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Decision Tree Ensemble
Analytics Mining Classification Random Forest Gradient Boosting
+1
  1. Node / Learner
    Gradient Boosted Trees Learner
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of classification. The algorithm uses very shallow regression trees and a specia…
    0
  2. Node / Learner
    Gradient Boosted Trees Learner (Regression)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of regression. The algorithm uses very shallow regression trees and a special fo…
    0
  3. Node / Learner
    Gradient Boosted Trees Learner (Regression) (deprecated)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of regression. The algorithm uses very shallow regression trees and a special fo…
    0
  4. Node / Learner
    Gradient Boosted Trees Learner (deprecated)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns Gradient Boosted Trees with the objective of classification. The algorithm uses very shallow regression trees and a specia…
    0
  5. Node / Predictor
    Gradient Boosted Trees Predictor
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  6. Node / Predictor
    Gradient Boosted Trees Predictor (Regression)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies regression from a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function A…
    0
  7. Node / Predictor
    Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  8. Node / Predictor
    Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function App…
    0
  9. Node / Other
    Gradient Boosted Trees to PMML
    Analytics Mining Decision Tree Ensemble
    +1
    Writes a Gradient Boosted Trees model to PMML. Models learned on bit-, byte- or double-vector columns can be translated but the n…
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  10. Node / Predictor
    PMML Gradient Boosted Trees Predictor
    Analytics Mining Decision Tree Ensemble
    +3
    Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possibl…
    0
  11. Node / Predictor
    PMML Gradient Boosted Trees Predictor (Regression)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies regression from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possible to…
    0
  12. Node / Predictor
    PMML Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possibl…
    0
  13. Node / Predictor
    PMML Gradient Boosted Trees Predictor (deprecated)
    Analytics Mining Decision Tree Ensemble
    +3
    Applies classification from a Gradient Boosted Trees model that is provided in PMML format. Note that it is currently not possibl…
    0
  14. Node / Manipulator
    Random Forest Distance
    Analytics Mining Decision Tree Ensemble
    +1
    Creates a distance measure based on the proximity induced by the given random forest* model. The proximity of two rows is the num…
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  15. Node / Learner
    Random Forest Learner
    Analytics Mining Decision Tree Ensemble
    +2
    Learns a random forest*, which consists of a chosen number of decision trees. Each of the decision tree models is built with a di…
    0
  16. Node / Learner
    Random Forest Learner (Regression)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns a random forest* (an ensemble of decision trees) for regression. Each of the decision tree models is built with a differen…
    0
  17. Node / Learner
    Random Forest Learner (Regression) (deprecated)
    Analytics Mining Decision Tree Ensemble
    +1
    Learns a random forest* (an ensemble of decision trees) for regression. Each of the regression tree models is learned on a differ…
    0
  18. Node / Learner
    Random Forest Learner (deprecated)
    Analytics Mining Decision Tree Ensemble
    +2
    Learns a random forest*, which consists of a chosen number of decision trees. Each of the decision tree models is learned on a di…
    0
  19. Node / Learner
    Random Forest Learner (deprecated)
    Analytics Mining Decision Tree Ensemble
    +1
    Learns a random forest*, which consists of a chosen number of decision trees. Each of the decision tree models is learned on a di…
    0
  20. Node / Predictor
    Random Forest Predictor
    Analytics Mining Decision Tree Ensemble
    +3
    Predicts patterns according to an aggregation of the predictions of the individual trees in a random forest* model. (*) RANDOM FO…
    0