%
% !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
%
% Identifier attribute 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: Auto-Mpg Data
% 
% 2. Sources:
%    (a) Origin:  This dataset was taken from the StatLib library which is
%                 maintained at Carnegie Mellon University. The dataset was 
%                 used in the 1983 American Statistical Association Exposition.
%    (c) Date: July 7, 1993
% 
% 3. Past Usage:
%     -  See 2b (above)
%     -  Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
%        In Proceedings on the Tenth International Conference of Machine 
%        Learning, 236-243, University of Massachusetts, Amherst. Morgan
%        Kaufmann.
% 
% 4. Relevant Information:
% 
%    This dataset is a slightly modified version of the dataset provided in
%    the StatLib library.  In line with the use by Ross Quinlan (1993) in
%    predicting the attribute "mpg", 8 of the original instances were removed 
%    because they had unknown values for the "mpg" attribute.  The original 
%    dataset is available in the file "auto-mpg.data-original".
% 
%    "The data concerns city-cycle fuel consumption in miles per gallon,
%     to be predicted in terms of 3 multivalued discrete and 5 continuous
%     attributes." (Quinlan, 1993)
% 
% 5. Number of Instances: 398
% 
% 6. Number of Attributes: 9 including the class attribute
% 
% 7. Attribute Information:
% 
%     1. mpg:           continuous
%     2. cylinders:     multi-valued discrete
%     3. displacement:  continuous
%     4. horsepower:    continuous
%     5. weight:        continuous
%     6. acceleration:  continuous
%     7. model year:    multi-valued discrete
%     8. origin:        multi-valued discrete
%     9. car name:      string (unique for each instance)
% 
% 8. Missing Attribute Values:  horsepower has 6 missing values
% 

@relation 'autoMpg.names'
@attribute cylinders { 8, 4, 6, 3, 5}
@attribute displacement real
@attribute horsepower real
@attribute weight real
@attribute acceleration real
@attribute model { 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82}
@attribute origin { 1, 3, 2}
@attribute class real
@data
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8,350,165,3693,11.5,70,1,15
8,318,150,3436,11,70,1,18
8,304,150,3433,12,70,1,16
8,302,140,3449,10.5,70,1,17
8,429,198,4341,10,70,1,15
8,454,220,4354,9,70,1,14
8,440,215,4312,8.5,70,1,14
8,455,225,4425,10,70,1,14
8,390,190,3850,8.5,70,1,15
8,383,170,3563,10,70,1,15
8,340,160,3609,8,70,1,14
8,400,150,3761,9.5,70,1,15
8,455,225,3086,10,70,1,14
4,113,95,2372,15,70,3,24
6,198,95,2833,15.5,70,1,22
6,199,97,2774,15.5,70,1,18
6,200,85,2587,16,70,1,21
4,97,88,2130,14.5,70,3,27
4,97,46,1835,20.5,70,2,26
4,110,87,2672,17.5,70,2,25
4,107,90,2430,14.5,70,2,24
4,104,95,2375,17.5,70,2,25
4,121,113,2234,12.5,70,2,26
6,199,90,2648,15,70,1,21
8,360,215,4615,14,70,1,10
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8,318,210,4382,13.5,70,1,11
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4,140,90,2264,15.5,71,1,28
4,113,95,2228,14,71,3,25
4,98,?,2046,19,71,1,25
