In this section we will use GEP to model three real-world problems, namely, the diagnosis of breast cancer, the assignment of a credit card, and the classification of Fisher痴 irises. The first two data sets were obtained from PROBEN1 ? a set of neural network benchmark problems and benchmarking rules (Prechelt
1994). Both the technical report and the data sets are available through anonymous FTP from the Neural Bench archive at Carnegie Mellon University (machine
ftp.cs.cmu.edu, directory /afs/cs/project/connect/bench/contrib/prechelt) and from the machine
ftp.ira.uka.de in directory /pub/neuron. The file name in both cases is
proben1.tar.gz. The last dataset, the iris dataset (Fisher
1936), is perhaps the most famous dataset used in data mining and is also freely available online.