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cs.LG2025
Cluster-Based Random Forest Visualization and Interpretation
Max Sondag, Christofer Meinecke, Dennis Collaris +2
Random forests are a machine learning method used to automatically classify datasets and consist of a multitude of decision trees. While these random forests often have higher perf…
cs.LG2018★ 18 cited
Instance-Level Explanations for Fraud Detection: A Case Study
Dennis Collaris, Leo M. Vink, Jarke J. van Wijk
Fraud detection is a difficult problem that can benefit from predictive modeling. However, the verification of a prediction is challenging; for a single insurance policy, the model…