Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization

doi:doi:10.57702/pi47fzic

Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization

The dataset used in this paper is a binary classification task, where the goal is to predict the probability of a positive label given a set of features.

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David Durfee, Aman Gupta, Kinjal Basu (2025). Dataset: Heterogeneous Calibration: A post-hoc model-agnostic framework for improved generalization. https://doi.org/10.57702/pi47fzic

DOI retrieved: January 2, 2025

Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.48550/arXiv.2202.04837
Author	David Durfee
More Authors	Aman Gupta Kinjal Basu