Analyzing and visualizing Thoracic Surgery Data Set

Recently, the need for machine learning for prediction process is increasing. Creating model for a high number of variables could produce overfitting which affects the accuracy of prediction. For that, this paper focus on analyzing the data before creating models using various statistical test betwe...

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Bibliographic Details
Main Authors:	Bashath, Samar, Ismail, Amelia Ritahani
Format:	Conference or Workshop Item
Language:	English
Published:	Universiti Malaya 2018
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://irep.iium.edu.my/65792/ http://irep.iium.edu.my/65792/2/Data%20Science%20Research%20Symposium%202018.pdf

id	iium-65792
recordtype	eprints
spelling	iium-657922018-09-04T06:44:24Z http://irep.iium.edu.my/65792/ Analyzing and visualizing Thoracic Surgery Data Set Bashath, Samar Ismail, Amelia Ritahani QA75 Electronic computers. Computer science Recently, the need for machine learning for prediction process is increasing. Creating model for a high number of variables could produce overfitting which affects the accuracy of prediction. For that, this paper focus on analyzing the data before creating models using various statistical test between variables. Universiti Malaya 2018-07-12 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/65792/2/Data%20Science%20Research%20Symposium%202018.pdf Bashath, Samar and Ismail, Amelia Ritahani (2018) Analyzing and visualizing Thoracic Surgery Data Set. In: Data Science Research Symposium, Kuala Lumpur.
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	QA75 Electronic computers. Computer science
spellingShingle	QA75 Electronic computers. Computer science Bashath, Samar Ismail, Amelia Ritahani Analyzing and visualizing Thoracic Surgery Data Set
description	Recently, the need for machine learning for prediction process is increasing. Creating model for a high number of variables could produce overfitting which affects the accuracy of prediction. For that, this paper focus on analyzing the data before creating models using various statistical test between variables.
format	Conference or Workshop Item
author	Bashath, Samar Ismail, Amelia Ritahani
author_facet	Bashath, Samar Ismail, Amelia Ritahani
author_sort	Bashath, Samar
title	Analyzing and visualizing Thoracic Surgery Data Set
title_short	Analyzing and visualizing Thoracic Surgery Data Set
title_full	Analyzing and visualizing Thoracic Surgery Data Set
title_fullStr	Analyzing and visualizing Thoracic Surgery Data Set
title_full_unstemmed	Analyzing and visualizing Thoracic Surgery Data Set
title_sort	analyzing and visualizing thoracic surgery data set
publisher	Universiti Malaya
publishDate	2018
url	http://irep.iium.edu.my/65792/ http://irep.iium.edu.my/65792/2/Data%20Science%20Research%20Symposium%202018.pdf
first_indexed	2023-09-18T21:33:20Z
last_indexed	2023-09-18T21:33:20Z
_version_	1777412656632692736

Analyzing and visualizing Thoracic Surgery Data Set

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