UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2011009


Registration ID:
303065

Page Number

51-56

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Title

Breast Cancer Prediction Using Machine Learning Techniques

Abstract

There are many types of cancers that need our attention and a lot of human time spent in researching for their cure by analyzing a lot of symptoms. Many patients with similar health problems receive different kinds of treatment and eventually different extents of cure. Breast Cancer is one of the most exquisite and internecine disease among all of the diseases in medical science. It’s mainly effective for women. It is one of the crucial reasons of death among the females all over the world. Various supervised machine learning techniques such as Logistic Regression,Decision tree Classifier,Random Forest ,K-NN,Support Vector Machine has been used for classification of data .The very famous data set such as Wisconsin breast cancer diagnosis (WBCD) data set has been used for classification of data. The experimental result shows that the Random Forest classifier gives the highest accuracy of 96.50% among the other classifier. The aim is for early detection of cancer because the early detection of cancer can be helpful to remove the cancer completely.

Key Words

Machine Learning, Classification, Decision tree Classifier, K-Nearest Neighbor, Logistic Regression, Random Forest,Support Vector Machine,accuracy etc.

Cite This Article

"Breast Cancer Prediction Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.51-56, November-2020, Available :http://www.jetir.org/papers/JETIR2011009.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Breast Cancer Prediction Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp51-56, November-2020, Available at : http://www.jetir.org/papers/JETIR2011009.pdf

Publication Details

Published Paper ID: JETIR2011009
Registration ID: 303065
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 51-56
Country: BICHOLIM, Goa, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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