%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Tumor-size treated as the class attribute.
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Citation Request:
%    This breast cancer domain was obtained from the University Medical Centre,
%    Institute of Oncology, Ljubljana, Yugoslavia.  Thanks go to M. Zwitter and 
%    M. Soklic for providing the data.  Please include this citation if you plan
%    to use this database.
% 
% 1. Title: Breast cancer data (Michalski has used this)
% 
% 2. Sources: 
%    -- Matjaz Zwitter & Milan Soklic (physicians)
%       Institute of Oncology 
%       University Medical Center
%       Ljubljana, Yugoslavia
%    -- Donors: Ming Tan and Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
%    -- Date: 11 July 1988
% 
% 3. Past Usage: (Several: here are some)
%      -- Michalski,R.S., Mozetic,I., Hong,J., & Lavrac,N. (1986). The 
%         Multi-Purpose Incremental Learning System AQ15 and its Testing 
%         Application to Three Medical Domains.  In Proceedings of the 
%         Fifth National Conference on Artificial Intelligence, 1041-1045,
%         Philadelphia, PA: Morgan Kaufmann.
%         -- accuracy range: 66%-72%
%      -- Clark,P. & Niblett,T. (1987). Induction in Noisy Domains.  In 
%         Progress in Machine Learning (from the Proceedings of the 2nd
%         European Working Session on Learning), 11-30, Bled, 
%         Yugoslavia: Sigma Press.
%         -- 8 test results given: 65%-72% accuracy range
%      -- Tan, M., & Eshelman, L. (1988). Using weighted networks to 
%         represent classification knowledge in noisy domains.  Proceedings 
%         of the Fifth International Conference on Machine Learning, 121-134,
%         Ann Arbor, MI.
%         -- 4 systems tested: accuracy range was 68%-73.5%
%     -- Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A
%        Knowledge-Elicitation Tool for Sophisticated Users.  In I.Bratko
%        & N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.
%        -- Assistant-86: 78% accuracy
% 
% 4. Relevant Information:
%      This is one of three domains provided by the Oncology Institute
%      that has repeatedly appeared in the machine learning literature.
%      (See also lymphography and primary-tumor.)
% 
%      This data set includes 201 instances of one class and 85 instances of
%      another class.  The instances are described by 9 attributes, some of
%      which are linear and some are nominal.
% 
% 5. Number of Instances: 286
% 
% 6. Number of Attributes: 9 + the class attribute
% 
% 7. Attribute Information:
%    1. Class: no-recurrence-events, recurrence-events
%    2. age: 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, 90-99.
%    3. menopause: lt40, ge40, premeno.
%    4. tumor-size: 0-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44,
%                   45-49, 50-54, 55-59.
%    5. inv-nodes: 0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18-20, 21-23, 24-26,
%                  27-29, 30-32, 33-35, 36-39.
%    6. node-caps: yes, no.
%    7. deg-malig: 1, 2, 3.
%    8. breast: left, right.
%    9. breast-quad: left-up, left-low, right-up, right-low, central.
%   10. irradiat: yes, no.
% 
% 8. Missing Attribute Values: (denoted by "?")
%    Attribute #:  Number of instances with missing values:
%    6.             8
