Glass: Glass Identification Database

Description Usage Format Source References Examples

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

1

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

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

1
2

Example output

       RI              Na              Mg              Al       
 Min.   :1.511   Min.   :10.73   Min.   :0.000   Min.   :0.290  
 1st Qu.:1.517   1st Qu.:12.91   1st Qu.:2.115   1st Qu.:1.190  
 Median :1.518   Median :13.30   Median :3.480   Median :1.360  
 Mean   :1.518   Mean   :13.41   Mean   :2.685   Mean   :1.445  
 3rd Qu.:1.519   3rd Qu.:13.82   3rd Qu.:3.600   3rd Qu.:1.630  
 Max.   :1.534   Max.   :17.38   Max.   :4.490   Max.   :3.500  
       Si              K                Ca               Ba       
 Min.   :69.81   Min.   :0.0000   Min.   : 5.430   Min.   :0.000  
 1st Qu.:72.28   1st Qu.:0.1225   1st Qu.: 8.240   1st Qu.:0.000  
 Median :72.79   Median :0.5550   Median : 8.600   Median :0.000  
 Mean   :72.65   Mean   :0.4971   Mean   : 8.957   Mean   :0.175  
 3rd Qu.:73.09   3rd Qu.:0.6100   3rd Qu.: 9.172   3rd Qu.:0.000  
 Max.   :75.41   Max.   :6.2100   Max.   :16.190   Max.   :3.150  
       Fe          Type  
 Min.   :0.00000   1:70  
 1st Qu.:0.00000   2:76  
 Median :0.00000   3:17  
 Mean   :0.05701   5:13  
 3rd Qu.:0.10000   6: 9  
 Max.   :0.51000   7:29  

mlbench documentation built on May 2, 2019, 2:12 p.m.