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    Breast Cancer Diagnosis Using Data Mining Classification Techniques Using Weka

    Abstract: Breast cancer is currently posing a serious threat and is the second leading cause of death in women. A good and accurate diagnosis is important in order to control the very high recurrence rate of breast cancer. In this work, we explore the applicability of various data mining classifier to predict the presence of breast cancer. The performance of conventional supervised learning algorithms such as NaïveBayes, J4.8, SMO, IBk and …

    Published in Recent Trends in Programming languages · Vol. 4, Issue 3, 2017 · pp. 7–15 Read article

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