Glass Identification
Donated on 9/1/1987
From USA Forensic Science Service; 6 types of glass; defined in terms of their oxide content (i.e. Na, Fe, K, etc)
Dataset Characteristics
Multivariate
Subject Area
Physical
Associated Tasks
Classification
Attribute Type
Real
# Instances
214
# Attributes
9
Information
Additional Information
Vina conducted a comparison test of her rule-based system, BEAGLE, the nearest-neighbor algorithm, and discriminant analysis. BEAGLE is a product available through VRS Consulting, Inc.; 4676 Admiralty Way, Suite 206; Marina Del Ray, CA 90292 (213) 827-7890 and FAX: -3189. In determining whether the glass was a type of "float" glass or not, the following results were obtained (# incorrect answers): Type of Sample -- Beagle -- NN -- DA Windows that were float processed (87) -- 10 -- 12 -- 21 Windows that were not: (76) -- 19 -- 16 -- 22 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!
Has Missing Values
Symbol: 0
Features
| Attribute Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Id_number | ID | Discrete | false | ||
| RI | Feature | Continuous | refractive index | false | |
| Na | Feature | Continuous | Sodium | weight percent in corresponding oxide | false |
| Mg | Feature | Continuous | Magnesium | weight percent in corresponding oxide | false |
| Al | Feature | Continuous | Aluminum | weight percent in corresponding oxide | false |
| Si | Feature | Continuous | Silicon | weight percent in corresponding oxide | false |
| K | Feature | Continuous | Potassium | weight percent in corresponding oxide | false |
| Ca | Feature | Continuous | Calcium | weight percent in corresponding oxide | false |
| Ba | Feature | Continuous | Barium | weight percent in corresponding oxide | false |
| Fe | Feature | Continuous | Iron | weight percent in corresponding oxide | false |
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Baseline Model Performance
German,B.. (1987). Glass Identification. UCI Machine Learning Repository. https://doi.org/10.24432/C5WW2P.
@misc{misc_glass_identification_42,
author = {German,B.},
title = {{Glass Identification}},
year = {1987},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: \url{10.24432/C5WW2P}}
}Creators
B. German
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.