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Binary Classifier Calibration: Non-parametric approach

Binary Classifier Calibration: Non-parametric approach

14 January 2014
Mahdi Pakdaman Naeini
G. Cooper
Milos Hauskrecht
ArXiv (abs)PDFHTML

Papers citing "Binary Classifier Calibration: Non-parametric approach"

5 / 5 papers shown
Title
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty Calibration
Siguang Huang
Yunli Wang
Lili Mou
Huayue Zhang
Ziru Xu
Chuan Yu
Bo Zheng
178
15
0
13 Mar 2025
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
GETS: Ensemble Temperature Scaling for Calibration in Graph Neural Networks
Dingyi Zhuang
Chonghe Jiang
Yunhan Zheng
Shenhao Wang
Jinhua Zhao
UQCV
107
0
0
12 Oct 2024
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
Reassessing How to Compare and Improve the Calibration of Machine Learning Models
M. Chidambaram
Rong Ge
102
2
0
06 Jun 2024
Learning Optimized Risk Scores
Learning Optimized Risk Scores
Berk Ustun
Cynthia Rudin
164
84
0
01 Oct 2016
Predicting accurate probabilities with a ranking loss
Predicting accurate probabilities with a ranking loss
A. Menon
Xiaoqian Jiang
Shankar Vembu
Charles Elkan
L. Ohno-Machado
74
71
0
18 Jun 2012
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