% % !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! % % All nominal attributes and instances with missing values are deleted. % Price treated as the class attribute. % % 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: 1985 Auto Imports Database % % 2. Source Information: % -- Creator/Donor: Jeffrey C. Schlimmer (Jeffrey.Schlimmer@a.gp.cs.cmu.edu) % -- Date: 19 May 1987 % -- Sources: % 1) 1985 Model Import Car and Truck Specifications, 1985 Ward's % Automotive Yearbook. % 2) Personal Auto Manuals, Insurance Services Office, 160 Water % Street, New York, NY 10038 % 3) Insurance Collision Report, Insurance Institute for Highway % Safety, Watergate 600, Washington, DC 20037 % % 3. Past Usage: % -- Kibler,~D., Aha,~D.~W., \& Albert,~M. (1989). Instance-based prediction % of real-valued attributes. {\it Computational Intelligence}, {\it 5}, % 51--57. % -- Predicted price of car using all numeric and Boolean attributes % -- Method: an instance-based learning (IBL) algorithm derived from a % localized k-nearest neighbor algorithm. Compared with a % linear regression prediction...so all instances % with missing attribute values were discarded. This resulted with % a training set of 159 instances, which was also used as a test % set (minus the actual instance during testing). % -- Results: Percent Average Deviation Error of Prediction from Actual % -- 11.84% for the IBL algorithm % -- 14.12% for the resulting linear regression equation % % 4. Relevant Information: % -- Description % This data set consists of three types of entities: (a) the % specification of an auto in terms of various characteristics, (b) % its assigned insurance risk rating, (c) its normalized losses in use % as compared to other cars. The second rating corresponds to the % degree to which the auto is more risky than its price indicates. % Cars are initially assigned a risk factor symbol associated with its % price. Then, if it is more risky (or less), this symbol is % adjusted by moving it up (or down) the scale. Actuarians call this % process "symboling". A value of +3 indicates that the auto is % risky, -3 that it is probably pretty safe. % % The third factor is the relative average loss payment per insured % vehicle year. This value is normalized for all autos within a % particular size classification (two-door small, station wagons, % sports/speciality, etc...), and represents the average loss per car % per year. % % -- Note: Several of the attributes in the database could be used as a % "class" attribute. % % 5. Number of Instances: 205 % % 6. Number of Attributes: 26 total % -- 15 continuous % -- 1 integer % -- 10 nominal % % 7. Attribute Information: % Attribute: Attribute Range: % ------------------ ----------------------------------------------- % 1. symboling: -3, -2, -1, 0, 1, 2, 3. % 2. normalized-losses: continuous from 65 to 256. % 3. make: alfa-romero, audi, bmw, chevrolet, dodge, honda, % isuzu, jaguar, mazda, mercedes-benz, mercury, % mitsubishi, nissan, peugot, plymouth, porsche, % renault, saab, subaru, toyota, volkswagen, volvo % 4. fuel-type: diesel, gas. % 5. aspiration: std, turbo. % 6. num-of-doors: four, two. % 7. body-style: hardtop, wagon, sedan, hatchback, convertible. % 8. drive-wheels: 4wd, fwd, rwd. % 9. engine-location: front, rear. % 10. wheel-base: continuous from 86.6 120.9. % 11. length: continuous from 141.1 to 208.1. % 12. width: continuous from 60.3 to 72.3. % 13. height: continuous from 47.8 to 59.8. % 14. curb-weight: continuous from 1488 to 4066. % 15. engine-type: dohc, dohcv, l, ohc, ohcf, ohcv, rotor. % 16. num-of-cylinders: eight, five, four, six, three, twelve, two. % 17. engine-size: continuous from 61 to 326. % 18. fuel-system: 1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi. % 19. bore: continuous from 2.54 to 3.94. % 20. stroke: continuous from 2.07 to 4.17. % 21. compression-ratio: continuous from 7 to 23. % 22. horsepower: continuous from 48 to 288. % 23. peak-rpm: continuous from 4150 to 6600. % 24. city-mpg: continuous from 13 to 49. % 25. highway-mpg: continuous from 16 to 54. % 26. price: continuous from 5118 to 45400. % % 8. Missing Attribute Values: (denoted by "?") % Attribute #: Number of instances missing a value: % 2. 41 % 6. 2 % 19. 4 % 20. 4 % 22. 2 % 23. 2 % 26. 4% % @relation 'autoPrice.names' @attribute 'symboling' real @attribute 'normalized-losses' real @attribute 'wheel-base' real @attribute 'length' real @attribute 'width' real @attribute 'height' real @attribute 'curb-weight' real @attribute 'engine-size' real @attribute 'bore' real @attribute 'stroke' real @attribute 'compression-ratio' real @attribute 'horsepower' real @attribute 'peak-rpm' real @attribute 'city-mpg' real @attribute 'highway-mpg' real @attribute 'class' real @data 2,164,99.8,176.6,66.2,54.3,2337,109,3.19,3.4,10,102,5500,24,30,13950 2,164,99.4,176.6,66.4,54.3,2824,136,3.19,3.4,8,115,5500,18,22,17450 1,158,105.8,192.7,71.4,55.7,2844,136,3.19,3.4,8.5,110,5500,19,25,17710 1,158,105.8,192.7,71.4,55.9,3086,131,3.13,3.4,8.3,140,5500,17,20,23875 2,192,101.2,176.8,64.8,54.3,2395,108,3.5,2.8,8.8,101,5800,23,29,16430 0,192,101.2,176.8,64.8,54.3,2395,108,3.5,2.8,8.8,101,5800,23,29,16925 0,188,101.2,176.8,64.8,54.3,2710,164,3.31,3.19,9,121,4250,21,28,20970 0,188,101.2,176.8,64.8,54.3,2765,164,3.31,3.19,9,121,4250,21,28,21105 2,121,88.4,141.1,60.3,53.2,1488,61,2.91,3.03,9.5,48,5100,47,53,5151 1,98,94.5,155.9,63.6,52,1874,90,3.03,3.11,9.6,70,5400,38,43,6295 0,81,94.5,158.8,63.6,52,1909,90,3.03,3.11,9.6,70,5400,38,43,6575 1,118,93.7,157.3,63.8,50.8,1876,90,2.97,3.23,9.41,68,5500,37,41,5572 1,118,93.7,157.3,63.8,50.8,1876,90,2.97,3.23,9.4,68,5500,31,38,6377 1,118,93.7,157.3,63.8,50.8,2128,98,3.03,3.39,7.6,102,5500,24,30,7957 1,148,93.7,157.3,63.8,50.6,1967,90,2.97,3.23,9.4,68,5500,31,38,6229 1,148,93.7,157.3,63.8,50.6,1989,90,2.97,3.23,9.4,68,5500,31,38,6692 1,148,93.7,157.3,63.8,50.6,1989,90,2.97,3.23,9.4,68,5500,31,38,7609 -1,110,103.3,174.6,64.6,59.8,2535,122,3.34,3.46,8.5,88,5000,24,30,8921 3,145,95.9,173.2,66.3,50.2,2811,156,3.6,3.9,7,145,5000,19,24,12964 2,137,86.6,144.6,63.9,50.8,1713,92,2.91,3.41,9.6,58,4800,49,54,6479 2,137,86.6,144.6,63.9,50.8,1819,92,2.91,3.41,9.2,76,6000,31,38,6855 1,101,93.7,150,64,52.6,1837,79,2.91,3.07,10.1,60,5500,38,42,5399 1,101,93.7,150,64,52.6,1940,92,2.91,3.41,9.2,76,6000,30,34,6529 1,101,93.7,150,64,52.6,1956,92,2.91,3.41,9.2,76,6000,30,34,7129 0,110,96.5,163.4,64,54.5,2010,92,2.91,3.41,9.2,76,6000,30,34,7295 0,78,96.5,157.1,63.9,58.3,2024,92,2.92,3.41,9.2,76,6000,30,34,7295 0,106,96.5,167.5,65.2,53.3,2236,110,3.15,3.58,9,86,5800,27,33,7895 0,106,96.5,167.5,65.2,53.3,2289,110,3.15,3.58,9,86,5800,27,33,9095 0,85,96.5,175.4,65.2,54.1,2304,110,3.15,3.58,9,86,5800,27,33,8845 0,85,96.5,175.4,62.5,54.1,2372,110,3.15,3.58,9,86,5800,27,33,10295 0,85,96.5,175.4,65.2,54.1,2465,110,3.15,3.58,9,101,5800,24,28,12945 1,107,96.5,169.1,66,51,2293,110,3.15,3.58,9.1,100,5500,25,31,10345 0,145,113,199.6,69.6,52.8,4066,258,3.63,4.17,8.1,176,4750,15,19,32250 1,104,93.1,159.1,64.2,54.1,1890,91,3.03,3.15,9,68,5000,30,31,5195 1,104,93.1,159.1,64.2,54.1,1900,91,3.03,3.15,9,68,5000,31,38,6095 1,104,93.1,159.1,64.2,54.1,1905,91,3.03,3.15,9,68,5000,31,38,6795 1,113,93.1,166.8,64.2,54.1,1945,91,3.03,3.15,9,68,5000,31,38,6695 1,113,93.1,166.8,64.2,54.1,1950,91,3.08,3.15,9,68,5000,31,38,7395 1,129,98.8,177.8,66.5,53.7,2385,122,3.39,3.39,8.6,84,4800,26,32,8845 0,115,98.8,177.8,66.5,55.5,2410,122,3.39,3.39,8.6,84,4800,26,32,8495 1,129,98.8,177.8,66.5,53.7,2385,122,3.39,3.39,8.6,84,4800,26,32,10595 0,115,98.8,177.8,66.5,55.5,2410,122,3.39,3.39,8.6,84,4800,26,32,10245 0,115,98.8,177.8,66.5,55.5,2425,122,3.39,3.39,8.6,84,4800,26,32,11245 0,118,104.9,175,66.1,54.4,2670,140,3.76,3.16,8,120,5000,19,27,18280 -1,93,110,190.9,70.3,56.5,3515,183,3.58,3.64,21.5,123,4350,22,25,25552 -1,93,110,190.9,70.3,58.7,3750,183,3.58,3.64,21.5,123,4350,22,25,28248 0,93,106.7,187.5,70.3,54.9,3495,183,3.58,3.64,21.5,123,4350,22,25,28176 -1,93,115.6,202.6,71.7,56.3,3770,183,3.58,3.64,21.5,123,4350,22,25,31600 3,142,96.6,180.3,70.5,50.8,3685,234,3.46,3.1,8.3,155,4750,16,18,35056 2,161,93.7,157.3,64.4,50.8,1918,92,2.97,3.23,9.4,68,5500,37,41,5389 2,161,93.7,157.3,64.4,50.8,1944,92,2.97,3.23,9.4,68,5500,31,38,6189 2,161,93.7,157.3,64.4,50.8,2004,92,2.97,3.23,9.4,68,5500,31,38,6669 1,161,93,157.3,63.8,50.8,2145,98,3.03,3.39,7.6,102,5500,24,30,7689 3,153,96.3,173,65.4,49.4,2370,110,3.17,3.46,7.5,116,5500,23,30,9959 3,153,96.3,173,65.4,49.4,2328,122,3.35,3.46,8.5,88,5000,25,32,8499 1,125,96.3,172.4,65.4,51.6,2365,122,3.35,3.46,8.5,88,5000,25,32,6989 1,125,96.3,172.4,65.4,51.6,2405,122,3.35,3.46,8.5,88,5000,25,32,8189 1,125,96.3,172.4,65.4,51.6,2403,110,3.17,3.46,7.5,116,5500,23,30,9279 -1,137,96.3,172.4,65.4,51.6,2403,110,3.17,3.46,7.5,116,5500,23,30,9279 1,128,94.5,165.3,63.8,54.5,1889,97,3.15,3.29,9.4,69,5200,31,37,5499 1,128,94.5,165.3,63.8,54.5,2017,103,2.99,3.47,21.9,55,4800,45,50,7099 