Applies a classification XGBoost model to predict data.
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Popular Successors
- Scorer29 %
- X-Aggregator12 %
- Scorer (JavaScript)11 %
- Column Filter5 %
- ROC Curve (JavaScript)3 %
- ROC Curve (legacy)2 %
- Numeric Scorer2 %
- ROC Curve2 %
Scorer1 %- Column Resorter1 %
- Rule Engine1 %
- Binary Classification Inspector1 %
- Joiner1 %
Column Rename1 %- String to Number< 1 %
- CSV Writer< 1 %
- String Manipulation< 1 %
- SHAP Loop End< 1 %
Joiner< 1 %- Shapley Values Loop End< 1 %
XGBoost Tree Ensemble Learner< 1 %- Entropy Scorer< 1 %
- GroupBy< 1 %
- XGBoost Predictor (Regression)< 1 %
- Math Formula< 1 %
- Lift Chart (JavaScript)< 1 %
- Loop End< 1 %
- RowID< 1 %
- Table to H2O< 1 %
- Partial Dependence/ICE Plot< 1 %
- Capture Workflow End< 1 %
- Excel Writer< 1 %
- Python Script (legacy)< 1 %
- Denormalizer< 1 %
Numeric Scorer< 1 %- Row Filter< 1 %
- Scatter Plot (legacy)< 1 %
- Color Manager< 1 %
- Concatenate< 1 %
- Number to String< 1 %
- Column Appender< 1 %
- SVM Predictor< 1 %
- PCA< 1 %
- Container Output (Table)< 1 %
- Table View< 1 %
- Rule-based Row Filter< 1 %
- DB Insert< 1 %
- Scatter Plot (Plotly)< 1 %
Recursive Loop End< 1 %- Score Erosion< 1 %
- Sorter< 1 %
- Voting Loop End< 1 %
- Line Plot (JavaScript)< 1 %
- Parameter Optimization Loop End< 1 %
Python Script (1⇒1)< 1 %- Python View (legacy)< 1 %
- Java Snippet< 1 %
- Group Loop Start< 1 %
- Timer Info< 1 %
- Threshold Analyzer< 1 %
Loop End< 1 %- Column Rename (Regex)< 1 %
- Normalizer< 1 %
- Conditional Box Plot (legacy)< 1 %
- Interactive Table (legacy)< 1 %
Excel Writer (XLS)< 1 %- Table View (JavaScript)< 1 %
XGBoost Linear Ensemble Learner (Regression)< 1 %- Model Writer< 1 %
- CASE Switch End< 1 %
- Cross Joiner< 1 %
- Scatter Plot (JavaScript)< 1 %
- Least Confident Uncertainty Scorer< 1 %
- Catch Errors (Data Ports)< 1 %
Table Row to Variable< 1 %CSV Writer< 1 %- Loop End (Column Append)< 1 %
- Decision Tree to Image< 1 %
- Decision Tree Learner< 1 %
- Linear Regression Learner< 1 %
Gradient Boosted Trees Predictor< 1 %- Random Forest Learner< 1 %
String To Number< 1 %Column Appender< 1 %- Constant Value Column< 1 %
Linear Correlation< 1 %- Nominal Value Row Filter< 1 %
- Reference Row Filter< 1 %
- Partitioning< 1 %
- Pivot< 1 %
- Missing Value< 1 %
- Rule-based Row Splitter< 1 %
- Rule Engine Variable (Dictionary)< 1 %
- Kolmogorov-Smirnov Test< 1 %
- End IF< 1 %
- Crosstab< 1 %
- Enrichment Plotter (legacy)< 1 %
- Lift Chart (legacy)< 1 %
- Table to Spark< 1 %
- Box Plot (JavaScript)< 1 %
- Math Formula (Multi Column)< 1 %
- Histogram Chart (JFreeChart)< 1 %
Excel Writer (XLS)< 1 %- Column Filter (legacy)< 1 %
- Data Row to Image< 1 %
- LIME Loop Start< 1 %
- R Snippet< 1 %
- R View (Table)< 1 %
- XGBoost Predictor< 1 %
- 2D/3D Scatterplot< 1 %
- Table Writer< 1 %
- Logistic Regression Learner< 1 %
- Random Forest Predictor< 1 %
- Auto-Binner< 1 %
- Cell Splitter< 1 %
- Category to Number< 1 %
- Table Manipulator< 1 %
- Row Sampling< 1 %
- String Replacer< 1 %
- Value Counter< 1 %
- Rank Correlation< 1 %
- Merge Variables< 1 %
- DB Writer< 1 %
- Random Number Assigner< 1 %
- Error Bars Plot (Plotly)< 1 %
- Boosting Learner Loop End< 1 %
- Prediction Fusion< 1 %
- Column Expressions< 1 %
- Pie Chart (JFreeChart)< 1 %
- Data to Report (BIRT)< 1 %
XGBoost Linear Ensemble Learner< 1 %- Binary Scorer< 1 %
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Workflows
00_Guided_Labeling_for_Document_Classification_(legacy)KNIME Hub- 00_Setup workflowKNIME Hub
- 00_Setup workflowKNIME Hub
- 01 Capturing segments - Development training workflowKNIME Hub
- 01_AutoML_Component_via_Interactive_ViewsKNIME Hub
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