Paper Title
Analysis of Breast Cancer Using Machine Learning
Article Identifiers
Authors
Hasti Pareshbhai Patel , Vedantvaibhav Thakur , Pradeep C Garg
Keywords
breast cancer prognosis, supervised machine learning classifier.
Abstract
Breast Cancer is the most important cause of death among women. In this paper, nine machine learning classification algorithms, namely Logistic Regression (LR), K-Nearest Neighbours(KNN), J48, IBK, Multi-Layer Perception, Decision Tree (DT), Support Vector Machine (SVM), Naive Bayes (NB), and Random Forest (RF) are implemented in order to evaluate the performance and the prediction power of the model. The main target of this work is to compare these algorithm performances using the Wisconsin Breast Cancer (original) dataset. The number of performance metrics such as accuracy, precision, recall, and f-1 score are taken.
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How To Cite
"Analysis of Breast Cancer Using Machine Learning", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.c886-c893, August-2024, Available :https://ijnrd.org/papers/IJNRD2408299.pdf
Issue
Volume 9 Issue 8, August-2024
Pages : c886-c893
Other Publication Details
Paper Reg. ID: IJNRD_226885
Published Paper Id: IJNRD2408299
Downloads: 000121118
Research Area: Computer Science & TechnologyÂ
Country: Vadodara, Gujarat, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2408299.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408299
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition


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