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Model Selection to predict Death Occurrences in Car Accidents

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Oct 5, 2015 9:28 AM
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This workflow trains a few data analytics models and automatically selects the best one to predict death in car accidents. Data has been sub-sampled to allow the workflow execution also on the least equipped machines. Sub-sampling is in metanode Reading Data/Pre-processing and can be removed to make the workflow run on all data.

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  • Model Selection and Management with KNIME
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Used extensions & nodes

Created with KNIME Analytics Platform version 3.3.2
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    KNIME CoreTrusted extension

    KNIME GmbH, Konstanz, Germany

    Versions 3.1.0, 3.3.2

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    knime
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    KNIME Ensemble Learning WrappersTrusted extension

    KNIME GmbH, Konstanz, Germany

    Versions 3.1.0, 3.3.0

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    knime
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    KNIME Interactive R Statistics IntegrationTrusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.3.0

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    knime
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    KNIME JavaScript ViewsTrusted extension

    KNIME GmbH, Konstanz, Germany

    Versions 3.1.0, 3.3.2

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    knime
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    KNIME JPMML IntegrationTrusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.1.0

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    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.3.0

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    knime
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    KNIME Modular PMML NodesTrusted extension

    KNIME GmbH, Konstanz, Germany

    Version 3.3.0

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    knime
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    KNIME Quick FormsTrusted extension

    KNIME.com, Zurich, Switzerland

    Versions 3.1.0, 3.3.2

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    knime

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