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Use SMOTE and ROSE algorithms to balance data

R Rose Balance Imbalanced Knime

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Use both SMOTE (Synthetic Minority Over-sampling Technique) and ROSE (Random Over-Sampling Examples) algorithms to balance data. SMOTE is implemented within KNIME. ROSE can be accessed via R. It is advisable to balace only your training data and leave the test/validation data as they are or you run the risk of greatly inflated values on your precision statistics.

External resources

  • more options about unbalanced data
  • SMOTE Hints from KNIME Team members 3 (Classification Threshold Analysis)
  • SMOTE Hints from KNIME Team members 2
  • SMOTE Hints from KNIME Team members 1
  • Imbalanced Data : How to handle Imbalanced Classification Problems
  • forum entry
  • R ROSE

Used extensions & nodes

Created with KNIME Analytics Platform version 4.1.0
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    KNIME Core Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

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    KNIME Interactive R Statistics Integration Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

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