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  7. Guided Automation of Machine LearningGuided Automation of Machine Learning
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  9. Data CleansingData Cleansing
  10. Guided Outlier DetectionGuided Outlier Detection

Guided Outlier Detection

Options

Target Column
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Interquartile Range for numeric outlier detection
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Contamination estimation (in %)
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Input Ports

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Output Ports

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Nodes

  • Double Configuration4 ×
  • RowID3 ×
  • Column Filter2 ×
  • Column Selection Configuration2 ×
  • Component Input2 ×
  • Component Output2 ×
  • Constant Value Column2 ×
  • Domain Calculator2 ×
  • Extract Table Spec2 ×
  • H2O Isolation Forest Predictor2 ×
  • H2O Local Context2 ×
  • H2O to Table2 ×
  • Joiner2 ×
  • Merge Variables2 ×
  • Numeric Outliers2 ×
  • Row Filter (Labs)2 ×
  • Table to H2O2 ×
  • Transpose2 ×
  • Color Manager1 ×
  • Column Rename1 ×
  • Column Splitter1 ×
  • Concatenate1 ×
  • Extract Variables (Data)1 ×
  • GroupBy1 ×
  • H2O Isolation Forest Learner1 ×
  • Math Formula (Variable)1 ×
  • Parallel Coordinates Plot1 ×
  • Reference Column Filter1 ×
  • Reference Column Resorter1 ×
  • Reference Column Splitter1 ×
  • Reference Row Filter1 ×
  • Row Filter1 ×
  • Rule-based Row Filter1 ×
  • Scatter Plot (JavaScript)1 ×
  • Table Row to Variable1 ×
  • Table View (JavaScript)1 ×
  • Text Output Widget1 ×
  • t-SNE (L. Jonsson)1 ×

Extensions

  • FeatureKNIME Base nodes
  • FeatureKNIME H2O Machine Learning Integration
  • FeatureKNIME JavaScript Views
  • FeatureKNIME Javasnippet
  • FeatureKNIME Math Expression (JEP)
  • Show all 8 modules

Links

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Download

To use this component in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2020-12-07
Last update: 2025-05-17
Created with KNIME version: v4.2.2

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