%    9.             1.
% 
% 9. Class Distribution:
%     1. no-recurrence-events: 201 instances
%     2. recurrence-events: 85 instances
% 

@relation 'breastTumor'
@attribute 'age' real
@attribute 'menopause' { premenopausal, >=40, <40}
@attribute 'inv-nodes' { 0, 2, 3, 1, 7, 10, 16, 5, 8, 6, 4, 25, 9, 17, 15, 13, 14, 11}
@attribute 'node-caps' { no, yes}
@attribute 'deg-malig' { 1, 3, 2}
@attribute 'breast' { right, left}
@attribute 'breast-quad' { left-lower, right-lower, left-upper, right-upper, central}
@attribute 'irradiation' { no, yes}
@attribute 'recurrence' { n, r}
@attribute 'class' real
@data
36,premenopausal,0,no,1,right,left-lower,no,n,10
39,premenopausal,0,no,3,left,left-lower,no,n,30
41,premenopausal,0,no,1,right,right-lower,no,n,25
40,premenopausal,0,no,2,left,left-lower,no,n,20
51,>=40,0,no,2,right,left-upper,no,n,25
65,>=40,0,no,2,left,left-lower,no,n,17
60,>=40,0,no,2,left,left-lower,no,n,50
34,premenopausal,0,no,2,left,right-lower,no,n,20
30,premenopausal,2,no,3,left,left-lower,no,r,35
58,>=40,0,no,2,right,left-lower,no,n,15
62,>=40,0,no,3,right,left-upper,no,n,25
46,premenopausal,3,yes,2,right,left-lower,no,n,30
53,premenopausal,0,no,2,left,left-lower,no,r,15
52,premenopausal,0,no,3,left,right-upper,no,r,30
46,premenopausal,0,no,1,right,left-upper,no,n,30
48,premenopausal,0,no,3,left,central,no,n,0
54,>=40,0,no,2,right,left-lower,no,n,12
37,premenopausal,1,no,1,left,left-lower,no,n,15
51,premenopausal,0,no,1,right,left-upper,no,r,25
62,>=40,7,yes,3,left,central,no,n,45
60,>=40,0,no,2,left,left-upper,no,n,30
52,>=40,1,no,2,left,left-upper,no,n,35
62,>=40,2,yes,2,right,right-upper,yes,r,30
35,premenopausal,3,no,3,right,right-upper,yes,n,40
52,premenopausal,0,no,3,left,left-lower,no,n,30
50,premenopausal,0,no,2,right,right-lower,no,n,16
36,premenopausal,1,no,1,right,left-upper,no,r,30
37,premenopausal,0,no,2,right,right-upper,no,n,40
31,premenopausal,0,no,1,right,left-lower,no,r,15
54,premenopausal,0,no,2,right,left-upper,no,n,35
64,>=40,0,no,1,right,left-upper,no,n,30
48,premenopausal,1,no,2,left,right-lower,no,n,30
45,premenopausal,0,no,1,left,right-lower,no,n,20
45,>=40,3,no,3,left,left-lower,no,r,30
50,premenopausal,3,yes,2,left,left-lower,yes,n,25
50,premenopausal,0,no,2,left,left-upper,no,n,40
41,premenopausal,0,no,2,right,left-upper,no,n,20
45,premenopausal,0,no,2,right,right-lower,no,n,30
39,premenopausal,7,yes,2,right,right-upper,no,n,30
45,premenopausal,0,no,2,right,left-lower,no,n,25
60,>=40,0,no,1,left,left-lower,no,n,20
35,premenopausal,10,no,2,right,left-upper,yes,r,30
41,premenopausal,0,no,2,left,left-upper,no,n,10
33,premenopausal,2,no,3,left,central,no,n,20
55,>=40,1,yes,2,right,left-upper,no,n,20
33,premenopausal,1,no,2,left,right-lower,no,n,11
50,>=40,1,yes,2,left,central,yes,n,15
70,>=40,0,no,3,left,left-upper,no,n,20
48,>=40,1,no,2,left,left-lower,no,n,25
58,>=40,0,no,3,left,left-upper,no,n,40
69,>=40,1,no,3,right,left-upper,yes,r,30
54,>=40,16,no,3,left,left-lower,no,n,35
47,premenopausal,0,no,1,right,left-upper,no,r,35
65,>=40,0,no,2,left,left-lower,no,n,30
74,>=40,0,no,2,left,central,no,n,10
63,>=40,5,?,1,right,left-lower,yes,n,28
66,>=40,3,yes,2,left,central,yes,r,30
46,premenopausal,2,no,2,right,left-upper,no,n,10
59,>=40,0,no,1,right,right-upper,no,n,30
54,>=40,0,no,1,left,left-upper,no,n,10
56,>=40,8,no,3,left,left-lower,yes,r,25
