July 2017
Intermediate to advanced
796 pages
18h 55m
English
Here, we have used simpler datasets that are structured and manually curated for machine learning application development, and, of course, many of them show good classification accuracy. The Wisconsin Breast Cancer Dataset from the UCI machine learning repository (https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original), contains data that was donated by researchers at the University of Wisconsin and includes measurements from digitized images of fine-needle aspirations of breast masses. The values represent characteristics of the cell nuclei present in the digital images described in the following subsection:
0. Sample code number id number1. Clump Thickness 1 - 102. Uniformity of Cell Size 1 - 103. Uniformity ...
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