haberman: Haberman survival data
In funcml: Functional Machine Learning Framework
haberman R Documentation
Haberman survival data
Description
A binary classification dataset on breast cancer survival after surgery.
Usage
haberman
Format
A data frame with 306 rows and 4 variables:
- age
Age of patient at operation time in years.
- operation_year
Year of operation minus 1900.
- positive_axillary_nodes
Number of positive axillary nodes detected.
- survival_status
Survival status (1 = survived 5 years or longer,
2 = died within 5 years).
Source
Haberman's Survival Data from the University of Chicago's Billings
Hospital study, distributed through the UCI Machine Learning Repository.
Examples
str(funcml::haberman)
table(funcml::haberman$survival_status)
funcml documentation built on Aug. 22, 2026, 5:08 p.m.
R Package Documentation
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| haberman | R Documentation |
Haberman survival data
Description
A binary classification dataset on breast cancer survival after surgery.
Usage
haberman
Format
A data frame with 306 rows and 4 variables:
- age
Age of patient at operation time in years.
- operation_year
Year of operation minus 1900.
- positive_axillary_nodes
Number of positive axillary nodes detected.
- survival_status
Survival status (
1= survived 5 years or longer,2= died within 5 years).
Source
Haberman's Survival Data from the University of Chicago's Billings Hospital study, distributed through the UCI Machine Learning Repository.
Examples
str(funcml::haberman)
table(funcml::haberman$survival_status)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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