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Conformal prediction classification

Conformal predictionClassificationIntegrated deploymentMachine learningPrediction analysis
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Nov 19, 2022 2:46 PM
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This demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model prediction certainity and control the desired error rate. The workflow is also implemented with Integrated deployment extension, so it automatically creates production code. Conformal prediction is agnostic to prediction algorithm, so users can easily replace it with any other classification algorithm.

External resources

  • Medium blog post describing the workflow
Loading deploymentsLoading ad hoc jobs

Used extensions & nodes

Created with KNIME Analytics Platform version 4.6.4
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.2

    knime
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    KNIME Ensemble Learning WrappersTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Integrated DeploymentTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.4

    knime
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    KNIME Optimization extensionTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME PlotlyTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.6.4

    knime
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    Redfield Conformal Prediction NodesTrusted extension

    Redfield AB

    Version 2.0.0

    redfield

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