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Glass

Glass Identification Database


Description

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)

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)

Source

  • Creator: B. German, Central Research Establishment, Home Office Forensic Science Service, Aldermaston, Reading, Berkshire RG7 4PN

  • Donor: Vina Spiehler, Ph.D., DABFT, Diagnostic Products Corporation

These data have been taken from the UCI Repository Of Machine Learning Databases at

and were converted to R format by Friedrich Leisch.

References

Newman, D.J. & Hettich, S. & Blake, C.L. & Merz, C.J. (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.

Examples

data(Glass)
summary(Glass)

mlbench

Machine Learning Benchmark Problems

v2.1-3
GPL-2
Authors
Friedrich Leisch and Evgenia Dimitriadou.
Initial release
2021-01-21

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