DTOR: Decision Tree Outlier Regressor to explain anomalies

arXiv:2403.10903v1 Announce Type: new
Abstract: Explaining outliers occurrence and mechanism of their occurrence can be extremely important in a variety of domains. Malfunctions, frauds, threats, in addition to being correctly identified, oftentimes need a valid explanation in order to effectively perform actionable counteracts. The ever more widespread use of sophisticated Machine Learning approach to identify anomalies make such explanations more challenging. We present the Decision Tree Outlier Regressor (DTOR), a technique for producing rule-based explanations for individual data points by …

abstract arxiv cs.ai cs.lg decision domains machine machine learning outlier outliers stat.ml threats tree type