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Classification of Breast Cancer Cells Using JMP®

Classification of Breast Cancer Cells Using JMP

The Wisconsin Breast Cancer Diagnostic Data Set is a set of data used to classify breast lumps as malignant or benign based on the values of 30 potential predictors, obtained by measuring the nuclei of fluid removed using a fine needle aspirate.  This paper demonstrates how one might best visualize this data and then how to fit four classification models using logistic modeling, recursive partitioning and neural nets. 

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