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The Data Representativeness Criterion: Predicting the Performance of
  Supervised Classification Based on Data Set Similarity

The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity

27 February 2020
E. Schat
R. Schoot
Wouter M. Kouw
D. Veen
A. Mendrik
    OOD
ArXiv (abs)PDFHTML

Papers citing "The Data Representativeness Criterion: Predicting the Performance of Supervised Classification Based on Data Set Similarity"

5 / 5 papers shown
Title
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses
Medical artificial intelligence toolbox (MAIT): an explainable machine learning framework for binary classification, survival modelling, and regression analyses
Ramtin Zargari Marandi
Anne Svane Frahm
Jens Lundgren
Daniel Dawson Murray
Maja Milojevic
76
0
0
08 Jan 2025
Incorporating Experts' Judgment into Machine Learning Models
Incorporating Experts' Judgment into Machine Learning Models
Hogun Park
Aly Megahed
Peifeng Yin
Yuya Jeremy Ong
P. Mahajan
Pei Guo
23
9
0
24 Apr 2023
Auditing large language models: a three-layered approach
Auditing large language models: a three-layered approach
Jakob Mokander
Jonas Schuett
Hannah Rose Kirk
Luciano Floridi
AILawMLAU
150
215
0
16 Feb 2023
Performance Prediction Under Dataset Shift
Performance Prediction Under Dataset Shift
Simona Maggio
Victor Bouvier
L. Dreyfus-Schmidt
OODAI4TS
33
3
0
21 Jun 2022
Learning Prediction Intervals for Model Performance
Learning Prediction Intervals for Model Performance
Benjamin Elder
Matthew Arnold
Anupama Murthi
Jirí Navrátil
75
12
0
15 Dec 2020
1