glass
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Dataset:6032897
OpenML dataset with id 41
No author found.
Full work available at URL: https://api.openml.org/data/v1/download/41/glass.arff
Upload date: 6 April 2014
Dataset Characteristics
Number of classes: 6
Number of features: 10 (numeric: 9, symbolic: 1 and in total binary: 0 )
Number of instances: 214
Number of instances with missing values: 0
Number of missing values: 0
Author: Source: Unknown - Please cite:
1. Title: Glass Identification Database
2. Sources:
(a) Creator: B. German
-- Central Research Establishment
Home Office Forensic Science Service
Aldermaston, Reading, Berkshire RG7 4PN
(b) Donor: Vina Spiehler, Ph.D., DABFT
Diagnostic Products Corporation
(213) 776-0180 (ext 3014)
(c) Date: September, 1987
3. Past Usage:
-- Rule Induction in Forensic Science
-- Ian W. Evett and Ernest J. Spiehler
-- Central Research Establishment
Home Office Forensic Science Service
Aldermaston, Reading, Berkshire RG7 4PN
-- Unknown technical note number (sorry, not listed here)
-- General Results: nearest neighbor held its own with respect to the
rule-based system
4. Relevant Information:n
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!
5. Number of Instances: 214
6. Number of Attributes: 10 (including an Id#) plus the class attribute
-- all attributes are continuously valued
7. Attribute 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
8. Missing Attribute Values: None
Summary Statistics:
Attribute: Min Max Mean SD Correlation with class
2. RI: 1.5112 1.5339 1.5184 0.0030 -0.1642
3. Na: 10.73 17.38 13.4079 0.8166 0.5030
4. Mg: 0 4.49 2.6845 1.4424 -0.7447
5. Al: 0.29 3.5 1.4449 0.4993 0.5988
6. Si: 69.81 75.41 72.6509 0.7745 0.1515
7. K: 0 6.21 0.4971 0.6522 -0.0100
8. Ca: 5.43 16.19 8.9570 1.4232 0.0007
9. Ba: 0 3.15 0.1750 0.4972 0.5751
10. Fe: 0 0.51 0.0570 0.0974 -0.1879
9. Class Distribution: (out of 214 total instances)
-- 163 Window glass (building windows and vehicle windows)
-- 87 float processed
-- 70 building windows
-- 17 vehicle windows
-- 76 non-float processed
-- 76 building windows
-- 0 vehicle windows
-- 51 Non-window glass
-- 13 containers
-- 9 tableware
-- 29 headlamps
Relabeled values in attribute 'Type' From: '1' To: 'build wind float' From: '2' To: 'build wind non-float' From: '3' To: 'vehic wind float' From: '4' To: 'vehic wind non-float' From: '5' To: containers From: '6' To: tableware From: '7' To: headlamps
This page was built for dataset: glass
