Evaluation of a decided sample size in machine learning applications
Abstract Background An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with inadequate samples suffer from overfitting of data and have a lower probability of producing true effects, while the increment in sample size in...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2023-02-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-023-05156-9 |