classdata.std: Classification Data - Breast Cancer Wisconsin (Diagnostic)

In cmaRs: Implementation of the Conic Multivariate Adaptive Regression Splines in R

Classification Data - Breast Cancer Wisconsin (Diagnostic)

Description

Pre-processed and standardized Breast Cancer Wisconsin (Diagnostic) is a real-life data set from University of California at Irvine (UCI) machine learning data repository UCI: Machine Learning Repository (available at http://archive.ics.uci.edu/ml/).

Usage

data(classdata.std)

Format

A data frame with 569 rows and 31 variables.

Source

http://archive.ics.uci.edu/ml/index.php

References

Dua, D. and Graff, C. (2017). UCI machine learning repository.

Examples

## Not run: 
data(classdata.std)
cmaRs(y ~ ., classification = TRUE, data = classdata.std)

## End(Not run)

cmaRs documentation built on July 9, 2023, 5:17 p.m.