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Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss

H2oH2o.aiMulticlassMachine learningLogloss
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Dec 6, 2018 6:45 PM
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Score UCI Wine Quality Dataset - multiple Targets (multiclass) with H2O.ai nodes and other models - measure results with LogLoss

External resources

  • UCI - Wine Quality Data Set
  • vtreat for KNIME!
  • (44276) forum entry
  • [multiclass] Score Documents with multiple Classes?
  • [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (1)
  • [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (2)
  • H2O Multinomial Scorer - for LogLoss stats
  • collection of multiclass data sets
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Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodesTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

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    KNIME Conda IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Excel SupportTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Extension for Big Data File FormatsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME H2O Machine Learning IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Weka Data Mining Integration (3.7)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME XGBoost IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime

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