View datasets-UCI primary-tumor (public)

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Summary

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License
unknown (from Weka repository)
Dependencies
Tags
arff slurped Weka
Attribute Types
String
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# Instances: 339 / # Attributes: 18
HDF5 (262.5 KB) XML CSV ARFF LibSVM Matlab Octave

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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 jarfile containing 37 classification problems, originally obtained from the UCI repository (datasets-UCI.jar, 1,190,961 Bytes).

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    Data Source
    http://www.ics.uci.edu/~mlearn/MLRepository.html
    Measurement Details
    Usage Scenario
    revision 1
    by mldata on 2010-11-06 09:57

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