Primary Tumor

Donated on 10/31/1988

From Ljubljana Oncology Institute

Dataset Characteristics

Multivariate

Subject Area

Health and Medicine

Associated Tasks

Classification

Feature Type

Categorical

# Instances

339

# Features

17

Dataset Information

Additional Information

This is one of three domains provided by the Oncology Institutenthat has repeatedly appeared in the machine learning literature. (See also breast-cancer and lymphography.)

Has Missing Values?

Yes

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
classTargetIntegerno
ageFeatureIntegerAgeno
sexFeatureIntegerSexyes
histologic-typeFeatureIntegeryes
degree-of-diffeFeatureIntegeryes
boneFeatureIntegerno
bone-marryowFeatureIntegerno
lungFeatureIntegerno
pleuraFeatureIntegerno
peritoneumFeatureIntegerno

0 to 10 of 18

Additional Variable Information

--- 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

Class Labels

[1-22]: 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

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Keywords

cancer

Creators

M. Zwitter

M. Soklic

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