glass: Glass Identification Database
A data frame with 214 observations, where the problem is to
predict the type of glass in terms of their oxide content
(i.e. Na, Fe, K, etc). 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!
FormatA data frame with 214 observations on the following 11 variables.
- Id number.
- Refractive index.
- Sodium (unit measurement: weight percent in corresponding
oxide, as are attributes 4-10).
- Type of glass: (class attribute)
1 building windows float processed
2 building windows non float processed
3 vehicle windows float processed
4 vehicle windows non float processed (none in this database)
The data have been taken from the UCI Machine Learning Database Repository
and were converted to R format by firstname.lastname@example.org.
- 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