A data frame with 214 observation containing examples of
the chemical analysis of 7 different types of glass. The problem is to
forecast the type of class on basis of the chemical analysis. The
study of classification of types of glass was motivated by
criminological investigation. At the scene of the crime, the glass left
can be used as evidence (if it is correctly identified!).
Usage
data("Glass", package = "mlbench")
Arguments
Format
A data frame with 214 observations on 10 variables:
[,1]
RI
refractive index
[,2]
Na
Sodium
[,3]
Mg
Magnesium
[,4]
Al
Aluminum
[,5]
Si
Silicon
[,6]
K
Potassium
[,7]
Ca
Calcium
[,8]
Ba
Barium
[,9]
Fe
Iron
[,10]
Type
Type of glass (class attribute)
References
Blake, C.L. & Merz, C.J. (1998).
UCI Repository of Machine Learning Databases. Irvine, CA:
University of California, Irvine, Department of Information and Computer
Science.
Formerly available from http://www.ics.uci.edu/~mlearn/MLRepository.html.