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Is K-fold cross validation the best model selection method for Machine
  Learning?

Is K-fold cross validation the best model selection method for Machine Learning?

29 January 2024
Juan M Gorriz
F. Segovia
J. Ramírez
A. Ortiz
J. Suckling
ArXivPDFHTML

Papers citing "Is K-fold cross validation the best model selection method for Machine Learning?"

3 / 3 papers shown
Title
Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest
Uncertainty-Driven Modeling of Microporosity and Permeability in Clastic Reservoirs Using Random Forest
Muhammad Risha
Mohamed Elsaadany
Paul Liu
40
0
0
21 Mar 2025
Statistical Agnostic Regression: a machine learning method to validate
  regression models
Statistical Agnostic Regression: a machine learning method to validate regression models
Juan M Gorriz
J. Ramírez
F. Segovia
Francisco J. Martínez-Murcia
C. Jiménez-Mesa
J. Suckling
25
0
0
23 Feb 2024
Statistical Agnostic Mapping: a Framework in Neuroimaging based on
  Concentration Inequalities
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
Juan M Gorriz
et al.
Mashrur Chowdhury
24
22
0
27 Dec 2019
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