Applies regression from a tree ensemble model by using the mean of the individual predictions.
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- Tree Ensemble Learner (Regression)27 %
Model Reader6 %CSV Reader4 %- Partitioning3 %
Tree Ensemble Learner3 %Excel Reader (XLS)2 %- Math Formula2 %
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File Reader2 %Row Splitter (deprecated)2 %- Missing Value2 %
Random Forest Learner1 %- Normalizer1 %
String To Number1 %PCA Apply1 %- Cell to Model1 %
- Excel Reader1 %
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- Normalizer (Apply)1 %
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Row Filter (deprecated)< 1 %Database Reader< 1 %- Missing Value Column Filter< 1 %
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Number To String< 1 %- Cross Joiner< 1 %
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Table Column to Variable< 1 %- Tree Ensemble Predictor (Regression)< 1 %
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Joiner< 1 %- Java Snippet Row Filter< 1 %
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Table Row To Variable Loop Start< 1 %- Table Creator< 1 %
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Column Appender< 1 %- Many to One< 1 %
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- GroupBy< 1 %
- Normalizer Apply (PMML)< 1 %
Column Rename< 1 %- Row Sampling< 1 %
- Rule Engine< 1 %
CASE Switch Data (Start)< 1 %- Color Manager< 1 %
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- Boosting Learner Loop Start< 1 %
Python Script (1⇒2)< 1 %Interval Loop Start< 1 %- Chunk Loop Start< 1 %
- Group Loop Start< 1 %
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- Auto-Binner (Apply)< 1 %
- Category to Number< 1 %
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- Image Generator< 1 %
- Date&Time to String< 1 %
- Create Date&Time Range< 1 %
- Window Loop Start< 1 %
Binary Scorer< 1 %- Variable to Table Row< 1 %
- Model Writer< 1 %
- Java Snippet< 1 %
- PCA Apply< 1 %
- Random Forest Predictor< 1 %
- RowID< 1 %
- String Manipulation (Variable)< 1 %
- Column Expressions (legacy)< 1 %
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03_Learning_a_Tree_Ensemble_ModelKNIME Hub- 311031- 311044- 311112KNIME Hub
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