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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)
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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 12 | Issue 7 | Month- July 2024
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Published Paper Details:
Paper Title
BREAST CANCER PREDICTION USING MACHINE LEARNING
Authors
Gunjan dharsandiya, Shubh gohil, Mrs. Ancy Almeida
Keywords
SVM, KNN, LR, Decision tree algorithm, efficiency, mining.
Abstract
One of the most dreadful disease is breast cancer and it has a potential cause for death in women. Every year, death rate increases drastically due to breast cancer. An effective way to classify data is through classification or data mining. This becomes very handy, especially in the medical field where diagnosis and analysis are done through these techniques. Wisconsin Breast cancer dataset is used to perform a comparison between SVM, Logistic Regression, KNN and Decision tree algorithm. Evaluating the correctness in classifying data based on accuracy and time consumption is used to determine the efficiency of the algorithms, which is the main objective. Based on the result of performed experiments, the support vector machine shows the highest accuracy (96.6%) with the least error rate. ANACONDA Data Science Platform is used to execute all the experiments in a simulated environment.
IJCRT's Publication Details
Unique Identification Number - IJCRT2105861
Paper ID - 207520
Page Number(s) - i126-i129
Pubished in - Volume 9 | Issue 5 | May 2021
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Gunjan dharsandiya, Shubh gohil, Mrs. Ancy Almeida, "BREAST CANCER PREDICTION USING MACHINE LEARNING", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.i126-i129, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105861.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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