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Guided Automation of Machine Learning
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Data Cleansing
Automated Outlier Detection

Automated Outlier Detection

Options

Target Column: Enter Description
Interquartile Range for numeric outlier detection: Enter Description
Contamination estimation (in %): Enter Description

Input Ports

: No description for this port available.
: No description for this port available.

Output Ports

: No description for this port available.
: No description for this port available.

Nodes

RowID3 ×
Double Configuration2 ×
H2O Isolation Forest Predictor2 ×
H2O Local Context2 ×
H2O to Table2 ×
Joiner2 ×
Numeric Outliers2 ×
Table to H2O2 ×
Column Filter1 ×
Column Rename1 ×
Column Selection Configuration1 ×
Column Splitter1 ×
Component Input1 ×
Component Output1 ×
Domain Calculator1 ×
Extract Table Spec1 ×
Extract Variables (Data)1 ×
GroupBy1 ×
H2O Isolation Forest Learner1 ×
Math Formula (Variable)1 ×
Merge Variables1 ×
Reference Column Resorter1 ×
Reference Column Splitter1 ×
Row Filter1 ×
Rule-based Row Filter1 ×
~~Table Row to Variable~~1 ×
Transpose1 ×

Extensions

FeatureKNIME Base nodes
FeatureKNIME H2O Machine Learning Integration
FeatureKNIME Javasnippet
FeatureKNIME Math Expression (JEP)
FeatureKNIME Quick Forms
Show all 6 modules

Links

No links available

Download

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

Download Component

On NodePit since: 2020-12-07

Last update: 2025-07-21

Created with KNIME version: v4.2.2

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Intro Options Input Ports Output Ports Nodes Extensions Links

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