by Wilmer Vidal Uruchi Ticona [email protected]
The following is a description of the process of construction of a Decision Tree Model for prediction of breast cancer class. Further experimentation has been performed and documented to test some of the configuration settings provided by the KNIME component Decision Tree Learner. The breast cancer database used in this project was obtained from the University of Wisconsin Hospitals, Madison from Dr. William H. Wolberg. The project is mostly based on information from “Introduction to Data Mining” by Tan, Seteinback, and Kumar. Since this is an introductory project into the subject, some definitions are provided; however, it is advised to follow the references for detailed information.
This is a introductory and exploratory project into the practice of Data Mining.
Review 1stReport.pdf for the full report of the project. The Test folder contains the KNIME files of the experiment.
Link to Data: http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Original)
Best Regards,
Wilmer