Read the code of the Prism classifier in Weka in great detail. You can find a description of this algorithm in Section 4.4 (and variations of this algorithm in Section 6.2.) of "Data Mining: Practical Machine Learning Tools and Techniques with Java Implementations". I. Witten and E. Frank. Morgan Kaufmann Publishers. (Available on reserve at the WPI Gordon Library.)
Your report should contain the following sections with the corresponding discussions:
Provide a detail description of the preprocessing of your data. Justify the preprocessing you apply and why the resulting data is the appropriate one for mining neural networks from it.
Please submit the following files by email to ruiz@cs.wpi.edu by the deadline specified below. Submissions received on Monday April 14, between 10:01 am and 10:45 am will be penalized with 30% off the grade and submissions after 10:45 am won't be accepted.