Breast Cancer Wisconsin (Diagnostic) Prediction
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Student Project | Statistics | India | Volume 11 Issue 5, May 2022 | Popularity: 5.4 / 10


     

Breast Cancer Wisconsin (Diagnostic) Prediction

Prithwish Ghosh


Abstract: Breast cancer continues to remain the most lethal malignancy in women across the world. In 2008, approximately 1.4 million women were diagnosed with breast cancer worldwide with corresponding 460000 deaths. Here we use a machine learning tool xgboost to diagnose patients and then we split the data to classify them into categories. Here we use xgboost because its time efficient and gives more precise results rather than many other Machine Learning algorithms.


Keywords: Xgboost, Machine Learning, malignancy


Edition: Volume 11 Issue 5, May 2022


Pages: 178 - 185


DOI: https://www.doi.org/10.21275/SR22501213650


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Prithwish Ghosh, "Breast Cancer Wisconsin (Diagnostic) Prediction", International Journal of Science and Research (IJSR), Volume 11 Issue 5, May 2022, pp. 178-185, https://www.ijsr.net/getabstract.php?paperid=SR22501213650, DOI: https://www.doi.org/10.21275/SR22501213650

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