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📄 hepatitis.arff

📁 是UCI数据库中的一些有代表性的数据集
💻 ARFF
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% 1. Title: Hepatitis Domain% % 2. Sources:%      (a) unknown%      (b) Donor: G.Gong  (Carnegie-Mellon University) via %                    Bojan Cestnik%                    Jozef Stefan Institute%                    Jamova 39%                    61000 Ljubljana%                    Yugoslavia (tel.: (38)(+61) 214-399 ext.287) }%      (c) Date: November, 1988% % 3. Past Usage:%     1. Diaconis,P. & Efron,B. (1983).  Computer-Intensive Methods in %        Statistics.  Scientific American, Volume 248.%        -- Gail Gong reported a 80% classfication accuracy%     2. 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: 83% accuracy% % 4. Relevant Information:%     Please ask Gail Gong for further information on this database.% % 5. Number of Instances: 155% % 6. Number of Attributes: 20 (including the class attribute)% % 7. Attribute information: %      1. Class: DIE, LIVE%      2. AGE: 10, 20, 30, 40, 50, 60, 70, 80%      3. SEX: male, female%      4. STEROID: no, yes%      5. ANTIVIRALS: no, yes%      6. FATIGUE: no, yes%      7. MALAISE: no, yes%      8. ANOREXIA: no, yes%      9. LIVER BIG: no, yes%     10. LIVER FIRM: no, yes%     11. SPLEEN PALPABLE: no, yes%     12. SPIDERS: no, yes%     13. ASCITES: no, yes%     14. VARICES: no, yes%     15. BILIRUBIN: 0.39, 0.80, 1.20, 2.00, 3.00, 4.00%         -- see the note below%     16. ALK PHOSPHATE: 33, 80, 120, 160, 200, 250%     17. SGOT: 13, 100, 200, 300, 400, 500, %     18. ALBUMIN: 2.1, 3.0, 3.8, 4.5, 5.0, 6.0%     19. PROTIME: 10, 20, 30, 40, 50, 60, 70, 80, 90%     20. HISTOLOGY: no, yes% %     The BILIRUBIN attribute appears to be continuously-valued.  I checked%     this with the donater, Bojan Cestnik, who replied:% %       About the hepatitis database and BILIRUBIN problem I would like to say%       the following: BILIRUBIN is continuous attribute (= the number of it's%       "values" in the ASDOHEPA.DAT file is negative!!!); "values" are quoted%       because when speaking about the continuous attribute there is no such %       thing as all possible values. However, they represent so called%       "boundary" values; according to these "boundary" values the attribute%       can be discretized. At the same time, because of the continious%       attribute, one can perform some other test since the continuous%       information is preserved. I hope that these lines have at least roughly %       answered your question. % % 8. Missing Attribute Values: (indicated by "?")%      Attribute Number:    Number of Missing Values:%                     1:    0%                     2:    0%                     3:    0%                     4:    1%                     5:    0%                     6:    1%                     7:    1%                     8:    1%                     9:    10%                    10:    11%                    11:    5%                    12:    5%                    13:    5%                    14:    5%                    15:    6%                    16:    29%                    17:    4%                    18:    16%                    19:    67%                    20:    0% % 9. Class Distribution:%      DIE: 32%     LIVE: 123% % %%%%% Relabeled values in attribute SEX%    From: 2                       To: male                %    From: 1                       To: female              %%% Relabeled values in attribute STEROID%    From: 1                       To: no                  %    From: 2                       To: yes                 %%% Relabeled values in attribute ANTIVIRALS%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute FATIGUE%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute MALAISE%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute ANOREXIA%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute LIVER_BIG%    From: 1                       To: no                  %    From: 2                       To: yes                 %%% Relabeled values in attribute LIVER_FIRM%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute SPLEEN_PALPABLE%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute SPIDERS%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute ASCITES%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute VARICES%    From: 2                       To: no                  %    From: 1                       To: yes                 %%% Relabeled values in attribute HISTOLOGY%    From: 1                       To: no                  %    From: 2                       To: yes                 %@relation hepatitis@attribute AGE integer@attribute SEX { male, female}@attribute STEROID { no, yes}@attribute ANTIVIRALS { no, yes}@attribute FATIGUE { no, yes}@attribute MALAISE { no, yes}@attribute ANOREXIA { no, yes}@attribute LIVER_BIG { no, yes}

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