INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Breast cancer is the only type of cancer that affects women worldwide, and it may be a common cause of death. This paper's main goal is to develop a model for predicting breast cancer using several machine learning techniques, classification algorithms like Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Naive Bayes Gaussian (NB), On the other side, The purpose of this research is to estimate the likelihood that a patient will experience a recurrence of breast cancer. To improve the predictive performance of the Random Forest and Deep Neural Network classifiers, the researchers used them separately. Decision Tree (CART), Support Vector Machine (SVM), and Naïve Bayes for numerical datasets whose features are obtained from digitized images of breast mass, this paper study aims to improve accuracy in cancer database analysis and forecasting.
Keywords:
Breast Cancer, Machine Learning, Classification, Accuracy Precision, Random Forest, Decision Tree, Logistic regression
Cite Article:
"BREAST CANCER PREDICTION USING MACHINE LEARNING", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.b331-b340, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404142.pdf
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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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