The Proportion for Splitting Data into Training and Test Set for the Bootstrap in Classification Problems

Background: The bootstrap can be alternative to cross-validation as a training/test set splitting method since it minimizes the computing time in classification problems in comparison to the tenfold cross-validation.

Bibliographic Details
Main Author: Vrigazova Borislava
Format: Article
Language:English
Published: Sciendo 2021-05-01
Series:Business Systems Research
Subjects:
c38
c52
c55
Online Access:https://doi.org/10.2478/bsrj-2021-0015
Description
Summary:Background: The bootstrap can be alternative to cross-validation as a training/test set splitting method since it minimizes the computing time in classification problems in comparison to the tenfold cross-validation.
ISSN:1847-9375