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4,91,70,1955,20.5,71,1,26
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4,97.5,80,2126,17,72,1,25
4,97,54,2254,23.5,72,2,23
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4,122,86,2226,16.5,72,1,21
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8,350,155,4502,13.5,72,1,13
8,350,160,4456,13.5,72,1,12
8,400,190,4422,12.5,72,1,13
3,70,97,2330,13.5,72,3,19
8,304,150,3892,12.5,72,1,15
8,307,130,4098,14,72,1,13
8,302,140,4294,16,72,1,13
8,318,150,4077,14,72,1,14
4,121,112,2933,14.5,72,2,18
4,121,76,2511,18,72,2,22
4,120,87,2979,19.5,72,2,21
4,96,69,2189,18,72,2,26
4,122,86,2395,16,72,1,22
4,97,92,2288,17,72,3,28
4,120,97,2506,14.5,72,3,23
4,98,80,2164,15,72,1,28
4,97,88,2100,16.5,72,3,27
8,350,175,4100,13,73,1,13
8,304,150,3672,11.5,73,1,14
8,350,145,3988,13,73,1,13
8,302,137,4042,14.5,73,1,14
8,318,150,3777,12.5,73,1,15
8,429,198,4952,11.5,73,1,12
8,400,150,4464,12,73,1,13
8,351,158,4363,13,73,1,13
8,318,150,4237,14.5,73,1,14
8,440,215,4735,11,73,1,13
8,455,225,4951,11,73,1,12
8,360,175,3821,11,73,1,13
6,225,105,3121,16.5,73,1,18
6,250,100,3278,18,73,1,16
6,232,100,2945,16,73,1,18
6,250,88,3021,16.5,73,1,18
6,198,95,2904,16,73,1,23
4,97,46,1950,21,73,2,26
8,400,150,4997,14,73,1,11
8,400,167,4906,12.5,73,1,12
8,360,170,4654,13,73,1,13
8,350,180,4499,12.5,73,1,12
6,232,100,2789,15,73,1,18
4,97,88,2279,19,73,3,20
4,140,72,2401,19.5,73,1,21
4,108,94,2379,16.5,73,3,22
3,70,90,2124,13.5,73,3,18
4,122,85,2310,18.5,73,1,19
6,155,107,2472,14,73,1,21
4,98,90,2265,15.5,73,2,26
8,350,145,4082,13,73,1,15
8,400,230,4278,9.5,73,1,16
4,68,49,1867,19.5,73,2,29
4,116,75,2158,15.5,73,2,24
4,114,91,2582,14,73,2,20
4,121,112,2868,15.5,73,2,19
8,318,150,3399,11,73,1,15
4,121,110,2660,14,73,2,24
6,156,122,2807,13.5,73,3,20
8,350,180,3664,11,73,1,11
6,198,95,3102,16.5,74,1,20
6,200,?,2875,17,74,1,21
6,232,100,2901,16,74,1,19
6,250,100,3336,17,74,1,15
4,79,67,1950,19,74,3,31
4,122,80,2451,16.5,74,1,26
4,71,65,1836,21,74,3,32
4,140,75,2542,17,74,1,25
6,250,100,3781,17,74,1,16
6,258,110,3632,18,74,1,16
6,225,105,3613,16.5,74,1,18
8,302,140,4141,14,74,1,16
8,350,150,4699,14.5,74,1,13
8,318,150,4457,13.5,74,1,14
8,302,140,4638,16,74,1,14
8,304,150,4257,15.5,74,1,14
4,98,83,2219,16.5,74,2,29
4,79,67,1963,15.5,74,2,26
4,97,78,2300,14.5,74,2,26
4,76,52,1649,16.5,74,3,31
4,83,61,2003,19,74,3,32
4,90,75,2125,14.5,74,1,28
4,90,75,2108,15.5,74,2,24
4,116,75,2246,14,74,2,26
4,120,97,2489,15,74,3,24
4,108,93,2391,15.5,74,3,26
4,79,67,2000,16,74,2,31
6,225,95,3264,16,75,1,19
6,250,105,3459,16,75,1,18
6,250,72,3432,21,75,1,15
6,250,72,3158,19.5,75,1,15
8,400,170,4668,11.5,75,1,16
8,350,145,4440,14,75,1,15
8,318,150,4498,14.5,75,1,16
8,351,148,4657,13.5,75,1,14
6,231,110,3907,21,75,1,17
6,250,105,3897,18.5,75,1,16
6,258,110,3730,19,75,1,15
6,225,95,3785,19,75,1,18
6,231,110,3039,15,75,1,21
8,262,110,3221,13.5,75,1,20
8,302,129,3169,12,75,1,13
4,97,75,2171,16,75,3,29
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6,232,100,2914,16,75,1,20
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4,134,96,2702,13.5,75,3,24