35,premenopausal,3,no,3,right,left-upper,yes,r,30
54,>=40,0,no,2,right,right-upper,no,n,15
43,premenopausal,0,no,1,right,left-upper,no,n,12
52,>=40,0,no,2,left,left-lower,no,n,40
47,premenopausal,0,no,2,left,central,no,n,20
49,premenopausal,0,no,2,left,left-upper,no,n,20
52,>=40,3,yes,2,right,left-upper,no,n,20
68,>=40,0,no,1,left,central,no,n,8
57,>=40,0,no,2,left,left-lower,no,n,10
47,>=40,0,no,3,left,left-upper,no,n,20
65,>=40,7,yes,2,right,right-upper,no,n,30
47,premenopausal,0,no,3,left,left-upper,no,n,30
63,>=40,0,no,2,right,left-lower,no,n,25
54,>=40,0,no,1,left,left-lower,no,n,0
46,premenopausal,2,no,3,right,left-upper,yes,n,27
47,premenopausal,5,no,2,right,left-upper,no,r,30
64,>=40,1,no,3,left,left-upper,no,r,25
54,>=40,0,no,1,right,left-lower,no,n,30
53,premenopausal,0,no,2,right,right-lower,no,n,25
49,>=40,0,no,3,left,left-lower,no,n,20
39,premenopausal,3,no,2,right,central,no,n,20
57,>=40,10,?,3,left,left-lower,yes,n,30
45,premenopausal,2,yes,3,right,left-lower,yes,n,35
54,premenopausal,3,yes,3,left,left-lower,yes,r,25
52,>=40,6,yes,3,left,left-lower,yes,r,40
62,<40,0,no,1,left,left-lower,no,n,30
52,>=40,0,no,3,left,left-upper,no,n,20
48,premenopausal,1,no,2,left,left-lower,yes,n,45
51,premenopausal,0,no,1,left,left-lower,no,n,15
49,>=40,16,yes,2,right,left-upper,yes,n,40
52,premenopausal,0,no,1,right,left-upper,no,n,25
53,<40,1,?,1,left,left-lower,no,r,20
36,premenopausal,0,no,2,left,right-lower,no,n,8
50,premenopausal,4,no,1,right,left-upper,no,n,10
43,premenopausal,0,no,1,right,right-lower,no,n,10
50,>=40,0,no,2,right,right-upper,no,n,8
46,premenopausal,0,no,2,left,left-upper,no,n,25
48,premenopausal,0,no,3,right,right-upper,no,n,30
63,>=40,1,no,1,right,left-upper,no,r,20
73,>=40,0,no,1,left,right-lower,no,n,0
52,>=40,0,no,3,right,left-upper,no,n,20
48,premenopausal,5,no,2,right,left-upper,no,n,20
57,premenopausal,8,yes,2,left,right-lower,yes,r,30
42,premenopausal,0,no,1,right,left-lower,no,n,20
49,premenopausal,0,no,1,right,right-upper,no,n,20
51,premenopausal,2,yes,2,right,left-upper,yes,n,50
37,premenopausal,2,no,3,left,left-upper,yes,r,20
66,>=40,1,no,3,right,left-lower,no,r,22
66,>=40,0,no,1,left,left-upper,no,n,10
67,<40,0,no,1,left,right-upper,no,n,10
52,>=40,7,yes,3,left,right-lower,no,r,30
51,>=40,0,no,3,left,right-upper,no,n,25
61,>=40,0,no,1,left,left-lower,no,n,20
55,>=40,0,no,1,right,central,no,n,15
53,>=40,4,no,3,right,left-upper,no,r,30
54,>=40,0,no,2,right,left-upper,no,n,23
53,premenopausal,1,no,3,right,left-lower,yes,r,25
46,>=40,0,no,2,right,left-upper,no,r,20
68,>=40,0,no,1,left,right-lower,no,n,15
61,>=40,0,no,1,left,left-lower,no,n,10
43,premenopausal,2,no,2,right,left-lower,no,r,25
60,>=40,6,yes,3,left,left-lower,no,r,35
65,>=40,25,yes,3,left,left-lower,yes,r,20
46,premenopausal,9,yes,3,right,left-upper,no,r,25
39,premenopausal,0,no,2,right,left-lower,no,n,25
41,premenopausal,0,no,2,right,right-upper,no,n,20
52,premenopausal,0,no,2,left,right-upper,no,r,25
43,premenopausal,1,no,3,left,left-upper,no,r,28
47,premenopausal,0,no,3,right,right-upper,no,r,30
57,>=40,0,no,1,right,left-upper,no,n,10
46,premenopausal,0,no,2,left,left-lower,no,n,50
31,premenopausal,0,no,2,right,central,no,r,0
54,premenopausal,2,yes,2,left,left-upper,no,n,25
65,>=40,0,no,1,right,left-upper,no,n,15
44,premenopausal,17,yes,3,left,left-lower,no,r,15
44,premenopausal,0,no,2,left,right-lower,no,n,20
