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73 lines
3.1 KiB
73 lines
3.1 KiB
2 years ago
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Citation Request:
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This breast cancer domain was obtained from the University Medical Centre,
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Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
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M. Soklic for providing the data. Please include this citation if you plan
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to use this database.
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1. Title: Breast cancer data (Michalski has used this)
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2. Sources:
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-- Matjaz Zwitter & Milan Soklic (physicians)
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Institute of Oncology
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University Medical Center
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Ljubljana, Yugoslavia
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-- Donors: Ming Tan and Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)
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-- Date: 11 July 1988
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3. Past Usage: (Several: here are some)
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-- Michalski,R.S., Mozetic,I., Hong,J., & Lavrac,N. (1986). The
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Multi-Purpose Incremental Learning System AQ15 and its Testing
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Application to Three Medical Domains. In Proceedings of the
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Fifth National Conference on Artificial Intelligence, 1041-1045,
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Philadelphia, PA: Morgan Kaufmann.
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-- accuracy range: 66%-72%
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-- Clark,P. & Niblett,T. (1987). Induction in Noisy Domains. In
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Progress in Machine Learning (from the Proceedings of the 2nd
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European Working Session on Learning), 11-30, Bled,
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Yugoslavia: Sigma Press.
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-- 8 test results given: 65%-72% accuracy range
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-- Tan, M., & Eshelman, L. (1988). Using weighted networks to
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represent classification knowledge in noisy domains. Proceedings
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of the Fifth International Conference on Machine Learning, 121-134,
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Ann Arbor, MI.
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-- 4 systems tested: accuracy range was 68%-73.5%
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-- Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A
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Knowledge-Elicitation Tool for Sophisticated Users. In I.Bratko
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& N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.
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-- Assistant-86: 78% accuracy
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4. Relevant Information:
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This is one of three domains provided by the Oncology Institute
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that has repeatedly appeared in the machine learning literature.
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(See also lymphography and primary-tumor.)
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This data set includes 201 instances of one class and 85 instances of
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another class. The instances are described by 9 attributes, some of
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which are linear and some are nominal.
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5. Number of Instances: 286
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6. Number of Attributes: 9 + the class attribute
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7. Attribute Information:
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1. Class: no-recurrence-events, recurrence-events
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2. age: 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, 90-99.
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3. menopause: lt40, ge40, premeno.
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4. tumor-size: 0-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44,
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45-49, 50-54, 55-59.
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5. inv-nodes: 0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18-20, 21-23, 24-26,
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27-29, 30-32, 33-35, 36-39.
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6. node-caps: yes, no.
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7. deg-malig: 1, 2, 3.
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8. breast: left, right.
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9. breast-quad: left-up, left-low, right-up, right-low, central.
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10. irradiat: yes, no.
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8. Missing Attribute Values: (denoted by "?")
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Attribute #: Number of instances with missing values:
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6. 8
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9. 1.
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9. Class Distribution:
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1. no-recurrence-events: 201 instances
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2. recurrence-events: 85 instances
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