Summary

(No information yet)

License

unknown (from Weka repository)

Dependencies

Tags

arff slurped Weka

Attribute Types

String

Download

# Instances: 339 / # Attributes: 18
HDF5 (262.5 KB) XML CSV ARFF LibSVM Matlab Octave

Files are converted on demand and the process can take up to a minute. Please wait until download begins.

Original Data Format

arff

Name

primary-tumor

Version mldata

0

Comment

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

8. peritoneum: yes, no

9. liver: yes, no

10. brain: yes, no

11. skin: yes, no

12. neck: yes, no

13. supraclavicular: yes, no

14. axillar: yes, no

15. mediastinum: yes, no

16. abdominal: yes, no

17. 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

18. 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 From: 1 To: yes
From: 2 To: no

Relabeled values in attribute mediastinum From: 1 To: yes
From: 2 To: no

Relabeled values in attribute abdominal From: 1 To: yes
From: 2 To: no

Relabeled values in attribute class From: 1 To: lung
From: 2 To: 'head and neck'
From: 3 To: esophagus
From: 4 To: thyroid
From: 5 To: stomach
From: 6 To: 'duoden and sm.int' From: 7 To: colon
From: 8 To: rectum
From: 9 To: anus
From: 10 To: 'salivary glands'
From: 11 To: pancreas
From: 12 To: gallbladder
From: 13 To: liver
From: 14 To: kidney
From: 15 To: bladder
From: 16 To: testis
From: 17 To: prostate
From: 18 To: ovary
From: 19 To: 'corpus uteri'
From: 20 To: 'cervix uteri'
From: 21 To: vagina
From: 22 To: breast

Names

age,sex,histologic-type,degree-of-diffe,bone,bone-marrow,lung,pleura,peritoneum,liver,

Types

1. nominal:'<30','30-59','>=60'
2. nominal:male,female
3. nominal:epidermoid,adeno,anaplastic
4. nominal:well,fairly,poorly
5. nominal:yes,no
6. nominal:yes,no
7. nominal:yes,no
8. nominal:yes,no
9. nominal:yes,no
10. nominal:yes,no

Data (first 10 data points)

age	sex	hist...	degr...	bone	bone...	lung	pleura	peri...	liver	...
'>=60'	female	nan	nan	no	no	no	no	no	yes	...
'>=60'	male	nan	poorly	no	no	no	no	no	yes	...
'30-...	female	adeno	nan	no	no	no	yes	no	no	...
'30-...	female	adeno	nan	no	no	no	no	yes	no	...
'30-...	female	adeno	nan	no	no	no	yes	yes	no	...
'30-...	male	adeno	nan	no	no	no	no	no	yes	...
'30-...	male	adeno	nan	yes	no	no	no	no	no	...
'30-...	female	adeno	nan	yes	no	no	no	no	no	...
'30-...	male	adeno	fairly	no	no	no	no	no	no	...
'30-...	female	adeno	well	no	no	no	no	yes	yes	...
...	...	...	...	...	...	...	...	...	...	...

Description

A gzip'ed tar containing UCI and UCI KDD datasets (uci-20070111.tar.gz, 17,952,832 Bytes)

URLs

(No information yet)

Publications

Data Source

http://www.ics.uci.edu/~mlearn/MLRepository.html http://kdd.ics.uci.edu/

Measurement Details

Usage Scenario

revision 1

by mldata on 2011-09-14 15:57

No one has posted any comments yet. Perhaps you would like to be the first?

Leave a comment

This item was downloaded 4285 times and viewed 2722 times.

No Tasks yet on dataset uci-20070111 primary-tumor