Subject: part 001 of README (/pub/mooney/ml-progs@cs.utexas.edu) [-] (ascii,
 last)

This directory contains files for various standard inductive learning
algorithms that all use the same basic data format and same interface.  It also
includes automatic testing software for running learning curves that compare
multiple systems and utilities for plotting and statistically evaluating the
results. Comments at the begining of UNIVERSAL-TESTER help define
the data format and interface standards used.  Commenting elsewhere can be
sparse.  An example of a data set is in ml-code/soybean-data.

Raymond J. Mooney
Assistant Professor
Department of Computer Sciences
University of Texas at Austin