Data Mining - Solution

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

• 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