4,90,71,2223,16.5,75,2,25
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4,116,81,2220,16.9,76,2,25
4,140,92,2572,14.9,76,1,25
4,98,79,2255,17.7,76,1,26
4,101,83,2202,15.3,76,2,27
8,305,140,4215,13,76,1,17.5
8,318,150,4190,13,76,1,16
8,304,120,3962,13.9,76,1,15.5
8,351,152,4215,12.8,76,1,14.5
6,225,100,3233,15.4,76,1,22
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6,200,81,3012,17.6,76,1,24
6,232,90,3085,17.6,76,1,22.5
4,85,52,2035,22.2,76,1,29
4,98,60,2164,22.1,76,1,24.5
4,90,70,1937,14.2,76,2,29
4,91,53,1795,17.4,76,3,33
6,225,100,3651,17.7,76,1,20
6,250,78,3574,21,76,1,18
6,250,110,3645,16.2,76,1,18.5
6,258,95,3193,17.8,76,1,17.5
4,97,71,1825,12.2,76,2,29.5
4,85,70,1990,17,76,3,32
4,97,75,2155,16.4,76,3,28
4,140,72,2565,13.6,76,1,26.5
4,130,102,3150,15.7,76,2,20
8,318,150,3940,13.2,76,1,13
4,120,88,3270,21.9,76,2,19
6,156,108,2930,15.5,76,3,19
6,168,120,3820,16.7,76,2,16.5
8,350,180,4380,12.1,76,1,16.5
8,350,145,4055,12,76,1,13
8,302,130,3870,15,76,1,13
8,318,150,3755,14,76,1,13
4,98,68,2045,18.5,77,3,31.5
4,111,80,2155,14.8,77,1,30
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4,122,96,2300,15.5,77,1,25.5
4,85,70,1945,16.8,77,3,33.5
8,305,145,3880,12.5,77,1,17.5
8,260,110,4060,19,77,1,17
8,318,145,4140,13.7,77,1,15.5
8,302,130,4295,14.9,77,1,15
6,250,110,3520,16.4,77,1,17.5
6,231,105,3425,16.9,77,1,20.5
6,225,100,3630,17.7,77,1,19
6,250,98,3525,19,77,1,18.5
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8,400,190,4325,12.2,77,1,15.5
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4,97,78,1940,14.5,77,2,29
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4,97,75,2265,18.2,77,3,26
4,140,89,2755,15.8,77,1,25.5
4,98,63,2051,17,77,1,30.5
4,98,83,2075,15.9,77,1,33.5
4,97,67,1985,16.4,77,3,30
4,97,78,2190,14.1,77,2,30.5
6,146,97,2815,14.5,77,3,22
4,121,110,2600,12.8,77,2,21.5
3,80,110,2720,13.5,77,3,21.5
4,90,48,1985,21.5,78,2,43.1
4,98,66,1800,14.4,78,1,36.1
4,78,52,1985,19.4,78,3,32.8
4,85,70,2070,18.6,78,3,39.4
4,91,60,1800,16.4,78,3,36.1
8,260,110,3365,15.5,78,1,19.9
8,318,140,3735,13.2,78,1,19.4
8,302,139,3570,12.8,78,1,20.2
6,231,105,3535,19.2,78,1,19.2
6,200,95,3155,18.2,78,1,20.5
6,200,85,2965,15.8,78,1,20.2
4,140,88,2720,15.4,78,1,25.1
6,225,100,3430,17.2,78,1,20.5
6,232,90,3210,17.2,78,1,19.4
6,231,105,3380,15.8,78,1,20.6
6,200,85,3070,16.7,78,1,20.8
6,225,110,3620,18.7,78,1,18.6
6,258,120,3410,15.1,78,1,18.1
8,305,145,3425,13.2,78,1,19.2
6,231,165,3445,13.4,78,1,17.7
8,302,139,3205,11.2,78,1,18.1
8,318,140,4080,13.7,78,1,17.5
4,98,68,2155,16.5,78,1,30
4,134,95,2560,14.2,78,3,27.5
4,119,97,2300,14.7,78,3,27.2
4,105,75,2230,14.5,78,1,30.9
4,134,95,2515,14.8,78,3,21.1
4,156,105,2745,16.7,78,1,23.2
4,151,85,2855,17.6,78,1,23.8
4,119,97,2405,14.9,78,3,23.9
5,131,103,2830,15.9,78,2,20.3
6,163,125,3140,13.6,78,2,17
4,121,115,2795,15.7,78,2,21.6
6,163,133,3410,15.8,78,2,16.2
4,89,71,1990,14.9,78,2,31.5
4,98,68,2135,16.6,78,3,29.5
6,231,115,3245,15.4,79,1,21.5
6,200,85,2990,18.2,79,1,19.8
4,140,88,2890,17.3,79,1,22.3
6,232,90,3265,18.2,79,1,20.2
6,225,110,3360,16.6,79,1,20.6
8,305,130,3840,15.4,79,1,17
8,302,129,3725,13.4,79,1,17.6
