cmaRs (version 0.1.3)

preddata.std: 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.

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

if (FALSE) {
data(preddata.std)
cmaRs(Compressive_Strength ~ ., classification = FALSE, data = preddata.std)
}