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  • 07 Random Forest - Solution
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07 Random Forest - Solution

Ensemble model Random Forest
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Solution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, and evaluate the model's performance with numeric scoring metrics. CHECK YOUR ANSWERS: Prediction of a room price deviates in average $55 (MAE), 39% in percentage terms (MAPE)

External resources

  • Random Forest
  • Random Forest Learner & Predictor

Used extensions & nodes

Created with KNIME Analytics Platform version 4.5.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Versions 4.4.0, 4.5.0

    knime
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    KNIME Ensemble Learning Wrappers Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Expressions Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME JavaScript Views Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME JavaScript Views (Labs) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Javasnippet Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Math Expression (JEP) Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Quick Forms Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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    KNIME Statistics Nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.4.0

    knime
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