| 1. Title: Database for fitting contact lenses | | 2. Sources: | (a) Cendrowska, J. "PRISM: An algorithm for inducing modular rules", | International Journal of Man-Machine Studies, 1987, 27, 349-370 | (b) Donor: Benoit Julien (Julien@ce.cmu.edu) | (c) Date: 1 August 1990 | | 3. Past Usage: | 1. See above. | 2. Witten, I. H. & MacDonald, B. A. (1988). Using concept | learning for knowledge acquisition. International Journal of | Man-Machine Studies, 27, (pp. 349-370). | | Notes: This database is complete (all possible combinations of | attribute-value pairs are represented). | | Each instance is complete and correct. | | 9 rules cover the training set. | | 4. Relevant Information Paragraph: | The examples are complete and noise free. | The examples highly simplified the problem. The attributes do not | fully describe all the factors affecting the decision as to which type, | if any, to fit. | | 5. Number of Instances: 24 | | 6. Number of Attributes: 4 (all nominal) | | 7. Attribute Information: | -- 3 Classes | 1 : the patient should be fitted with hard contact lenses, | 2 : the patient should be fitted with soft contact lenses, | 1 : the patient should not be fitted with contact lenses. | | 1. age of the patient: (1) young, (2) pre-presbyopic, (3) presbyopic | 2. spectacle prescription: (1) myope, (2) hypermetrope | 3. astigmatic: (1) no, (2) yes | 4. tear production rate: (1) reduced, (2) normal | | 8. Number of Missing Attribute Values: 0 | | 9. Class Distribution: | 1. hard contact lenses: 4 | 2. soft contact lenses: 5 | 3. no contact lenses: 15 hard contanct lenses, soft contact lenses, no contact lenses. age of patient: young, pre-presbyopic, presbyopic. spectacle prescription: myope, hypermetrope. astigmatic: no, yes. tear production rate: reduced, normal.