HDF  Pl` TREEHEAPX datadata_descr8 0name'autoMpg.names' (mldata0 0comment !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 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  TREEHEAPX @double1int0int28SNOD   ?@4 48p LSNOD(@'@&@(@%@$@"@!@$@!@$@ @#@$@.@/@/@0@-@4@1@-@1@)@.@,@.@+@2@-@/@,@3@*@/@/@/@/@(@'@+@*@'@(@(@+@3@.@-@,@,@3@-@3@2@3@4@/@1@7@3@0@(@(@+@*@'@&@+@+@)@+@)@,@0@,@-@2@3@2@0@1@-@.@0@*@'@*@-@)@'@(@*@-@&@&@&@0@2@0@0@0@5@,@)@*@)@.@3@3@0@+@2@,@/@*@#@3@/@,@/@&@,@+@&@0@1@0@1@3@0@5@1@1@2@0@,@-@+@0@/@0@/@-@0@3@-@/@,@.@/@0@0@0@5@3@'@,@-@+@5@2@3@3@.@+@(@0@1@0@2@+@0@1@-@,@1@.@1@-@+@1@/@fffff0@-@333331@.@*@*@+@)@.@-@1@1@3333336@6@ffffff,@ffffff1@333331@5@3333330@1@ffffff(@1@ffffff0@333333+@ffffff/@ffffff*@fffff5@/@333330@333333(@(@.@,@2@-@2@/@0@)@3@ffffff+@-@ffffff0@fffff0@333331@3@333333&@&@ffffff(@-@-@0@3333332@/@1@/@ffffff0@333333,@-@)@+@5@,@ffffff3@2@ffffff0@/@ffffff*@)@3333333@3333332@/@.@3333331@3333331@/@333330@333332@333333.@ffffff*@*@ffffff&@ffffff+@0@ffffff,@ffffff-@-@-@333330@1@-@/@333333+@ffffff/@/@-@0@.@3333332@L1@3333332@0@.@*@ffffff*@ffffff.@-@,@.@*@,@ffffff.@,@.@4@ffffff1@8@3333336@ffffff*@-@3333333@ffffff-@0@&@)@ffffff*@ffffff-@2@/@ffffff0@0@2@4@333332@/@/@1@.@ffffff.@fffff1@,@3333333@333335@333337@fffff3@5@+@L1@2@.@&@)@333333.@,@1@ffffff/@ffffff0@,@333333)@)@fffff0@ffffff0@0@1@ffffff3@L1@0@-@3333330@333334@ffffff,@/@,@0@-@L2@ffffff4@3@333333)@+@/@3@1@0@3@2@2@3333330@0@2@ffffff0@4@.@3333332@1@ffffff-@L1@-@-@fffff0@.@ffffff/@3333330@ffffff0@1@-@ffffff-@+@*@L1@333333/@8@333333'@2@ffffff3@ &L ?L #TREE$ HEAPX(0#namesorderingtypes00RLSNOD#0j @k0Z 0Z 0Z 0Z0Z0Z0Z0Z .0Z 0Z0Z3^>0.Tqaankhyh3>0aqb^_>ztOXGHa[qaaz^>_0^^F03.>yyx`zaxba^0^.>_>hah^alFzb^Dtry>y^OzG.^>.0bOaLSZZtxlO^>_.aZwZsxyy[ktbe1>0_UbZ[aUa>x^^.>boOzU1>.^_aabbaayPZbNU[>.1.>bwiwyYb1._>^_ hYVby^iiU[bYbVaxwlVUZZy[UaYFzkOVQaUY[ibbidklwx^ppppi[[ibxkl[[[axw__aUX.WZ_qZXZ_didXdnHdXVZFLAE<F_P6ZVapLWEV\aPXiddX_.dXH^ZUkZ1K[pnz_ddCPAKdniSCN4=KKKa]C_iHHnin_nnKSdN`GaaFZ_Xbs5VQ\OSxdiQZ4<F5dNn_GFKHfXlxDP:`FnnidbNXKY?SCNann0B4F<ni_UXdZiUnxD_aK_iUag}sGDsUXZn}GAPPM}GZFFAEZssZL<FAZXZZNZK\KAiA00CCCC>dXHTT\nT:@<CA>D?AAJKKdJPLtxniXUXXXUTZ\JDD?FXKFCCCnU\p`TZV4TOR ml i y I   D   R+p ~ G X |RJ o  qp:[ h C KM*Nh !'!XhF 4u [  t4XXp W1 X *. a K L Kn 4 G d P ; U   , 0-[iqM< W  h V <X1C9 a {O b   o   w^zw  tC =y !k N d r k!(, a . |E   ( %  S f 4 $R a u k  ' e  D R W J sd{n <v \ fRn # `Hv 6 5  > >% :+a5^ t Y  K < Q SL  . 7 K X T r W  - P [  1 MMp   i B RA FFFFFFFFFFFFFFFFFFFFFFFFFFFFFGGGGGGGGGGGGGGGGGGGGGGGGGGGGHHHHHHHHHHHHHHHHHHHHHHHHHHHHIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIIJJJJJJJJJJJJJJJJJJJJJJJJJJJKKKKKKKKKKKKKKKKKKKKKKKKKKKKKKLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLLMMMMMMMMMMMMMMMMMMMMMMMMMMMMNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNNOOOOOOOOOOOOOOOOOOOOOOOOOOOOOPPPPPPPPPPPPPPPPPPPPPPPPPPPPPQQQQQQQQQQQQQQQQQQQQQQQQQQQQQRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR  #             !!   $!!+$ '$"#""%!)& %"% .(,+$,(! # ''# %%"""!"! "$%&$$$"& && $,  0Z 0Z 0Z0Z 0Z0Z0Z0ZGCOL accelerationmodeloriginclass horsepowerweight displacement cylinders int2 double1 int0 numeric .nominal:70,71,72,73,74,75,76,77,78,79,80,81,82 nominal:1,3,2numericnumericnumericnumericnominal:8,4,6,3,5 %0L&L