Author

S. Krishnamoorthy

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Preprint Aug 2026

Learning Auditable Classifier Models: Source-Disjoint Tree Ensembles

Predictive models in clinical and regulated settings must be accurate and fully auditable. Tree ensembles deliver strong accuracy on tabular data, but their sequential boosting couples structure discovery with coefficient estimation, making compact per-prediction auditing difficult. Interpretable alternatives impose st...

S. Krishnamoorthy · 0 citations

Preprint Jul 2026

Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data

Results support IAIML as a compact, interaction-aware framework appropriate for settings where bounded explanation size and controlled treatment of feature interactions are design requirements.

S. Krishnamoorthy · 0 citations