51,premenopausal,1,no,2,right,left-upper,no,n,12
63,>=40,0,no,2,right,left-upper,no,n,15
58,>=40,4,yes,3,right,right-upper,no,r,24
54,premenopausal,0,no,1,left,left-lower,no,n,10
55,>=40,1,no,1,left,right-lower,no,n,25
43,premenopausal,2,no,2,left,left-lower,yes,r,25
54,premenopausal,15,yes,3,right,right-upper,no,r,35
70,>=40,0,no,1,right,left-upper,no,n,40
55,>=40,0,no,1,right,central,no,n,0
36,premenopausal,9,yes,3,left,left-lower,no,r,35
59,>=40,0,no,1,left,left-upper,no,n,30
65,>=40,0,no,2,right,left-upper,no,n,15
32,premenopausal,2,no,3,left,left-lower,no,r,35
66,>=40,3,no,2,left,left-lower,yes,r,20
38,premenopausal,8,yes,3,left,left-lower,yes,r,18
51,premenopausal,0,no,2,right,left-lower,no,n,15
40,premenopausal,0,no,1,left,right-lower,no,n,25
58,>=40,0,no,2,right,central,no,r,20
54,>=40,0,no,1,right,left-lower,no,n,23
52,>=40,0,no,3,right,left-upper,no,n,40
33,<40,2,no,3,right,left-upper,no,n,15
32,premenopausal,3,yes,3,left,left-lower,yes,r,25
57,>=40,10,?,3,left,left-upper,yes,n,30
68,>=40,2,no,2,left,left-lower,no,n,12
40,premenopausal,0,no,1,right,left-upper,no,n,40
46,premenopausal,10,yes,2,right,right-upper,yes,n,35
62,>=40,0,no,2,right,left-lower,no,n,18
41,premenopausal,13,no,3,right,right-lower,yes,n,15
65,>=40,0,no,2,right,left-lower,no,r,40
60,>=40,1,no,1,right,right-upper,yes,r,45
59,>=40,3,yes,2,left,left-lower,no,n,40
65,>=40,1,no,2,left,left-upper,yes,n,15
40,premenopausal,1,?,2,left,right-lower,yes,n,25
41,premenopausal,0,no,3,left,right-upper,no,r,25
51,premenopausal,1,no,3,right,left-upper,yes,r,30
47,premenopausal,0,no,2,right,left-upper,no,n,25
65,>=40,2,no,3,right,left-lower,no,n,25
63,>=40,0,no,2,right,left-upper,no,n,22
64,>=40,0,no,3,right,central,no,r,30
53,>=40,0,no,3,left,left-upper,no,n,20
46,premenopausal,0,no,2,right,central,no,n,25
43,premenopausal,1,no,1,right,left-lower,yes,n,25
43,premenopausal,8,no,2,right,left-lower,yes,n,20
59,>=40,0,no,3,left,?,no,r,30
49,>=40,3,no,3,right,left-lower,yes,r,20
47,premenopausal,2,yes,3,right,left-upper,no,r,15
45,premenopausal,0,no,2,left,left-lower,no,r,22
43,premenopausal,2,no,2,right,left-lower,yes,r,50
47,premenopausal,0,no,2,right,left-upper,no,n,20
67,>=40,2,no,2,right,left-upper,yes,n,50
45,premenopausal,2,yes,3,right,left-upper,yes,n,35
46,premenopausal,8,no,2,left,left-upper,no,n,30
55,<40,0,no,2,left,left-lower,no,n,15
70,>=40,0,no,1,right,right-upper,no,n,40
43,premenopausal,0,no,2,right,right-lower,no,n,0
53,>=40,0,no,3,left,left-upper,no,n,35
56,>=40,0,no,2,left,central,no,n,0
47,premenopausal,0,no,1,left,right-upper,no,n,30
47,>=40,1,no,2,left,left-upper,yes,n,30
44,premenopausal,0,no,2,left,left-lower,no,n,10
44,premenopausal,2,no,3,right,left-lower,yes,n,20
47,premenopausal,0,no,2,right,left-lower,no,n,10
31,premenopausal,5,yes,2,left,left-lower,no,r,20
49,>=40,14,yes,3,left,right-lower,yes,r,25
51,>=40,0,no,2,left,left-lower,no,n,25
57,>=40,0,no,1,left,left-lower,no,n,27
48,premenopausal,5,no,2,right,left-lower,no,n,20
57,>=40,0,no,2,left,left-lower,no,r,35
36,premenopausal,0,no,2,left,left-upper,no,n,30
36,premenopausal,7,yes,2,right,left-upper,yes,n,25
47,premenopausal,0,no,2,left,left-lower,no,n,15
49,premenopausal,4,yes,2,right,right-upper,yes,r,20
49,premenopausal,13,yes,3,left,left-upper,yes,r,30
52,premenopausal,1,no,1,left,central,no,n,30
