Evaluating Probabilistic Classifiers: The Triptych

25 January 2023

Papers citing "Evaluating Probabilistic Classifiers: The Triptych"

7 / 7 papers shown

Title
A Consequentialist Critique of Binary Classification Evaluation Practices Gerardo Flores Abigail Schiff Alyssa H. Smith Julia A Fukuyama Ashia C. Wilson 21 0 0 06 Apr 2025
A Spatio-Temporal Machine Learning Model for Mortgage Credit Risk: Default Probabilities and Loan Portfolios Pascal Kündig Fabio Sigrist 32 1 0 03 Oct 2024
Selecting a classification performance measure: matching the measure to the problem D. Hand Peter Christen Sumayya Ziyad 26 1 0 19 Sep 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 74 1 0 06 Jun 2024
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing Jarosław Błasiok Preetum Nakkiran UQCV 48 20 0 21 Sep 2023
Metrics of calibration for probabilistic predictions Imanol Arrieta Ibarra Paman Gujral Jonathan Tannen M. Tygert Cherie Xu 55 20 0 19 May 2022
Notes on the H-measure of classifier performance D. Hand C. Anagnostopoulos 23 11 0 22 Jun 2021