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乳腺癌数据集

乳腺癌数据集

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Life Classification

Creators:Matjaz ZwitterMilan Soklic (physicians)Institute of Oncology University Medical CenterLjubljana, YugoslaviaDono......

数据结构 ? 3K

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    Creators:

    Matjaz Zwitter & Milan Soklic (physicians)
    Institute of oncology
    University Medical Center
    Ljubljana, Yugoslavia

    Donors:

    Ming Tan and Jeff Schlimmer (Jeffrey.Schlimmer '@' a.gp.cs.cmu.edu)


    Data Set Information:

    This is one of three domains provided by the oncology Institute that has repeatedly appeared in the machine learning literature. (See also lymphography and primary-tumor.)

    This data set includes 201 instances of one class and 85 instances of another class.  The instances are described by 9 attributes, some of which are linear and some are nominal.


    Attribute Information:

    1. Class: no-recurrence-events, recurrence-events
      2. age: 10-19, 20-29, 30-39, 40-49, 50-59, 60-69, 70-79, 80-89, 90-99.
      3. menopause: lt40, ge40, premeno.
      4. tumor-size: 0-4, 5-9, 10-14, 15-19, 20-24, 25-29, 30-34, 35-39, 40-44, 45-49, 50-54, 55-59.
      5. inv-nodes: 0-2, 3-5, 6-8, 9-11, 12-14, 15-17, 18-20, 21-23, 24-26, 27-29, 30-32, 33-35, 36-39.
      6. node-caps: yes, no.
      7. deg-malig: 1, 2, 3.
      8. breast: left, right.
      9. breast-quad: left-up, left-low, right-up, right-low, central.
     10. irradiat: yes, no.


    Relevant Papers:

    Michalski,R.S., Mozetic,I., Hong,J., & Lavrac,N. (1986). The Multi-Purpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains.  In Proceedings of the Fifth National Conference on Artificial Intelligence, 1041-1045, Philadelphia, PA: Morgan Kaufmann.
    [Web link]

    Clark,P. & Niblett,T. (1987). Induction in Noisy Domains.  In Progress in Machine Learning (from the Proceedings of the 2nd European Working Session on Learning), 11-30, Bled, Yugoslavia: Sigma Press.
    [Web link]

    Tan, M., & Eshelman, L. (1988). Using weighted networks to represent classification knowledge in noisy domains.  Proceedings of the Fifth International Conference on Machine Learning, 121-134, Ann Arbor, MI.
    [Web link]

    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.
    [Web link]


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