SDR (version 0.7.0.0)

habermanTra: Haberman survival data set

Description

Training data for the Haberman dataset.

Format

A keel class with 306 instances, 3 variables (without the target variable) and 2 values for the target variable. Three fuzzy labels for each numerical variable are defined.

Source

Haberman, S. J. (1976). Generalized Residuals for Log-Linear Models, Proceedings of the 9th International Biometrics Conference, Boston, pp. 104-122. Landwehr, J. M., Pregibon, D., and Shoemaker, A. C. (1984), Graphical Models for Assessing Logistic Regression Models (with discussion), Journal of the American Statistical Association 79: 61-83. Lo, W.-D. (1993). Logistic Regression Trees, PhD thesis, Department of Statistics, University of Wisconsin, Madison, WI.

Details

This data set contains cases from a study that was conducted between 1958 and 1970 at the University of Chicago's Billings Hospital on the survival of patients who had undergone surgery for breast cancer. The task is to determine if the patient survived 5 years or longer (positive) or if the patient died within 5 year (negative)

Examples

habermanTra$data
    habermanTra$fuzzySets