTo |
random forest
boosted trees |
gptkbp:splittingCriterion |
variance reduction
Gini impurity |
gptkbp:usedFor |
gptkb:dictionary
regression |
gptkbp:bfsParent |
gptkb:Jerome_I._Friedman
|
gptkbp:bfsLayer |
7
|