?? primary-tumor.arff
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% 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)(+61) 265-161% % Bojan Cestnik% Jozef Stefan Institute% Jamova 39% 61000 Ljubljana% Yugoslavia (tel.: (38)(+61) 214-399 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
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