%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Attributes 2 and 8 deleted.
%
% As used by Kilpatrick, D. & Cameron-Jones, M. (1998). Numeric prediction
% using instance-based learning with encoding length selection. In Progress
% in Connectionist-Based Information Systems. Singapore: Springer-Verlag.
%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% 1. Title: Relative CPU Performance Data 
% 
% 2. Source Information
%    -- Creators: Phillip Ein-Dor and Jacob Feldmesser
%      -- Ein-Dor: Faculty of Management; Tel Aviv University; Ramat-Aviv; 
%         Tel Aviv, 69978; Israel
%    -- Donor: David W. Aha (aha@ics.uci.edu) (714) 856-8779   
%    -- Date: October, 1987
%  
% 3. Past Usage:
%     1. Ein-Dor and Feldmesser (CACM 4/87, pp 308-317)
%        -- Results: 
%           -- linear regression prediction of relative cpu performance
%           -- Recorded 34% average deviation from actual values 
%     2. Kibler,D. & Aha,D. (1988).  Instance-Based Prediction of
%        Real-Valued Attributes.  In Proceedings of the CSCSI (Canadian
%        AI) Conference.
%        -- Results:
%           -- instance-based prediction of relative cpu performance
%           -- similar results; no transformations required
%     - Predicted attribute: cpu relative performance (numeric)
% 
% 4. Relevant Information:
%    -- The estimated relative performance values were estimated by the authors
%       using a linear regression method.  See their article (pp 308-313) for
%       more details on how the relative performance values were set.
% 
% 5. Number of Instances: 209 
% 
% 6. Number of Attributes: 10 (6 predictive attributes, 2 non-predictive, 
%                              1 goal field, and the linear regression's guess)
% 
% 7. Attribute Information:
%    1. vendor name: 30 
%       (adviser, amdahl,apollo, basf, bti, burroughs, c.r.d, cambex, cdc, dec, 
%        dg, formation, four-phase, gould, honeywell, hp, ibm, ipl, magnuson, 
%        microdata, nas, ncr, nixdorf, perkin-elmer, prime, siemens, sperry, 
%        sratus, wang)
%    2. Model Name: many unique symbols
%    3. MYCT: machine cycle time in nanoseconds (integer)
%    4. MMIN: minimum main memory in kilobytes (integer)
%    5. MMAX: maximum main memory in kilobytes (integer)
%    6. CACH: cache memory in kilobytes (integer)
%    7. CHMIN: minimum channels in units (integer)
%    8. CHMAX: maximum channels in units (integer)
%    9. PRP: published relative performance (integer)
%   10. ERP: estimated relative performance from the original article (integer)
% 
% 8. Missing Attribute Values: None
% 
% 9. Class Distribution: the class value (PRP) is continuously valued.
%    PRP Value Range:   Number of Instances in Range:
%    0-20               31
%    21-100             121
%    101-200            27
%    201-300            13
%    301-400            7
%    401-500            4
%    501-600            2
%    above 600          4
% 
% Summary Statistics:
%            Min  Max   Mean    SD      PRP Correlation
%    MCYT:   17   1500  203.8   260.3   -0.3071
%    MMIN:   64   32000 2868.0  3878.7   0.7949
%    MMAX:   64   64000 11796.1 11726.6  0.8630
%    CACH:   0    256   25.2    40.6     0.6626
%    CHMIN:  0    52    4.7     6.8      0.6089
%    CHMAX:  0    176   18.2    26.0     0.6052
%    PRP:    6    1150  105.6   160.8    1.0000
