Logistic-Regression

Logistic regression model to predict the survival of patients who had undergone surgery for breast cancer. The Haberman's Survival Dataset was used, the dataset contains cases from a study conducted on the survival of patients who had undergone surgery for breast cancer. The attributes information as follows:

1. Age of patient at time of operation (numerical)
2. Patient's year of operation (year - 1900, numerical)
3. Number of positive axillary nodes detected (numerical)
4. Survival status (class attribute):
   • 0 = the patient survived 5 years or longer
   • 1 = the patient died within 5 year