40,premenopausal,6,yes,3,right,left-upper,no,r,30
63,>=40,0,no,1,left,left-upper,no,n,30
56,>=40,2,no,1,right,central,no,n,30
50,premenopausal,0,no,1,left,left-lower,no,n,20
54,>=40,0,no,1,right,central,no,n,15
38,premenopausal,0,no,1,left,left-lower,no,n,15
63,>=40,1,no,3,right,left-upper,no,r,50
54,>=40,1,no,3,left,right-upper,no,n,40
70,>=40,11,?,1,left,left-lower,yes,r,15
41,premenopausal,0,no,2,right,left-lower,no,n,40
45,premenopausal,0,no,2,right,right-upper,no,n,35
50,<40,2,no,3,right,left-upper,no,n,30
47,premenopausal,0,no,1,left,left-lower,no,r,40
42,premenopausal,2,yes,3,right,right-upper,no,r,30
40,premenopausal,1,no,2,left,left-upper,yes,n,25
47,premenopausal,0,no,1,right,left-upper,no,n,10
55,premenopausal,5,no,2,right,left-upper,yes,n,25
51,premenopausal,11,yes,2,right,left-upper,no,r,50
43,premenopausal,2,no,2,right,left-lower,no,r,25
55,>=40,17,yes,3,right,left-upper,no,n,25
44,premenopausal,1,no,1,left,left-lower,yes,r,32
63,>=40,5,yes,3,left,left-lower,no,n,30
44,premenopausal,0,no,2,left,left-upper,no,r,15
34,premenopausal,0,no,1,left,central,no,n,25
46,premenopausal,3,yes,2,left,right-upper,no,r,30
45,premenopausal,2,no,1,left,left-lower,yes,n,8
35,premenopausal,3,yes,2,right,left-upper,yes,n,20
51,premenopausal,3,yes,2,left,left-lower,yes,n,30
61,>=40,1,no,3,right,left-upper,yes,n,18
36,premenopausal,1,no,1,left,left-upper,no,r,40
53,premenopausal,0,no,2,left,left-lower,no,n,25
45,premenopausal,2,no,1,left,left-lower,no,n,35
43,premenopausal,4,yes,2,left,left-lower,yes,r,20
66,>=40,0,no,1,right,left-lower,no,n,10
55,premenopausal,0,no,3,left,left-lower,no,n,10
57,>=40,0,no,2,left,left-upper,no,r,20
46,premenopausal,10,yes,2,right,left-upper,yes,n,35
63,>=40,5,?,1,right,left-upper,yes,n,28
60,>=40,2,no,3,left,right-lower,yes,r,28
38,premenopausal,1,no,2,left,left-lower,yes,n,40
50,premenopausal,0,no,2,left,left-lower,no,n,25
59,>=40,7,yes,2,left,left-lower,no,n,30
62,>=40,0,no,2,left,left-upper,no,n,20
35,premenopausal,2,no,2,left,left-upper,no,r,30
61,>=40,1,no,2,right,left-upper,yes,n,10
45,premenopausal,5,yes,3,right,left-upper,yes,n,40
55,premenopausal,0,no,1,left,left-lower,no,n,25
68,>=40,5,yes,3,right,left-lower,no,r,40
52,>=40,5,yes,3,right,left-upper,no,n,25
62,>=40,0,no,2,left,left-lower,no,n,15
57,>=40,0,no,3,right,left-lower,no,n,30
59,>=40,0,no,1,right,right-upper,no,n,50
32,premenopausal,0,no,2,right,central,no,n,0
41,premenopausal,0,no,1,left,left-lower,no,n,30
51,>=40,0,no,3,left,left-lower,no,n,35
52,>=40,6,yes,3,left,left-lower,yes,r,40
41,premenopausal,1,no,2,left,left-lower,yes,n,10
63,>=40,1,no,2,left,left-lower,yes,n,30
51,premenopausal,0,no,2,left,right-upper,no,r,25
62,>=40,3,no,2,right,left-upper,yes,n,40
51,premenopausal,3,yes,2,left,left-lower,no,n,20
36,premenopausal,0,no,2,left,left-lower,no,n,25
49,premenopausal,15,yes,3,left,left-lower,no,r,30
37,premenopausal,6,yes,3,left,right-lower,yes,r,25
53,<40,1,?,1,left,left-upper,no,r,20
63,>=40,1,no,1,left,left-upper,no,n,10
48,premenopausal,1,no,2,right,right-upper,yes,n,30
54,>=40,0,no,1,left,left-lower,no,n,12
67,>=40,0,no,2,left,left-lower,no,n,25
65,>=40,4,no,2,right,right-upper,no,r,25
57,>=40,11,yes,3,left,right-lower,yes,r,30
62,>=40,0,no,3,left,left-lower,no,n,30
63,>=40,6,yes,3,left,left-upper,yes,r,13
29,premenopausal,0,no,2,right,right-upper,no,n,35
56,>=40,5,no,3,left,left-lower,no,r,30