Applies regression from a regression tree model by using the mean of the records in the corresponding child node.
Options
Popular Predecessors
- PMML Reader9 %
File Reader6 %CSV Reader5 %Excel Reader (XLS)4 %- Cell to PMML3 %
- Table Reader3 %
- Decision Tree Learner3 %
- Simple Regression Tree to PMML3 %
- Decision Tree Predictor2 %
Excel Reader (XLS)2 %Table Reader2 %- Linear Regression Learner2 %
- Partitioning2 %
- Decision Tree to Ruleset2 %
- PMML Simple Regression Tree Predictor2 %
- Simple Regression Tree Predictor2 %
- Column Filter2 %
- CSV Reader2 %
- Excel Reader2 %
- Missing Value2 %
- Fuzzy c-Means2 %
- ARFF Reader1 %
- MultiLayerPerceptron Predictor1 %
- Polynomial Regression Learner1 %
- Numeric Binner (PMML)1 %
- Line Plot (JavaScript)1 %
- XPath1 %
PMML Reader< 1 %- Number to Category (Apply)< 1 %
Number To String< 1 %- Column Resorter< 1 %
- Row Sampling< 1 %
Model Reader< 1 %- X-Partitioner< 1 %
- k-Means< 1 %
- Logistic Regression Learner< 1 %
String To Number< 1 %Row Splitter (deprecated)< 1 %- Column Splitter< 1 %
- Table View (JavaScript)< 1 %
- Scatter Plot (JavaScript)< 1 %
- R Snippet< 1 %
- SOTA Predictor< 1 %
- String to Number< 1 %
- Linear Correlation< 1 %
- GroupBy< 1 %
- String Replacer< 1 %
- Table Creator< 1 %
Column Rename< 1 %- Color Manager< 1 %
Line Reader< 1 %Recursive Loop End< 1 %Recursive Loop Start (2 ports)< 1 %- PNN Learner (DDA)< 1 %
- PNN Predictor< 1 %
- Regression Predictor< 1 %
Scorer< 1 %- Numeric Scorer< 1 %
- SMOTE< 1 %
- PMML Gradient Boosted Trees Predictor< 1 %
- Tree Ensemble Learner (Regression)< 1 %
- Random Forest Learner< 1 %
- Category to Number< 1 %
- Number to String< 1 %
- Domain Calculator< 1 %
- Nominal Value Row Filter< 1 %
Row Filter (deprecated)< 1 %Joiner< 1 %- Many to One (PMML)< 1 %
- One to Many (PMML)< 1 %
- Normalizer (PMML)< 1 %
Number To String (PMML)< 1 %- XML to PMML< 1 %
- Rule-based Row Filter< 1 %
- Table to PMML Ensemble< 1 %
- PMML to Cell< 1 %
- Math Formula< 1 %
- Math Formula (Multi Column)< 1 %
- Cluster Assigner< 1 %
- RProp MLP Learner< 1 %
- Gradient Boosted Trees to PMML< 1 %
- Column Appender< 1 %
- Duplicate Row Filter< 1 %
- Normalizer< 1 %
- Column Filter (PMML)< 1 %
- PMML Ensemble Loop End< 1 %
- Decision Tree View (JavaScript)< 1 %
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