Predicts patterns according to an aggregation of the predictions of the individual trees 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 Learner42 %
- Partitioning15 %
- X-Partitioner4 %
- Model Reader2 %
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Number To String2 %- Column Filter2 %
- CSV Reader1 %
- Excel Reader1 %
- Normalizer (Apply)< 1 %
Scorer< 1 %- Normalizer< 1 %
- Missing Value< 1 %
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Joiner< 1 %- Tree Ensemble Learner< 1 %
Row Filter (deprecated)< 1 %- Joiner< 1 %
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Column Rename< 1 %- Denormalizer< 1 %
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CSV Reader< 1 %Model Reader< 1 %PCA Apply< 1 %- Auto-Binner< 1 %
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Column Appender< 1 %- Loop End< 1 %
- Rule Engine< 1 %
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- Table Reader< 1 %
- Column Appender< 1 %
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- SMOTE< 1 %
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Row Splitter (deprecated)< 1 %- RowID< 1 %
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Table Reader< 1 %- Scorer< 1 %
- Normalizer (PMML)< 1 %
- Parameter Optimization Loop Start< 1 %
- Date&Time Difference< 1 %
- Conformal Calibration Loop Start< 1 %
- Ungroup< 1 %
File Reader< 1 %- Decision Tree Predictor< 1 %
Gradient Boosted Trees Predictor< 1 %- Random Forest Predictor (Regression)< 1 %
- Concatenate< 1 %
- Row Sampling< 1 %
- Sorter< 1 %
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- Wait...< 1 %
PMML Writer< 1 %- PCA Apply< 1 %
- PCA< 1 %
- Tree Ensemble Model Extract< 1 %
- Auto-Binner (Apply)< 1 %
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- Correlation Filter< 1 %
- Cross Joiner< 1 %
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- Column Expressions< 1 %
- SHAP Loop Start< 1 %
- File Reader (Complex Format)< 1 %
- Gradient Boosted Trees Predictor< 1 %
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- Linear Correlation< 1 %
- Column Renamer< 1 %
Database Reader< 1 %- Table Creator< 1 %
- Random Forest Predictor< 1 %
Concatenate (Optional in)< 1 %- Numeric Binner< 1 %
- Bootstrap Sampling< 1 %
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- Reference Column Filter< 1 %
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Color Appender< 1 %- Boosting Learner Loop Start< 1 %
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- String to Date&Time< 1 %
- RDKit Descriptor Calculation< 1 %
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- X-Aggregator< 1 %
- K Nearest Neighbor< 1 %
PCA< 1 %- Linear Regression Learner< 1 %
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- Number to Category (Apply)< 1 %
- String to Number< 1 %
- One to Many< 1 %
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Number To String (PMML)< 1 %- Number Rounder< 1 %
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- Numeric Outliers (Apply)< 1 %
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- Statistics< 1 %
CASE Switch Data (End)< 1 %- Data Generator< 1 %
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- Conformal Partitioning< 1 %
- DB Query Reader< 1 %
- Model Writer< 1 %
- Refresh Button Widget< 1 %
- ARFF Reader< 1 %
Database Connection Table Reader< 1 %- Decision Tree Learner< 1 %
- Column Auto Type Cast< 1 %
- Target Shuffling< 1 %
- Value Counter< 1 %
Python Script (1⇒1)< 1 %- Extract Missing Value Cause< 1 %
- Numeric Row Splitter< 1 %
- Model Loop Start< 1 %
Counting Loop Start< 1 %- Logistic Regression Learner< 1 %
- Random Forest Distance< 1 %
Cell Replacer< 1 %- Lag Column< 1 %
CASE Switch Model (End)< 1 %- ROC Curve (legacy)< 1 %
- PMML Predictor< 1 %
- Java Snippet (simple)< 1 %
- Table View (JavaScript)< 1 %
- Container Input (Row)< 1 %
- LIME Loop Start< 1 %
- Date&Time-based Row Filter< 1 %
- Cluster Assigner< 1 %
- Reference Column Splitter< 1 %
- Strings to Binary Objects< 1 %
- Java Snippet< 1 %
Variable Loop End< 1 %String To Number< 1 %- Low Variance Filter< 1 %
- Weka Cluster Assigner (3.7)< 1 %
Table Row To Variable Loop Start< 1 %- Chunk Loop Start< 1 %
Recursive Loop Start (2 ports)< 1 %Recursive Loop Start< 1 %- Cell Splitter By Position< 1 %
- Column Rename (Regex)< 1 %
- Column Resorter< 1 %
- Double to Integer< 1 %
- Constant Value Column Filter< 1 %
- Nominal Value Row Splitter< 1 %
- Cache< 1 %
- Boosting Learner Loop End< 1 %
- PMML Ensemble Predictor< 1 %
- PMML Ensemble to Table< 1 %
- Weka Predictor (3.7)< 1 %
- Value Filter (legacy)< 1 %
Python Script (2⇒1)< 1 %- R Snippet< 1 %
- Conformal Prediction Loop Start< 1 %
- ECFP/FCFP< 1 %
- CASE Switch Start< 1 %
- Document Vector Hashing Applier< 1 %
Call Workflow Service< 1 %Naive Bayes Predictor< 1 %- Edit Nominal Domain< 1 %
Excel Reader (XLS)< 1 %- JSON to Table< 1 %
- Moving Aggregator< 1 %
- RDKit Count-Based Fingerprint< 1 %
- Benchmark Start< 1 %
- Plate Heatmap Viewer< 1 %
- Fingerprints Expander< 1 %
- Split Collection Column< 1 %
Variable to Table Column< 1 %- Create File Name (legacy)< 1 %
Table Row to Variable< 1 %- Feature Selection Loop End< 1 %
- Naive Bayes Predictor< 1 %
- PNN Predictor< 1 %
- Fuzzy c-Means< 1 %
- k-Means< 1 %
- MultiLayerPerceptron Predictor< 1 %
- SVM Predictor< 1 %
- Tree Ensemble Statistics< 1 %
- Create Bit Vector< 1 %
- Case Converter< 1 %
- Column Combiner< 1 %
- CAIM Binner< 1 %
String Replace (Dictionary)< 1 %- Independent groups t-test< 1 %
CASE Switch Data (Start)< 1 %- Timer Info< 1 %
- Crosstab< 1 %
- SDF Reader< 1 %
- Distance Matrix Reader< 1 %
K Nearest Neighbor (Distance Function)< 1 %- K Nearest Neighbor (Distance Function)< 1 %
- PMML to Cell< 1 %
Excel Reader (XLS)< 1 %- Decision Tree View (JavaScript)< 1 %
- Container Input (JSON)< 1 %
- JSON Path< 1 %
- Parameter Optimization Loop End< 1 %
Python Script (1⇒2)< 1 %R Model Reader< 1 %- Date&Time to String< 1 %
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- Don't Save Start (3 Ports)< 1 %
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- Random Numbers Generator< 1 %
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Table Writer< 1 %- Group Loop Start< 1 %
- Naive Bayes Learner< 1 %
- String Manipulation (Multi Column)< 1 %
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- Lift Chart (legacy)< 1 %
- Workflow Executor< 1 %
- Random Label Assigner< 1 %
- Word Vector Apply (legacy)< 1 %
- Text Output Widget (legacy)< 1 %
- Image to DataRow< 1 %
- XGBoost Predictor< 1 %
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