|
gptkbp:instanceOf
|
gptkb:algorithm
|
|
gptkbp:describedBy
|
gptkb:Classification_and_Regression_Trees_(book)
|
|
gptkbp:developedBy
|
gptkb:Charles_Stone
gptkb:Leo_Breiman
gptkb:Jerome_Friedman
gptkb:Richard_Olshen
|
|
gptkbp:field
|
gptkb:machine_learning
statistics
data mining
|
|
gptkbp:fullName
|
gptkb:Classification_and_Regression_Trees
|
|
gptkbp:handles
|
categorical data
missing values
numerical data
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
C&RT
|
|
gptkbp:influenced
|
gptkb:Random_Forest
gptkb:Gradient_Boosted_Trees
|
|
gptkbp:input
|
target variable
feature vectors
|
|
gptkbp:introducedIn
|
1986
|
|
gptkbp:license
|
varies by implementation
|
|
gptkbp:openSource
|
gptkb:SAS_Enterprise_Miner
gptkb:scikit-learn
gptkb:SPSS_Modeler
R (rpart package)
|
|
gptkbp:output
|
tree structure
|
|
gptkbp:pruningMethod
|
cost-complexity pruning
|
|
gptkbp:relatedTo
|
gptkb:CHAID
gptkb:C4.5
gptkb:CART
gptkb:ID3
|
|
gptkbp:splittingCriterion
|
information gain
variance reduction
Gini impurity
|
|
gptkbp:type
|
gptkb:tree
|
|
gptkbp:usedFor
|
gptkb:dictionary
regression
|
|
gptkbp:bfsParent
|
gptkb:SPSS_Decision_Trees
|
|
gptkbp:bfsLayer
|
6
|