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

H2o H2o.ai Multiclass Machine learning Logloss
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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

  • Medium: Data preparation for Machine Learning with KNIME and the Python “vtreat” package
  • vtreat for KNIME!
  • UCI - Wine Quality Data Set
  • collection of multiclass data sets
  • H2O Multinomial Scorer - for LogLoss stats
  • [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (2)
  • [multiclass] Model for Multiclass Targets (and explanation of Log Loss statistics) (1)
  • [multiclass] Score Documents with multiple Classes?
  • (44276) forum entry

Used extensions & nodes

Created with KNIME Analytics Platform version 4.7.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Conda Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Extension for Big Data File Formats Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME H2O Machine Learning Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Python Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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    KNIME Quick Forms Trusted 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 Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.7.0

    knime
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