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  • Model Quality Classification - Graphics
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Model Quality Classification - Graphics

Markus Lauber profile image

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Model Quality Classification - Graphics (with R) a lot of this workflow is based on the article and on my experience with data mining ... 11 Important Model Evaluation Metrics for Machine Learning Everyone should know https://www.analyticsvidhya.com/blog/2019/08/11-important-model-evaluation-error-metrics/

Component details

Input ports
  1. Type: Flow Variable
    Flow variables with details about the model
  2. Type: Table
    data input solution = string variable with 1=true, 0=false submission= score double .0-1.0 values
  3. Type: Flow Variable
    R Conda Environment propagation

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.2
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME SVG Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Timeseries nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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