• RUPPA PRASANNA KUMARI
• Dr.A. M. SOWJANYA

Machine learning methods are an effective way to predict and analyze cancer data. Techniques like classification and clustering are used for this purpose. We have analyzed wisconsic diagnostic breast cancer dataset and developed a model to predict weather the cancer is malignant or begin. Preprocessing, Outlier Analysis, and Dimensionality reduction have been streamed upon before using classification. The results indicate that ensemble classifiers give high accuracy than compare to other classifiers.

Machine learning methods are an effective way to predict and analyze cancer data.We have analyzed wisconsic diagnostic breast cancer dataset and developed a model to predict weather the cancer is malignant or begin.

"Breast cancer prediction using ensemble data mining methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.238-241, June 2019, Available :http://www.jetir.org/papers/JETIR1907789.pdf

"Breast cancer prediction using ensemble data mining methods", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp238-241, June 2019, Available at : http://www.jetir.org/papers/JETIR1907789.pdf