1,128,94.5,165.3,63.8,54.5,1918,97,3.15,3.29,9.4,69,5200,31,37,6649 1,122,94.5,165.3,63.8,54.5,1938,97,3.15,3.29,9.4,69,5200,31,37,6849 1,103,94.5,170.2,63.8,53.5,2024,97,3.15,3.29,9.4,69,5200,31,37,7349 1,128,94.5,165.3,63.8,54.5,1951,97,3.15,3.29,9.4,69,5200,31,37,7299 1,128,94.5,165.6,63.8,53.3,2028,97,3.15,3.29,9.4,69,5200,31,37,7799 1,122,94.5,165.3,63.8,54.5,1971,97,3.15,3.29,9.4,69,5200,31,37,7499 1,103,94.5,170.2,63.8,53.5,2037,97,3.15,3.29,9.4,69,5200,31,37,7999 2,168,95.1,162.4,63.8,53.3,2008,97,3.15,3.29,9.4,69,5200,31,37,8249 0,106,97.2,173.4,65.2,54.7,2324,120,3.33,3.47,8.5,97,5200,27,34,8949 0,106,97.2,173.4,65.2,54.7,2302,120,3.33,3.47,8.5,97,5200,27,34,9549 0,128,100.4,181.7,66.5,55.1,3095,181,3.43,3.27,9,152,5200,17,22,13499 0,108,100.4,184.6,66.5,56.1,3296,181,3.43,3.27,9,152,5200,17,22,14399 0,108,100.4,184.6,66.5,55.1,3060,181,3.43,3.27,9,152,5200,19,25,13499 3,194,91.3,170.7,67.9,49.7,3071,181,3.43,3.27,9,160,5200,19,25,17199 3,194,91.3,170.7,67.9,49.7,3139,181,3.43,3.27,7.8,200,5200,17,23,19699 1,231,99.2,178.5,67.9,49.7,3139,181,3.43,3.27,9,160,5200,19,25,18399 0,161,107.9,186.7,68.4,56.7,3020,120,3.46,3.19,8.4,97,5000,19,24,11900 0,161,107.9,186.7,68.4,56.7,3197,152,3.7,3.52,21,95,4150,28,33,13200 0,161,107.9,186.7,68.4,56.7,3075,120,3.46,2.19,8.4,95,5000,19,24,15580 0,161,107.9,186.7,68.4,56.7,3252,152,3.7,3.52,21,95,4150,28,33,16900 0,161,107.9,186.7,68.4,56.7,3075,120,3.46,3.19,8.4,97,5000,19,24,16630 0,161,107.9,186.7,68.4,56.7,3252,152,3.7,3.52,21,95,4150,28,33,17950 0,161,108,186.7,68.3,56,3130,134,3.61,3.21,7,142,5600,18,24,18150 1,119,93.7,157.3,63.8,50.8,1918,90,2.97,3.23,9.4,68,5500,37,41,5572 1,119,93.7,157.3,63.8,50.8,2128,98,3.03,3.39,7.6,102,5500,24,30,7957 1,154,93.7,157.3,63.8,50.6,1967,90,2.97,3.23,9.4,68,5500,31,38,6229 1,154,93.7,167.3,63.8,50.8,1989,90,2.97,3.23,9.4,68,5500,31,38,6692 1,154,93.7,167.3,63.8,50.8,2191,98,2.97,3.23,9.4,68,5500,31,38,7609 -1,74,103.3,174.6,64.6,59.8,2535,122,3.35,3.46,8.5,88,5000,24,30,8921 3,186,94.5,168.9,68.3,50.2,2778,151,3.94,3.11,9.5,143,5500,19,27,22018 3,150,99.1,186.6,66.5,56.1,2658,121,3.54,3.07,9.31,110,5250,21,28,11850 2,104,99.1,186.6,66.5,56.1,2695,121,3.54,3.07,9.3,110,5250,21,28,12170 3,150,99.1,186.6,66.5,56.1,2707,121,2.54,2.07,9.3,110,5250,21,28,15040 2,104,99.1,186.6,66.5,56.1,2758,121,3.54,3.07,9.3,110,5250,21,28,15510 3,150,99.1,186.6,66.5,56.1,2808,121,3.54,3.07,9,160,5500,19,26,18150 2,104,99.1,186.6,66.5,56.1,2847,121,3.54,3.07,9,160,5500,19,26,18620 2,83,93.7,156.9,63.4,53.7,2050,97,3.62,2.36,9,69,4900,31,36,5118 2,83,93.7,157.9,63.6,53.7,2120,108,3.62,2.64,8.7,73,4400,26,31,7053 2,83,93.3,157.3,63.8,55.7,2240,108,3.62,2.64,8.7,73,4400,26,31,7603 0,102,97.2,172,65.4,52.5,2145,108,3.62,2.64,9.5,82,4800,32,37,7126 0,102,97.2,172,65.4,52.5,2190,108,3.62,2.64,9.5,82,4400,28,33,7775 0,102,97.2,172,65.4,52.5,2340,108,3.62,2.64,9,94,5200,26,32,9960 0,102,97,172,65.4,54.3,2385,108,3.62,2.64,9,82,4800,24,25,9233 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