The haberman.csv data file 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. A branch of Python codes has run using library statsmodels.api to construct a logistic regression model to predict the survival probability, and hence, we get the following results:

Optimization terminated successfully. Current function value: 0.536367 Iterations 5 Results: Logit == Model : Logit Pseudo R-squared: 0.072 Dependent Variable: status AIC: 336. 2564 Date : 2021-10-22 06:31 BIC: 351 . 1508 No. Observations : 306 Log-Likelihood : -164.13 Df Model : 3 LL-Null : -176.84 Df Residuals: 302 LLR p-value: 1. 2542e-05 Converged: 1 . 0000 Scale : 1 . 0000 No. Iterations: 5.0000 Coef. Std . Err. Z P>IZI [0 . 025 0.975] const -1. 8616 2. 6752 -0. 6959 0. 4865 -7. 1049 3.3817 age 0. 0199 0. 0127 1.5625 0.1182 -0. 0051 0.0449 operation year -0. 0098 0. 0420 -0.2329 0.8159 -0.0921 0.0726 axil nodes 0 . 0884 0 . 0198 4. 4557 0. 0000 0. 0495 0.1273