8,351,138,3955,13.2,79,1,16.5
8,318,135,3830,15.2,79,1,18.2
8,350,155,4360,14.9,79,1,16.9
8,351,142,4054,14.3,79,1,15.5
8,267,125,3605,15,79,1,19.2
8,360,150,3940,13,79,1,18.5
4,89,71,1925,14,79,2,31.9
4,86,65,1975,15.2,79,3,34.1
4,98,80,1915,14.4,79,1,35.7
4,121,80,2670,15,79,1,27.4
5,183,77,3530,20.1,79,2,25.4
8,350,125,3900,17.4,79,1,23
4,141,71,3190,24.8,79,2,27.2
8,260,90,3420,22.2,79,1,23.9
4,105,70,2200,13.2,79,1,34.2
4,105,70,2150,14.9,79,1,34.5
4,85,65,2020,19.2,79,3,31.8
4,91,69,2130,14.7,79,2,37.3
4,151,90,2670,16,79,1,28.4
6,173,115,2595,11.3,79,1,28.8
6,173,115,2700,12.9,79,1,26.8
4,151,90,2556,13.2,79,1,33.5
4,98,76,2144,14.7,80,2,41.5
4,89,60,1968,18.8,80,3,38.1
4,98,70,2120,15.5,80,1,32.1
4,86,65,2019,16.4,80,3,37.2
4,151,90,2678,16.5,80,1,28
4,140,88,2870,18.1,80,1,26.4
4,151,90,3003,20.1,80,1,24.3
6,225,90,3381,18.7,80,1,19.1
4,97,78,2188,15.8,80,2,34.3
4,134,90,2711,15.5,80,3,29.8
4,120,75,2542,17.5,80,3,31.3
4,119,92,2434,15,80,3,37
4,108,75,2265,15.2,80,3,32.2
4,86,65,2110,17.9,80,3,46.6
4,156,105,2800,14.4,80,1,27.9
4,85,65,2110,19.2,80,3,40.8
4,90,48,2085,21.7,80,2,44.3
4,90,48,2335,23.7,80,2,43.4
5,121,67,2950,19.9,80,2,36.4
4,146,67,3250,21.8,80,2,30
4,91,67,1850,13.8,80,3,44.6
4,85,?,1835,17.3,80,2,40.9
4,97,67,2145,18,80,3,33.8
4,89,62,1845,15.3,80,2,29.8
6,168,132,2910,11.4,80,3,32.7
3,70,100,2420,12.5,80,3,23.7
4,122,88,2500,15.1,80,2,35
4,140,?,2905,14.3,80,1,23.6
4,107,72,2290,17,80,3,32.4
4,135,84,2490,15.7,81,1,27.2
4,151,84,2635,16.4,81,1,26.6
4,156,92,2620,14.4,81,1,25.8
6,173,110,2725,12.6,81,1,23.5
4,135,84,2385,12.9,81,1,30
4,79,58,1755,16.9,81,3,39.1
4,86,64,1875,16.4,81,1,39
4,81,60,1760,16.1,81,3,35.1
4,97,67,2065,17.8,81,3,32.3
4,85,65,1975,19.4,81,3,37
4,89,62,2050,17.3,81,3,37.7
4,91,68,1985,16,81,3,34.1
4,105,63,2215,14.9,81,1,34.7
4,98,65,2045,16.2,81,1,34.4
4,98,65,2380,20.7,81,1,29.9
4,105,74,2190,14.2,81,2,33
4,100,?,2320,15.8,81,2,34.5
4,107,75,2210,14.4,81,3,33.7
4,108,75,2350,16.8,81,3,32.4
4,119,100,2615,14.8,81,3,32.9
4,120,74,2635,18.3,81,3,31.6
4,141,80,3230,20.4,81,2,28.1
6,145,76,3160,19.6,81,2,30.7
6,168,116,2900,12.6,81,3,25.4
6,146,120,2930,13.8,81,3,24.2
6,231,110,3415,15.8,81,1,22.4
8,350,105,3725,19,81,1,26.6
6,200,88,3060,17.1,81,1,20.2
6,225,85,3465,16.6,81,1,17.6
4,112,88,2605,19.6,82,1,28
4,112,88,2640,18.6,82,1,27
4,112,88,2395,18,82,1,34
4,112,85,2575,16.2,82,1,31
4,135,84,2525,16,82,1,29
4,151,90,2735,18,82,1,27
4,140,92,2865,16.4,82,1,24
4,151,?,3035,20.5,82,1,23
4,105,74,1980,15.3,82,2,36
4,91,68,2025,18.2,82,3,37
4,91,68,1970,17.6,82,3,31
4,105,63,2125,14.7,82,1,38
4,98,70,2125,17.3,82,1,36
4,120,88,2160,14.5,82,3,36
4,107,75,2205,14.5,82,3,36
4,108,70,2245,16.9,82,3,34
4,91,67,1965,15,82,3,38
4,91,67,1965,15.7,82,3,32
4,91,67,1995,16.2,82,3,38
6,181,110,2945,16.4,82,1,25
6,262,85,3015,17,82,1,38
4,156,92,2585,14.5,82,1,26
6,232,112,2835,14.7,82,1,22
4,144,96,2665,13.9,82,3,32
4,135,84,2370,13,82,1,36
4,151,90,2950,17.3,82,1,27
4,140,86,2790,15.6,82,1,27
4,97,52,2130,24.6,82,2,44
4,135,84,2295,11.6,82,1,32
4,120,79,2625,18.6,82,1,28
4,119,82,2720,19.4,82,1,31