/Survival-Haberman-Dataset-Analysis-EDA

EDA on Haberman's Cancer Survival Dataset

Primary LanguageJupyter Notebook

Survival-Haberman-Dataset-Analysis-EDA

EDA on Haberman's Cancer Survival Dataset

Objective:

Perform Exploratory Data Analysis to predict whether a patient undergoing surgery for breast cancer survives for more than 5 years or not based on the age , year of operation and the number of positive axillary nodes detected.

Dataset obtained from :

https://www.kaggle.com/gilsousa/haberman-s-survival

Dataset Description:

The dataset 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.

Attribute Information:

a. Age of patient at time of operation (numerical)

b. Patient's year of operation (year - 1900, numerical)

c. Number of positive axillary nodes detected (numerical)

d. Survival status (class attribute) 1 = the patient survived 5 years or longer 2 = the patient died within 5 year