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cs.LG2024★ 1 cited
Example-based Explanations for Random Forests using Machine Unlearning
Tanmay Surve, Romila Pradhan
Tree-based machine learning models, such as decision trees and random forests, have been hugely successful in classification tasks primarily because of their predictive power in su…
cs.LG2021★ 4 cited
Interpretable Data-Based Explanations for Fairness Debugging
Romila Pradhan, Jiongli Zhu, Boris Glavic +1
A wide variety of fairness metrics and eXplainable Artificial Intelligence (XAI) approaches have been proposed in the literature to identify bias in machine learning models that ar…