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How to use normalization in a data science solution

machine learning data mining TheGuideBook SVM normalization +2

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This is how to apply normalization correctly in a data science problem. The normalization model is built on the training set and only applied on the test set! The same normalization model is used to denormalize the numerical attributes back into their original ranges.

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Created with KNIME Analytics Platform version 4.1.0
  • KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

  • KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.1.0

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