This node treats outliers in the input data according to the parameters of the model input (typically coming from the Numeric Outliers node). It detects and treats the outliers of all columns in the input data that are also contained in the model input. The detection of the outliers in the input data relies solely on the rules learned by the model.
If required, the node automatically updates the domain of the outlier columns as defined by the input model. Given the case that the node is executed in streaming mode no domain updates will be performed.
Note that all observations belonging to groups not seen by the model will be considered non-outliers.
Popular Predecessors
- Numeric Outliers24 %
- Partitioning6 %
CSV Reader6 %- Missing Value (Apply)5 %
Model Reader4 %Excel Reader (XLS)3 %- Linear Correlation2 %
- Data Explorer2 %
- Model Reader2 %
- Excel Reader2 %
- Statistics2 %
- Missing Value Column Filter2 %
File Reader1 %- One to Many1 %
- Rule Engine1 %
- Numeric Outliers (Apply)1 %
- Crosstab1 %
Row Filter (deprecated)1 %- Column Aggregator1 %
Joiner1 %- Normalizer1 %
- Color Manager1 %
- Cell to Model1 %
- Joiner1 %
- Column Filter< 1 %
- CSV Reader< 1 %
- Normalizer (Apply)< 1 %
- Missing Value< 1 %
- Rule-based Row Filter< 1 %
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- Numeric Scorer< 1 %
- Number to String (PMML)< 1 %
- Table Creator< 1 %
- GroupBy< 1 %
- Sorter< 1 %
- Reference Row Filter< 1 %
Table Column to Variable< 1 %- Linear Regression Learner< 1 %
- Column Comparator< 1 %
- Row Sampling< 1 %
CASE Switch Data (Start)< 1 %- Box Plot (legacy)< 1 %
- Math Formula< 1 %
- Rank Correlation< 1 %
- Conditional Box Plot (legacy)< 1 %
- Column Filter (legacy)< 1 %
Database Reader< 1 %- DBSCAN< 1 %
- Column Auto Type Cast< 1 %
- Number to String< 1 %
Linear Correlation< 1 %- Correlation Filter< 1 %
- IF Switch< 1 %
- Workflow Executor< 1 %
- Range Filter< 1 %
- ARFF Reader< 1 %
- Cluster Assigner< 1 %
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Scorer< 1 %- SMOTE< 1 %
- Simple Regression Tree Predictor< 1 %
- Numeric Binner< 1 %
- Category to Number (Apply)< 1 %
Row Splitter (deprecated)< 1 %Column Rename< 1 %- RowID< 1 %
Rank Correlation< 1 %- Single sample t-test< 1 %
- Extract Table Spec< 1 %
- Microsoft SQL Server Connector< 1 %
- Mahalanobis Distance< 1 %
- Distance Matrix Reader< 1 %
- Math Formula (Multi Column)< 1 %
Excel Reader (XLS)< 1 %- Container Output (Table)< 1 %
- Date&Time-based Row Filter< 1 %
- Time Difference (legacy)< 1 %
- File Reader< 1 %
- Feature Selection Loop Start (1:1)< 1 %
- Create Bit Vector< 1 %
- Column Resorter< 1 %
- Constant Value Column Filter< 1 %
- Low Variance Filter< 1 %
- Date&Time to String< 1 %
- Date&Time Part Extractor< 1 %
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Workflows
01_Capturing_segments_-_Credit_scoring_training_workflowKNIME Hub- 01_Capturing_segments_-_Credit_scoring_training_workflowKNIME Hub
- 01_Capturing_segments_-_Credit_scoring_training_workflowKNIME Hub
- 01_Capturing_segments_-_Credit_scoring_training_workflowKNIME Hub
- 01_Capturing_segments_-_Credit_scoring_training_workflowKNIME Hub
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Developers
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