%    ERP:   15    1238  99.3    154.8    0.9665
%

@relation 'cpu'
@attribute vendor { adviser, amdahl, apollo, basf, bti, burroughs, c.r.d, cdc, cambex, dec, dg, formation, four-phase, gould, hp, harris, honeywell, ibm, ipl, magnuson, microdata, nas, ncr, nixdorf, perkin-elmer, prime, siemens, sperry, sratus, wang}
@attribute MYCT real
@attribute MMIN real
@attribute MMAX real
@attribute CACH real
@attribute CHMIN real
@attribute CHMAX real
@attribute class real
@data
adviser,125,256,6000,256,16,128,199
amdahl,29,8000,32000,32,8,32,253
amdahl,29,8000,32000,32,8,32,253
amdahl,29,8000,32000,32,8,32,253
amdahl,29,8000,16000,32,8,16,132
amdahl,26,8000,32000,64,8,32,290
amdahl,23,16000,32000,64,16,32,381
amdahl,23,16000,32000,64,16,32,381
amdahl,23,16000,64000,64,16,32,749
amdahl,23,32000,64000,128,32,64,1238
apollo,400,1000,3000,0,1,2,23
apollo,400,512,3500,4,1,6,24
basf,60,2000,8000,65,1,8,70
basf,50,4000,16000,65,1,8,117
bti,350,64,64,0,1,4,15
bti,200,512,16000,0,4,32,64
burroughs,167,524,2000,8,4,15,23
burroughs,143,512,5000,0,7,32,29
burroughs,143,1000,2000,0,5,16,22
burroughs,110,5000,5000,142,8,64,124
burroughs,143,1500,6300,0,5,32,35
burroughs,143,3100,6200,0,5,20,39
burroughs,143,2300,6200,0,6,64,40
burroughs,110,3100,6200,0,6,64,45
c.r.d,320,128,6000,0,1,12,28
c.r.d,320,512,2000,4,1,3,21
c.r.d,320,256,6000,0,1,6,28
c.r.d,320,256,3000,4,1,3,22
c.r.d,320,512,5000,4,1,5,28
c.r.d,320,256,5000,4,1,6,27
cdc,25,1310,2620,131,12,24,102
cdc,25,1310,2620,131,12,24,102
cdc,50,2620,10480,30,12,24,74
cdc,50,2620,10480,30,12,24,74
cdc,56,5240,20970,30,12,24,138
cdc,64,5240,20970,30,12,24,136
cdc,50,500,2000,8,1,4,23
cdc,50,1000,4000,8,1,5,29
cdc,50,2000,8000,8,1,5,44
cambex,50,1000,4000,8,3,5,30
cambex,50,1000,8000,8,3,5,41
cambex,50,2000,16000,8,3,5,74
cambex,50,2000,16000,8,3,6,74
cambex,50,2000,16000,8,3,6,74
dec,133,1000,12000,9,3,12,54
dec,133,1000,8000,9,3,12,41
dec,810,512,512,8,1,1,18
dec,810,1000,5000,0,1,1,28
dec,320,512,8000,4,1,5,36
dec,200,512,8000,8,1,8,38
dg,700,384,8000,0,1,1,34
dg,700,256,2000,0,1,1,19
dg,140,1000,16000,16,1,3,72
dg,200,1000,8000,0,1,2,36
dg,110,1000,4000,16,1,2,30
dg,110,1000,12000,16,1,2,56
dg,220,1000,8000,16,1,2,42
formation,800,256,8000,0,1,4,34
formation,800,256,8000,0,1,4,34
formation,800,256,8000,0,1,4,34
formation,800,256,8000,0,1,4,34
formation,800,256,8000,0,1,4,34
four-phase,125,512,1000,0,8,20,19
gould,75,2000,8000,64,1,38,75
gould,75,2000,16000,64,1,38,113
gould,75,2000,16000,128,1,38,157
hp,90,256,1000,0,3,10,18
hp,105,256,2000,0,3,10,20
hp,105,1000,4000,0,3,24,28
hp,105,2000,4000,8,3,19,33
hp,75,2000,8000,8,3,24,47
hp,75,3000,8000,8,3,48,54
hp,175,256,2000,0,3,24,20
harris,300,768,3000,0,6,24,23
harris,300,768,3000,6,6,24,25
harris,300,768,12000,6,6,24,52
harris,300,768,4500,0,1,24,27
harris,300,384,12000,6,1,24,50
harris,300,192,768,6,6,24,18
harris,180,768,12000,6,1,31,53
honeywell,330,1000,3000,0,2,4,23
honeywell,300,1000,4000,8,3,64,30
honeywell,300,1000,16000,8,2,112,73
honeywell,330,1000,2000,0,1,2,20
honeywell,330,1000,4000,0,3,6,25
honeywell,140,2000,4000,0,3,6,28
honeywell,140,2000,4000,0,4,8,29
honeywell,140,2000,4000,8,1,20,32
honeywell,140,2000,32000,32,1,20,175
honeywell,140,2000,8000,32,1,54,57
honeywell,140,2000,32000,32,1,54,181
honeywell,140,2000,32000,32,1,54,181
honeywell,140,2000,4000,8,1,20,32
ibm,57,4000,16000,1,6,12,82
ibm,57,4000,24000,64,12,16,171
