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  • 09. Advanced Data Mining - solution
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Advanced Data Mining - Solution

Tree ensemble Classification Parameter optimization Hillclimbing Cross validation
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Solution to the exercise 10 for KNIME User Training - Training a Random Forest model to predict a nominal target column - Evaluating the performance of a classification model - Optimizing parameters of the Random Forest model - Performing the classification multiple times in a cross validation loop

External resources

  • Slides (KNIME Analytics Platform Course)
  • Random Forest
  • Parameter Optimization for Prediction Models

Used extensions & nodes

Created with KNIME Analytics Platform version 4.4.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Machine Learning Interpretability Extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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    KNIME Optimization extension Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

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