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
- Slides (KNIME Analytics Platform Course)
- ROC Curve of a Classification Model
- Evaluating Classification Model Performance with the Scorer Node
- Decision Tree Learner Node: Algorithm Settings
- Behind the Scenes of the Decision Tree with KNIME
- Drag & Drop Data Science
- The Learner-Predictor Construct
- KNIME Analytics: a Review
Used extensions & nodes
Created with KNIME Analytics Platform version 4.4.0
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