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  • 04. Data Mining
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Data Mining

Machine learning Data mining Classification Regression Prediction
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Exercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance using scoring metrics for a classification model and an ROC Curve - Train a linear regression model to predict a numeric target column - Evaluate the performance of the regression model - Cluster data based on latitude and longitude - Visualize clusters in a scatter plot and on a map

External resources

  • KNIME Analytics: a Review
  • The Learner-Predictor Construct
  • Drag & Drop Data Science
  • Behind the Scenes of the Decision Tree with KNIME
  • Decision Tree Learner Node: Algorithm Settings
  • Evaluating Classification Model Performance with the Scorer Node
  • ROC Curve of a Classification Model
  • Slides (KNIME Analytics Platform Course)

Used extensions & nodes

Created with KNIME Analytics Platform version 4.3.0
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    KNIME Base nodes Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Database Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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    KNIME Excel Support Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.3.0

    knime
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