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.
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2021-01-01
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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. |
first_indexed | 2024-12-13T06:59:09Z |
format | Article |
id | doaj.art-789cac44196940bf8b9d9d5e244e4be5 |
institution | Directory Open Access Journal |
issn | 2543-683X |
language | English |
last_indexed | 2024-12-13T06:59:09Z |
publishDate | 2021-01-01 |
publisher | Sciendo |
record_format | Article |
series | Journal of Data and Information Science |
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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