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