Glass Identification
Donated on 8/31/1987
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
Physics and Chemistry
Associated Tasks
Classification
Feature Type
Real
# Instances
214
# Features
9
Dataset 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?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| Id_number | ID | Integer | no | ||
| RI | Feature | Continuous | refractive index | no | |
| Na | Feature | Continuous | Sodium | weight percent in corresponding oxide | no |
| Mg | Feature | Continuous | Magnesium | weight percent in corresponding oxide | no |
| Al | Feature | Continuous | Aluminum | weight percent in corresponding oxide | no |
| Si | Feature | Continuous | Silicon | weight percent in corresponding oxide | no |
| K | Feature | Continuous | Potassium | weight percent in corresponding oxide | no |
| Ca | Feature | Continuous | Calcium | weight percent in corresponding oxide | no |
| Ba | Feature | Continuous | Barium | weight percent in corresponding oxide | no |
| Fe | Feature | Continuous | Iron | weight percent in corresponding oxide | no |
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Additional Variable Information
1. Id number: 1 to 214 2. RI: refractive index 3. Na: Sodium (unit measurement: weight percent in corresponding oxide, as are attributes 4-10) 4. Mg: Magnesium 5. Al: Aluminum 6. Si: Silicon 7. K: Potassium 8. Ca: Calcium 9. Ba: Barium 10. Fe: Iron 11. 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) -- 5 containers -- 6 tableware -- 7 headlamps
Class Labels
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) 5: containers 6: tableware 7: headlamps
Baseline Model Performance
Dataset Files
| File | Size |
|---|---|
| glass.data | 11.6 KB |
| glass.names | 3.4 KB |
| glass.tag | 780 Bytes |
| Index | 139 Bytes |
Papers Citing this Dataset
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By Muhammad Malik, Muhammad Nawaz, Nimrah Mustafa, Junaid Siddiqui. 2018
Published in ArXiv.
By Taizhang Shang, Xiang Xia, Jun Zheng. 2018
Published in DEStech Transactions on Computer Science and Engineering.
By Krzysztof Adamiak, Piotr Duch, Krzysztof Ślot. 2016
Published in Image Processing & Communications.
By Luis Gonzalez-Abril, José Gavilán, Francisco Morente. 2014
Published in Revista Colombiana de Estadística.
By Ming-jian Zhou, Jun-Cai Tao. 2011
Published in Procedia Environmental Sciences.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset glass_identification = fetch_ucirepo(id=42) # data (as pandas dataframes) X = glass_identification.data.features y = glass_identification.data.targets # metadata print(glass_identification.metadata) # variable information print(glass_identification.variables)
German, B. (1987). Glass Identification [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5WW2P.
Keywords
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.