Haberman's Survival
Donated on 3/3/1999
Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer
Dataset Characteristics
Multivariate
Subject Area
Health and Medicine
Associated Tasks
Classification
Feature Type
Integer
# Instances
306
# Features
3
Dataset Information
Additional Information
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.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| age | Feature | Integer | Age | no | ||
| operation_year | Feature | Integer | no | |||
| positive_auxillary_nodes | Feature | Integer | no | |||
| survival_status | Target | Integer | no |
0 to 4 of 4
Additional Variable Information
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) -- 1 = the patient survived 5 years or longer -- 2 = the patient died within 5 year
Dataset Files
| File | Size |
|---|---|
| haberman.data | 3 KB |
| haberman.names | 1.3 KB |
Reviews
There are no reviews for this dataset yet.
pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset haberman_s_survival = fetch_ucirepo(id=43) # data (as pandas dataframes) X = haberman_s_survival.data.features y = haberman_s_survival.data.targets # metadata print(haberman_s_survival.metadata) # variable information print(haberman_s_survival.variables)
Haberman, S. (1976). Haberman's Survival [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5XK51.
Creators
S. Haberman
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.