This Node Is Deprecated — This version of the node has been replaced with a new and improved version. The old version is kept for backwards-compatibility, but for all new workflows we suggest to use the version linked below.
Go to Suggested ReplacementRandom Forest PredictorPredicts patterns according to a majority vote in a random forest* model.
(*) RANDOM FORESTS is a registered trademark of Minitab, LLC and is used with Minitab’s permission.
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Random Forest Learner74 %- Missing Value3 %
CSV Reader2 %- Partitioning2 %
XLS Reader1 %Number To String1 %- Missing Value (Apply)< 1 %
Column Rename< 1 %Backward Feature Elimination Start (2:2)< 1 %- Column Filter< 1 %
Random Forest Learner (Regression)< 1 %Random Forest Predictor< 1 %- Auto-Binner (Apply)< 1 %
- Domain Calculator< 1 %
- Equal Size Sampling< 1 %
- Rule Engine< 1 %
Table Reader< 1 %- X-Partitioner< 1 %
Column Appender< 1 %Row Splitter (deprecated)< 1 %- Normalizer< 1 %
- ARFF Reader< 1 %
File Reader< 1 %- Reference Row Filter< 1 %
Color Appender< 1 %- String Replacer< 1 %
- Boosting Learner Loop Start< 1 %
Model Reader< 1 %- Decision Tree Predictor< 1 %
Tree Ensemble Learner< 1 %- Numeric Binner< 1 %
- Constant Value Column< 1 %
Row Filter (deprecated)< 1 %- Column Splitter< 1 %
- Cell to Model< 1 %
- Random Forest Learner< 1 %
- Bootstrap Sampling< 1 %
- Boosting Predictor Loop Start< 1 %
- Cluster Assigner< 1 %
- Concatenate< 1 %
- Column Auto Type Cast< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
Joiner< 1 %- Color Manager< 1 %
Database Reader< 1 %- k-Means< 1 %
Tree Ensemble Learner (Regression)< 1 %Tree Ensemble Predictor< 1 %Random Forest Predictor (Regression)< 1 %- Binner (Dictionary)< 1 %
- Category to Number (Apply)< 1 %
- Reference Column Filter< 1 %
- Normalizer (Apply)< 1 %
- Normalizer Apply (PMML)< 1 %
- Rule-based Row Filter< 1 %
- Decision Tree to Ruleset< 1 %
- Rule Engine (Dictionary)< 1 %
- Model Loop Start< 1 %
- Prediction Fusion< 1 %
Excel Reader (XLS)< 1 %- Parameter Optimization Loop Start< 1 %
- R Snippet< 1 %
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