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Outlier Detection

paolotamag profile image
VersionlatestLatest, created on 
Oct 24, 2023 2:52 PM
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This component applies two different methods to detect and remove outlier rows from the data: 1. statistics-based method (boxplot) is used to detect numeric outliers 2. non-parametric method (isolation forest) is used to detect outliers in String columns

Component details

Input ports
  1. Type: Table
    Input Port
    Data to detect outliers
Output ports
  1. Type: Table
    Output Port
    Data from which outliers have been removed

Used extensions & nodes

Created with KNIME Analytics Platform version 4.0.2
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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    KNIME Data GenerationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.0

    knime
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    KNIME H2O Machine Learning IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime

This component does not have nodes, extensions, nested components and related workflows

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