Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain

Impact of Dataset Size on Classification Performance: An Empirical Evaluation in the Medical Domain

Dataset size is considered a major concern in the medical domain, where lack of data is a common occurrence. This study aims to investigate the impact of dataset size on the overall performance of supervised classification models. We examined the performance of six widely-used models in the medical...

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Bibliographic Details
Main Authors: Alhanoof Althnian, Duaa AlSaeed, Heyam Al-Baity, Amani Samha, Alanoud Bin Dris, Najla Alzakari, Afnan Abou Elwafa, Heba Kurdi
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
medical data
dataset size
supervised models
classification
performance
machine learning
Online Access:https://www.mdpi.com/2076-3417/11/2/796

Internet

https://www.mdpi.com/2076-3417/11/2/796

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