primary-tumor.arff

是UCI数据库中的一些有代表性的数据集

% Citation Request:
%    This primary tumor 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: Primary Tumor Domain
% 
% 2. Sources:
%      (a) Source:
%      (b) Donors: Igor Kononenko, 
%                  University E.Kardelj
%                  Faculty for electrical engineering
%                  Trzaska 25
%                  61000 Ljubljana (tel.: (38)([phone]
% 
%                  Bojan Cestnik
%                  Jozef Stefan Institute
%                  Jamova 39
%                  61000 Ljubljana
%                  Yugoslavia (tel.: (38)([phone] ext.287) 
%      (c) Date: November 1988
% 
% 3. Past Usage: (sveral)
%     1. 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: 44% accuracy
%     2. Clark,P. & Niblett,T. (1987). Induction in Noisy Domains.  In
%        I.Bratko & N.Lavrac (Eds.) Progress in Machine Learning, 11-30,
%        Sigma Press.
%        -- Simple Bayes: 48% accuracy
%        -- CN2 (95% threshold): 45%
%     3. Michalski,R., Mozetic,I. Hong,J., & Lavrac,N. (1986).  The Multi-Purpose
%        Incremental Learning System AQ15 and its Testing Applications to Three
%        Medical Domains.  In Proceedings of the Fifth National Conference on
%        Artificial Intelligence, 1041-1045. Philadelphia, PA: Morgan Kaufmann.
%        -- Experts: 42% accuracy 
%        -- AQ15: 29-41%
% 
% 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 breast-cancer and lymphography.)
% 
% 5. Number of Instances: 339
% 
% 6. Number of Attributes: 18 including the class attribute
% 
% 7. Attribute Information: (class is location of tumor)
%     --- NOTE: All attribute values in the database have been entered as
%               numeric values corresponding to their index in the list
%               of attribute values for that attribute domain as given below.
%     1. class: lung, head & neck, esophasus, thyroid, stomach, duoden & sm.int,
%               colon, rectum, anus, salivary glands, pancreas, gallblader,
%               liver, kidney, bladder, testis, prostate, ovary, corpus uteri, 
%               cervix uteri, vagina, breast
%     2. age:   <30, 30-59, >=60
%     3. sex:   male, female
%     4. histologic-type: epidermoid, adeno, anaplastic
%     5. degree-of-diffe: well, fairly, poorly
%     6. bone: yes, no
%     7. bone-marrow: yes, no
%     8. lung: yes, no
%     9. pleura: yes, no
%    10. peritoneum: yes, no
%    11. liver: yes, no
%    12. brain: yes, no
%    13. skin: yes, no
%    14. neck: yes, no
%    15. supraclavicular: yes, no
%    16. axillar: yes, no
%    17. mediastinum: yes, no
%    18. abdominal: yes, no
% 
% 8. Missing Attribute Values: (? indicates unknown value)
%     Attribute#: Number of missing values
%     1: 0
%     2: 0
%     3: 1
%     4: 67
%     5: 155
%     6: 0
%     7: 0
%     8: 0
%     9: 0
%     10: 0
%     11: 0
%     12: 0
%     13: 1
%     14: 0
%     15: 0
%     16: 1
%     17: 0
%     18: 0
% 
% 9. Class Distribution: 
%     Class Index:   Number of instances in class:
%               1:   84
%               2:   20
%               3:   9
%               4:   14
%               5:   39
%               6:   1
%               7:   14
%               8:   6
%               9:   0
%              10:   2
%              11:   28
%              12:   16
%              13:   7
%              14:   24
%              15:   2
%              16:   1
%              17:   10
%              18:   29
%              19:   6
%              20:   2
%              21:   1
%              22:   24
%
%
%
%
%
% Relabeled values in attribute age
%    From: 1                       To: '<30'               
%    From: 2                       To: '30-59'             
%    From: 3                       To: '>=60'              
%
%
% Relabeled values in attribute sex
%    From: 1                       To: male                
%    From: 2                       To: female              
%
%
% Relabeled values in attribute histologic-type
%    From: 1                       To: epidermoid          
%    From: 2                       To: adeno               
%    From: 3                       To: anaplastic          
%
%
% Relabeled values in attribute degree-of-diffe
%    From: 1                       To: well                
%    From: 2                       To: fairly              
%    From: 3                       To: poorly              
%
%
% Relabeled values in attribute bone
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute bone-marrow
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute lung
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute pleura
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute peritoneum
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute liver
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute brain
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute skin
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute neck
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute supraclavicular
%    From: 1                       To: yes                 
%    From: 2                       To: no                  
%
%
% Relabeled values in attribute axillar