Classifies data using a Gradient Boosted Trees model. The implementation follows the algorithms described in "Greedy Function Approximation: A Gradient Boosting Machine" by Jerome H. Friedman (1999)". For more information you can also take a look at this .
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- Scorer35 %
- X-Aggregator7 %
- Scorer (JavaScript)5 %
- Column Filter3 %
- Numeric Scorer3 %
Excel Writer (XLS)3 %- ROC Curve (legacy)3 %
- Column Rename (Regex)1 %
- Joiner< 1 %
- Boosting Learner Loop End< 1 %
- Category to Number< 1 %
- String Manipulation< 1 %
- Color Manager< 1 %
- Scatter Plot (JavaScript)< 1 %
- End IF< 1 %
- Lift Chart (legacy)< 1 %
Scorer< 1 %- Normalizer< 1 %
- Capture Workflow End< 1 %
- Excel Writer< 1 %
- Binary Classification Inspector< 1 %
- CSV Writer< 1 %
- Entropy Scorer< 1 %
- Random Forest Learner< 1 %
- Column Appender< 1 %
Row Splitter (deprecated)< 1 %- GroupBy< 1 %
- Missing Value< 1 %
- ROC Curve< 1 %
- Line Plot (JavaScript)< 1 %
- Shapley Values Loop End< 1 %
Column Appender< 1 %- Denormalizer< 1 %
- Partitioning< 1 %
- Data Explorer< 1 %
- Scatter Plot (legacy)< 1 %
- Scatter Plot (JFreeChart)< 1 %
- Lift Chart (JavaScript)< 1 %
- ROC Curve (JavaScript)< 1 %
- Decision Tree Predictor< 1 %
- Value Counter< 1 %
- Decision Tree View (JavaScript)< 1 %
- Data to Report (BIRT)< 1 %
- Gradient Boosted Trees Predictor< 1 %
- Random Forest Predictor< 1 %
- Concatenate< 1 %
- Number to String< 1 %
- String to Number< 1 %
- Table Manipulator< 1 %
- Rule-based Row Filter< 1 %
- Rule Engine< 1 %
- Statistics< 1 %
- Table View (JavaScript)< 1 %
- Loop End< 1 %
Numeric Scorer< 1 %- Gradient Boosted Trees Learner< 1 %
- PMML Gradient Boosted Trees Predictor< 1 %
- Auto-Binner< 1 %
- Column Resorter< 1 %
Row Filter (deprecated)< 1 %Joiner< 1 %Column Rename< 1 %- Column Splitter< 1 %
- Crosstab< 1 %
- Boosting Predictor Loop End< 1 %
- Voting Loop End< 1 %
- Column Expressions< 1 %
- Math Formula< 1 %
- Container Output (Table)< 1 %
- Denormalizer (PMML)< 1 %
- RowID< 1 %
- CASE Switch End< 1 %
CASE Switch Data (End)< 1 %- Prediction Fusion< 1 %
- Variable to Table Row< 1 %
- Decision Tree to Image< 1 %
- Table Transposer< 1 %
- Numeric Outliers< 1 %
- Interactive Table (legacy)< 1 %
- Image Viewer< 1 %
- SHAP Loop End< 1 %
- Parameter Optimization Loop End< 1 %
- Conformal Predictor< 1 %
- 2D/3D Scatterplot< 1 %
Variable to Table Column< 1 %CSV Writer< 1 %- Regression Predictor< 1 %
- Reference Column Filter< 1 %
- Row Sampling< 1 %
- String Replacer< 1 %
- Interactive Histogram (legacy)< 1 %
- Line Plot (legacy)< 1 %
- Visualization Property Extractor< 1 %
- Counter Generation< 1 %
Excel Writer (XLS)< 1 %Tableau Writer (Hyper)< 1 %- Python Script (legacy)< 1 %
- Threshold Analyzer< 1 %
- Feature Selection Filter< 1 %
Loop End< 1 %- Chunk Loop Start< 1 %
- X-Partitioner< 1 %
- Naive Bayes Predictor< 1 %
- PNN Learner (DDA)< 1 %
- k-Means< 1 %
- Decision Tree Learner< 1 %
- K Nearest Neighbor< 1 %
- MultiLayerPerceptron Predictor< 1 %
- Logistic Regression Learner< 1 %
- Logistic Regression Predictor< 1 %
- SMOTE< 1 %
- Gradient Boosted Trees Predictor (Regression)< 1 %
- Tree Ensemble Learner< 1 %
- Tree Ensemble Learner (Regression)< 1 %
Cell Replacer< 1 %- Cell Splitter< 1 %
- Number to Category (Apply)< 1 %
String To Number< 1 %- One to Many< 1 %
- Constant Value Column< 1 %
- Cross Joiner< 1 %
- Double to Integer< 1 %
- Missing Value Column Filter< 1 %
- Nominal Value Row Filter< 1 %
- String to Number (PMML)< 1 %
- Nominal Probability Distribution Splitter< 1 %
- Number Rounder< 1 %
- Sorter< 1 %
- Rule-based Row Splitter< 1 %
- Rank Correlation< 1 %
- Pie chart (legacy)< 1 %
- Scatter Matrix (legacy)< 1 %
Color Appender< 1 %- DB Writer< 1 %
- 3D Scatter Plot (Plotly)< 1 %
- Scatter Plot (Plotly)< 1 %
- Boosting Learner Loop Start< 1 %
- Table to PMML Ensemble< 1 %
- Table to PDF (legacy)< 1 %
- Math Formula (Multi Column)< 1 %
- Pie Chart (JFreeChart)< 1 %
- Document Data Extractor< 1 %
- Column Filter (legacy)< 1 %
- SHAP Loop Start< 1 %
- Partial Dependence/ICE Plot< 1 %
- Feature Inserter< 1 %
- Score Erosion< 1 %
Python Script (1⇒1)< 1 %- Binned Performance< 1 %
Binary Scorer< 1 %
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