- Reads training instances from file specified
- Uses '{}' as null set for starting, most specific hypothesis
- Iterates over training set to find target concept
- Displays, in output file, how hypothesis changes as training set instances are processed
- Also writes how many additional training instances, compared to the example set, were needed to learn target concept
- Run 'make'
- Run 'make run' to run: './find_s_algorithm training_set.txt'