A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data

A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data

This paper aims to improve the classification performance when the data is imbalanced by applying different sampling techniques available in Machine Learning.

Bibliographic Details
Main Authors: Krishnan Ulagapriya, Sangar Pushpa
Format: Article
Language:English
Published: Sciendo 2021-01-01
Series:Journal of Data and Information Science
Subjects:
imbalanced data
sampling methods
machine learning
classification
Online Access:https://doi.org/10.2478/jdis-2021-0011

Internet

https://doi.org/10.2478/jdis-2021-0011

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