86 lines
2.8 KiB
Plaintext
86 lines
2.8 KiB
Plaintext
% 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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%
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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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%
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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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%
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% Each instance is complete and correct.
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%
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% 9 rules cover the training set.
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%
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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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%
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% 5. Number of Instances: 24
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%
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% 6. Number of Attributes: 4 (all nominal)
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%
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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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% 1 : the patient should not be fitted with contact lenses.
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%
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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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%
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% 8. Number of Missing Attribute Values: 0
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%
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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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@relation contact-lenses
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@attribute age {young, pre-presbyopic, presbyopic}
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@attribute spectacle-prescrip {myope, hypermetrope}
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@attribute astigmatism {no, yes}
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@attribute tear-prod-rate {reduced, normal}
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@attribute contact-lenses {soft, hard, none}
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@data
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%
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% 24 instances
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%
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young,myope,no,reduced,none
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young,myope,no,normal,soft
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young,myope,yes,reduced,none
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young,myope,yes,normal,hard
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young,hypermetrope,no,reduced,none
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young,hypermetrope,no,normal,soft
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young,hypermetrope,yes,reduced,none
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young,hypermetrope,yes,normal,hard
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pre-presbyopic,myope,no,reduced,none
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pre-presbyopic,myope,no,normal,soft
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pre-presbyopic,myope,yes,reduced,none
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pre-presbyopic,myope,yes,normal,hard
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pre-presbyopic,hypermetrope,no,reduced,none
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pre-presbyopic,hypermetrope,no,normal,soft
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pre-presbyopic,hypermetrope,yes,reduced,none
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pre-presbyopic,hypermetrope,yes,normal,none
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presbyopic,myope,no,reduced,none
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presbyopic,myope,no,normal,none
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presbyopic,myope,yes,reduced,none
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presbyopic,myope,yes,normal,hard
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presbyopic,hypermetrope,no,reduced,none
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presbyopic,hypermetrope,no,normal,soft
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presbyopic,hypermetrope,yes,reduced,none
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presbyopic,hypermetrope,yes,normal,none
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