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:
Online Access:https://doi.org/10.2478/jdis-2021-0011
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author Krishnan Ulagapriya
Sangar Pushpa
author_facet Krishnan Ulagapriya
Sangar Pushpa
author_sort Krishnan Ulagapriya
collection DOAJ
description This paper aims to improve the classification performance when the data is imbalanced by applying different sampling techniques available in Machine Learning.
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spelling doaj.art-789cac44196940bf8b9d9d5e244e4be52022-12-21T23:55:59ZengSciendoJournal of Data and Information Science2543-683X2021-01-016117819210.2478/jdis-2021-0011A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show DataKrishnan Ulagapriya0Sangar Pushpa1Department of Computer Science and Engineering, St.Peter's Institute of Higher Education and Research, Chennai, IndiaDepartment of Computer Science and Engineering, St.Peter's Institute of Higher Education and Research, Chennai, IndiaThis paper aims to improve the classification performance when the data is imbalanced by applying different sampling techniques available in Machine Learning.https://doi.org/10.2478/jdis-2021-0011imbalanced datasampling methodsmachine learningclassification
spellingShingle Krishnan Ulagapriya
Sangar Pushpa
A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
Journal of Data and Information Science
imbalanced data
sampling methods
machine learning
classification
title A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
title_full A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
title_fullStr A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
title_full_unstemmed A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
title_short A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data
title_sort rebalancing framework for classification of imbalanced medical appointment no show data
topic imbalanced data
sampling methods
machine learning
classification
url https://doi.org/10.2478/jdis-2021-0011
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