breast-cancer
type: Item
instance of: data set
OpenML dataset ID: 13
dataset version identifier: 1
description: **Author**: \N**Source**: Unknown - \N**Please cite**: \N\NCitation Request:\N This breast cancer domain was obtained from the University Medical Centre,\N Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and \N M. Soklic for providing the data. Please include this citation if you plan\N to use this database.\N \N 1. Title: Breast cancer data (Michalski has used this)\N \N 2. Sources: \N -- Matjaz Zwitter & Milan Soklic (physicians)\N Institute of Oncology \N University Medical Center\N Ljubljana, Yugoslavia\N -- Donors: Ming Tan and Jeff Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu)\N -- Date: 11 July 1988\N \N 3. Past Usage: (Several: here are some)\N -- Michalski,R.S., Mozetic,I., Hong,J., & Lavrac,N. (1986). The \N Multi-Purpose Incremental Learning System AQ15 and its Testing \N Application to Three Medical Domains. In Proceedings of the \N Fifth National Conference on Artificial Intelligence, 1041-1045,\N Philadelphia, PA: Morgan Kaufmann.\N -- accuracy range: 66%-72%\N -- Clark,P. & Niblett,T. (1987). Induction in Noisy Domains. In \N Progress in Machine Learning (from the Proceedings of the 2nd\N European Working Session on Learning), 11-30, Bled, \N Yugoslavia: Sigma Press.\N -- 8 test results given: 65%-72% accuracy range\N -- Tan, M., & Eshelman, L. (1988). Using weighted networks to \N represent classification knowledge in noisy domains. Proceedings \N of the Fifth International Conference on Machine Learning, 121-134,\N Ann Arbor, MI.\N -- 4 systems tested: accuracy range was 68%-73.5%\N -- Cestnik,G., Konenenko,I, & Bratko,I. (1987). Assistant-86: A\N Knowledge-Elicitation Tool for Sophisticated Users. In I.Bratko\N & N.Lavrac (Eds.) Progress in Machine Learning, 31-45, Sigma Press.\N -- Assistant-86: 78% accuracy\N \N 4. Relevant Information:\N This is one of three domains provided by the Oncology Institute\N that has repeatedly appeared in the machine learning literature.\N (See also lymphography and primary-tumor.)\N \N This dat…
author name string: Matjaz Zwitter
author name string: Milan Soklic
author name string: Ming Tan
author name string: Jeff Schlimmer
collection date: 1988-07-11
upload date: 2014-04-06T00:00:00Z
full work available at URL: breast-cancer.arff
full work available at URL: Breast+Cancer
default target attribute: Class
OpenML semantic tag: Machine Learning
OpenML semantic tag: Medicine
citation text: https://www.aaai.org/Papers/AAAI/1986/AAAI86-171.pdf
number of binary features: 4
number of classes: 2
number of features: 10
number of instances: 286
number of instances with missing values: 9
number of missing values: 9
number of numeric features: 0
number of symbolic features: 10
file format: ARFF
MaRDI profile type: Dataset
description: OpenML dataset with id 13