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A Model-Agnostic Algorithm for Bayes Error Determination in Binary
  Classification

A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification

24 July 2021
Umberto Michelucci
Michela Sperti
Dario Piga
F. Venturini
M. Deriu
ArXivPDFHTML

Papers citing "A Model-Agnostic Algorithm for Bayes Error Determination in Binary Classification"

2 / 2 papers shown
Title
Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification
Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Takashi Ishida
Ikko Yamane
Nontawat Charoenphakdee
Gang Niu
Masashi Sugiyama
BDL
UQCV
48
14
0
01 Feb 2022
Model Evaluation, Model Selection, and Algorithm Selection in Machine
  Learning
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
S. Raschka
75
764
0
13 Nov 2018
1