ibm,26,16000,32000,64,16,24,361
ibm,26,16000,32000,64,8,24,350
ibm,26,8000,32000,0,8,24,220
ibm,26,8000,16000,0,8,16,113
ibm,480,96,512,0,1,1,15
ibm,203,1000,2000,0,1,5,21
ibm,115,512,6000,16,1,6,35
ibm,1100,512,1500,0,1,1,18
ibm,1100,768,2000,0,1,1,20
ibm,600,768,2000,0,1,1,20
ibm,400,2000,4000,0,1,1,28
ibm,400,4000,8000,0,1,1,45
ibm,900,1000,1000,0,1,2,18
ibm,900,512,1000,0,1,2,17
ibm,900,1000,4000,4,1,2,26
ibm,900,1000,4000,8,1,2,28
ibm,900,2000,4000,0,3,6,28
ibm,225,2000,4000,8,3,6,31
ibm,225,2000,4000,8,3,6,31
ibm,180,2000,8000,8,1,6,42
ibm,185,2000,16000,16,1,6,76
ibm,180,2000,16000,16,1,6,76
ibm,225,1000,4000,2,3,6,26
ibm,25,2000,12000,8,1,4,59
ibm,25,2000,12000,16,3,5,65
ibm,17,4000,16000,8,6,12,101
ibm,17,4000,16000,32,6,12,116
ibm,1500,768,1000,0,0,0,18
ibm,1500,768,2000,0,0,0,20
ibm,800,768,2000,0,0,0,20
ipl,50,2000,4000,0,3,6,30
ipl,50,2000,8000,8,3,6,44
ipl,50,2000,8000,8,1,6,44
ipl,50,2000,16000,24,1,6,82
ipl,50,2000,16000,24,1,6,82
ipl,50,8000,16000,48,1,10,128
magnuson,100,1000,8000,0,2,6,37
magnuson,100,1000,8000,24,2,6,46
magnuson,100,1000,8000,24,3,6,46
magnuson,50,2000,16000,12,3,16,80
magnuson,50,2000,16000,24,6,16,88
magnuson,50,2000,16000,24,6,16,88
microdata,150,512,4000,0,8,128,33
nas,115,2000,8000,16,1,3,46
nas,115,2000,4000,2,1,5,29
nas,92,2000,8000,32,1,6,53
nas,92,2000,8000,32,1,6,53
nas,92,2000,8000,4,1,6,41
nas,75,4000,16000,16,1,6,86
nas,60,4000,16000,32,1,6,95
nas,60,2000,16000,64,5,8,107
nas,60,4000,16000,64,5,8,117
nas,50,4000,16000,64,5,10,119
nas,72,4000,16000,64,8,16,120
nas,72,2000,8000,16,6,8,48
nas,40,8000,16000,32,8,16,126
nas,40,8000,32000,64,8,24,266
nas,35,8000,32000,64,8,24,270
nas,38,16000,32000,128,16,32,426
nas,48,4000,24000,32,8,24,151
nas,38,8000,32000,64,8,24,267
nas,30,16000,32000,256,16,24,603
ncr,112,1000,1000,0,1,4,19
ncr,84,1000,2000,0,1,6,21
ncr,56,1000,4000,0,1,6,26
ncr,56,2000,6000,0,1,8,35
ncr,56,2000,8000,0,1,8,41
ncr,56,4000,8000,0,1,8,47
ncr,56,4000,12000,0,1,8,62
ncr,56,4000,16000,0,1,8,78
ncr,38,4000,8000,32,16,32,80
ncr,38,4000,8000,32,16,32,80
ncr,38,8000,16000,64,4,8,142
ncr,38,8000,24000,160,4,8,281
ncr,38,4000,16000,128,16,32,190
nixdorf,200,1000,2000,0,1,2,21
nixdorf,200,1000,4000,0,1,4,25
nixdorf,200,2000,8000,64,1,5,67
perkin-elmer,250,512,4000,0,1,7,24
perkin-elmer,250,512,4000,0,4,7,24
perkin-elmer,250,1000,16000,1,1,8,64
prime,160,512,4000,2,1,5,25
prime,160,512,2000,2,3,8,20
prime,160,1000,4000,8,1,14,29
prime,160,1000,8000,16,1,14,43
prime,160,2000,8000,32,1,13,53
siemens,240,512,1000,8,1,3,19
siemens,240,512,2000,8,1,5,22
siemens,105,2000,4000,8,3,8,31
siemens,105,2000,6000,16,6,16,41
siemens,105,2000,8000,16,4,14,47
siemens,52,4000,16000,32,4,12,99
siemens,70,4000,12000,8,6,8,67
siemens,59,4000,12000,32,6,12,81
siemens,59,8000,16000,64,12,24,149
siemens,26,8000,24000,32,8,16,183
siemens,26,8000,32000,64,12,16,275
siemens,26,8000,32000,128,24,32,382
sperry,116,2000,8000,32,5,28,56
sperry,50,2000,32000,24,6,26,182
sperry,50,2000,32000,48,26,52,227
sperry,50,2000,32000,112,52,104,341
sperry,50,4000,32000,112,52,104,360
sperry,30,8000,64000,96,12,176,919
sperry,30,8000,64000,128,12,176,978
sperry,180,262,4000,0,1,3,24
sperry,180,512,4000,0,1,3,24
sperry,180,262,4000,0,1,3,24
sperry,180,512,4000,0,1,3,24
sperry,124,1000,8000,0,1,8,37
sperry,98,1000,8000,32,2,8,50
sratus,125,2000,8000,0,2,14,41
wang,480,512,8000,32,0,0,47
wang,480,1000,4000,0,0,0,25