A very good repository of data that have been used to test the performance of neural network and other machine-learning algorithms can be accessed at https://archive.ics.uci.edu/ml/index.php. Some of the data sets are really meant to test the limits of current machine-learning algorithms and compare their performance against new approaches to learning. However, some of the smaller data sets can be useful for exploring the functionality of the software you might download in Internet Exercise 1 or the software that is available at StatSoft.com (i.e., Statistica Data Miner with extensive neural network capabilities). Download at least one data set from the UCI repository (e.g., Credit Screening Databases, Housing Database). Then apply neural networks as well as decision tree methods as appropriate. Prepare a report on your results.

Data From in exercise 1

Explore the Web sites of several neural network vendors, such as California Scientific Software (calsci.com), NeuralWare (neuralware.com), and Ward Systems Group (wardsystems.comv), and review some of their products. Download at least two demos and install, run, and compare them.