This workflow trains a classification model using the Decision Tree algorithm and evaluates its accuracy by scoring metrics, ROC Curve, and Lift Chart.
External resources
- From Modeling to Scoring: Confusion Matrix and Class Statistics
- Evaluating Classification Model Performance with the Scorer (JavaScript) Node
- What is an ROC Curve?
- ROC Curve of a Classification Model
- German Credit Card Data Set provided by UCI Machine Learning Repository
- Spambase Data Set provided by UCI Machine Learning Repository
Used extensions & nodes
Created with KNIME Analytics Platform version 4.1.0
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License (CC-BY-4.0)