preddata.std: Prediction Data - Concrete Slump Test

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

Prediction Data - Concrete Slump Test

Description

Pre-processed and standardized Concrete Slump Test 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(preddata.std)

Format

A data frame with 103 rows and 8 variables.

Source

https://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength

References

Yeh, I.-C. (2007). Modeling slump flow of concrete using second-order regressions and artificial neural networks. Cement and Concrete Composites, 29(6): 474 - 480.

Examples

## Not run: 
data(preddata.std)
cmaRs(Compressive_Strength ~ ., classification = FALSE, data = preddata.std)

## End(Not run)

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