glass.arff

是UCI数据库中的一些有代表性的数据集

% 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
%                [phone] (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 [phone] 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           
%
@relation Glass
@attribute 'RI' real
@attribute 'Na' real
@attribute 'Mg' real
@attribute 'Al' real
@attribute 'Si' real
@attribute 'K' real
@attribute 'Ca' real
@attribute 'Ba' real
@attribute 'Fe' real
@attribute 'Type' { 'build wind float', 'build wind non-float', 'vehic wind float', 'vehic wind non-float', containers, tableware, headlamps}
@data
1.51793,12.79,3.5,1.12,73.03,0.64,8.77,0,0,'build wind float'
1.51643,12.16,3.52,1.35,72.89,0.57,8.53,0,0,'vehic wind float'
1.51793,13.21,3.48,1.41,72.64,0.59,8.43,0,0,'build wind float'
1.51299,14.4,1.74,1.54,74.55,0,7.59,0,0,tableware
1.53393,12.3,0,1,70.16,0.12,16.19,0,0.24,'build wind non-float'
1.51655,12.75,2.85,1.44,73.27,0.57,8.79,0.11,0.22,'build wind non-float'
1.51779,13.64,3.65,0.65,73,0.06,8.93,0,0,'vehic wind float'
1.51837,13.14,2.84,1.28,72.85,0.55,9.07,0,0,'build wind float'
1.51545,14.14,0,2.68,73.39,0.08,9.07,0.61,0.05,headlamps
1.51789,13.19,3.9,1.3,72.33,0.55,8.44,0,0.28,'build wind non-float'
1.51625,13.36,3.58,1.49,72.72,0.45,8.21,0,0,'build wind non-float'
1.51743,12.2,3.25,1.16,73.55,0.62,8.9,0,0.24,'build wind non-float'
1.52223,13.21,3.77,0.79,71.99,0.13,10.02,0,0,'build wind float'
1.52121,14.03,3.76,0.58,71.79,0.11,9.65,0,0,'vehic wind float'
1.51665,13.14,3.45,1.76,72.48,0.6,8.38,0,0.17,'vehic wind float'
1.51707,13.48,3.48,1.71,72.52,0.62,7.99,0,0,'build wind non-float'
1.51719,14.75,0,2,73.02,0,8.53,1.59,0.08,headlamps
1.51629,12.71,3.33,1.49,73.28,0.67,8.24,0,0,'build wind non-float'
1.51994,13.27,0,1.76,73.03,0.47,11.32,0,0,containers
1.51811,12.96,2.96,1.43,72.92,0.6,8.79,0.14,0,'build wind non-float'
1.52152,13.05,3.65,0.87,72.22,0.19,9.85,0,0.17,'build wind float'
1.52475,11.45,0,1.88,72.19,0.81,13.24,0,0.34,'build wind non-float'
1.51841,12.93,3.74,1.11,72.28,0.64,8.96,0,0.22,'build wind non-float'
1.51754,13.39,3.66,1.19,72.79,0.57,8.27,0,0.11,'build wind float'
1.52058,12.85,1.61,2.17,72.18,0.76,9.7,0.24,0.51,containers
1.51569,13.24,3.49,1.47,73.25,0.38,8.03,0,0,'build wind non-float'
1.5159,12.82,3.52,1.9,72.86,0.69,7.97,0,0,'build wind non-float'
1.51683,14.56,0,1.98,73.29,0,8.52,1.57,0.07,headlamps
1.51687,13.23,3.54,1.48,72.84,0.56,8.1,0,0,'build wind non-float'
1.5161,13.33,3.53,1.34,72.67,0.56,8.33,0,0,'vehic wind float'
1.51674,12.87,3.56,1.64,73.14,0.65,7.99,0,0,'build wind non-float'
1.51832,13.33,3.34,1.54,72.14,0.56,8.99,0,0,'vehic wind float'
1.51115,17.38,0,0.34,75.41,0,6.65,0,0,tableware
1.51645,13.44,3.61,1.54,72.39,0.66,8.03,0,0,'build wind non-float'
1.51755,13,3.6,1.36,72.99,0.57,8.4,0,0.11,'build wind float'
1.51571,12.72,3.46,1.56,73.2,0.67,8.09,0,0.24,'build wind float'
1.51596,12.79,3.61,1.62,72.97,0.64,8.07,0,0.26,'build wind float'
1.5173,12.35,2.72,1.63,72.87,0.7,9.23,0,0,'build wind non-float'
1.51662,12.85,3.51,1.44,73.01,0.68,8.23,0.06,0.25,'build wind non-float'
1.51409,14.25,3.09,2.08,72.28,1.1,7.08,0,0,'build wind non-float'
1.51797,12.74,3.48,1.35,72.96,0.64,8.68,0,0,'build wind float'
1.51806,13,3.8,1.08,73.07,0.56,8.38,0,0.12,'build wind non-float'
1.51627,13,3.58,1.54,72.83,0.61,8.04,0,0,'build wind non-float'
1.5159,13.24,3.34,1.47,73.1,0.39,8.22,0,0,'build wind non-float'
1.51934,13.64,3.54,0.75,72.65,0.16,8.89,0.15,0.24,'vehic wind float'
1.51755,12.71,3.42,1.2,73.2,0.59,8.64,0,0,'build wind float'
1.51514,14.01,2.68,3.5,69.89,1.68,5.87,2.2,0,containers
1.51766,13.21,3.69,1.29,72.61,0.57,8.22,0,0,'build wind float'
1.51784,13.08,3.49,1.28,72.86,0.6,8.49,0,0,'build wind float'