| Converted to machine-readable form by Brian Frasca (6/13/94)
|
| 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


1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22.
	| 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

age: 1, 2, 3.			| <30, 30-59, >=60
sex: 1, 2.			| male, female
histologic-type: 1, 2, 3.	| epidermoid, adeno, anaplastic
degree-of-diffe: 1, 2, 3.	| well, fairly, poorly
bone: 1, 2.			| yes, no
bone-marrow: 1, 2.		| yes, no
lung: 1, 2.			| yes, no
pleura: 1, 2.			| yes, no
peritoneum: 1, 2.		| yes, no
liver: 1, 2.			| yes, no
brain: 1, 2.			| yes, no
skin: 1, 2.			| yes, no
neck: 1, 2.			| yes, no
supraclavicular: 1, 2.		| yes, no
axillar: 1, 2.			| yes, no
mediastinum: 1, 2.		| yes, no
abdominal: 1, 2.		| yes, no