% 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

@dataset contact-lenses

@attribute age young pre-presbyopic presbyopic
@attribute spectacle-prescrip myope hypermetrope
@attribute astigmatism no yes
@attribute tear-prod-rate reduced normal
@attribute contact-lenses soft hard none

@examples

young myope no reduced none
young myope no normal soft
young myope yes reduced none
young myope yes normal hard
young hypermetrope no reduced none
young hypermetrope no normal soft
young hypermetrope yes reduced none
young hypermetrope yes normal hard
pre-presbyopic myope no reduced none
pre-presbyopic myope no normal soft
pre-presbyopic myope yes reduced none
pre-presbyopic myope yes normal hard
pre-presbyopic hypermetrope no reduced none
pre-presbyopic hypermetrope no normal soft
pre-presbyopic hypermetrope yes reduced none
pre-presbyopic hypermetrope yes normal none
presbyopic myope no reduced none
presbyopic myope no normal none
presbyopic myope yes reduced none
presbyopic myope yes normal hard
presbyopic hypermetrope no reduced none
presbyopic hypermetrope no normal soft
presbyopic hypermetrope yes reduced none
presbyopic hypermetrope yes normal none