Haberman’s Cancer Survival Data Set Summary

Data Description

• Source: University of Chicago’s Billings Hospital
• Period: 1958 - 1970
• Objective: To predict patient survival after 5 years post-surgery for breast cancer

Attribute Information

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

Analysis Tools

• Python Libraries: Seaborn, Matplotlib, NumPy, Pandas
• Visualization Example: Density plot of patient age vs. year of operation