‰HDF  ÿÿÿÿÿÿÿÿnÿÿÿÿÿÿÿÿ`ˆ¨ È TREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ¨HEAPX Èdatadata_descr8ˆ¨ (name'servo' (mldata0 H comment' 1. Title: Servo Data 2. Sources (a) Created by: Karl Ulrich (MIT) in 1986 (b) Donor: Ross Quinlan (c) Date: May 1993 3. Past Usage: 1. Quinlan, J.R., "Learning with continuous classes", Proc. 5th Australian Joint Conference on AI (eds A. Adams and L. Sterling), Singapore: World Scientific, 1992 2. Quinlan, J.R., "Combining instance-based and model-based learning", Proc. ML'93 (ed P.E. Utgoff), San Mateo: Morgan Kaufmann 1993 Results on 10-way cross-validation: Method Average Relative ------ |Err| Error ------- -------- Guessing mean 1.15 1.00 Instance-based .52 .26 Regression .86 .49 Model trees .45 .29 Neural nets (G. Hinton) .30 .11 Regression+instances .48 .20 Model trees+instances .30 .17 NN+instances .29 .11 4. Relevant Information: Ross Quinlan: This data was given to me by Karl Ulrich at MIT in 1986. I didn't record his description at the time, but here's his subsequent (1992) recollection: "I seem to remember that the data was from a simulation of a servo system involving a servo amplifier, a motor, a lead screw/nut, and a sliding carriage of some sort. It may have been on of the translational axes of a robot on the 9th floor of the AI lab. In any case, the output value is almost certainly a rise time, or the time required for the system to respond to a step change in a position set point." (Quinlan, ML'93) "This is an interesting collection of data provided by Karl Ulrich. It covers an extremely non-linear phenomenon - predicting the rise time of a servomechanism in terms of two (continuous) gain settings and two (discrete) choices of mechanical linkages." 5. Number of Instances: 167 6. Number of Attributes: 4 + numeric class attribute 7. Attribute information: 1. motor: A,B,C,D,E 2. screw: A,B,C,D,E 3. pgain: 3,4,5,6 4. vgain: 1,2,3,4,5 5. class: 0.13 to 7.10 8. Missing Attribute Values: None  0TREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿHEAPX(Pscrewdouble1int0motor0SNODè è0§Hp ~ÕL€SNOD¸-È. Ø/𸧸¦¸¥¸¢¸£¸¤¸�¸ž¸Ÿ¸ ¸¡¸“¸”¸•¸–¸—¸˜¸™¸š¸›¸œ¸~¸¸€¸�¸‚¸ƒ¸„¸…¸†¸‡¸ˆ¸‰¸Š¸‹¸Œ¸�¸Ž¸�¸�¸‘¸’¸T¸U¸V¸W¸X¸Y¸Z¸[¸\¸]¸^¸_¸`¸a¸b¸c¸d¸e¸f¸g¸h¸i¸j¸k¸l¸m¸n¸o¸p¸q¸r¸s¸t¸u¸v¸w¸x¸y¸z¸{¸|¸}¸¸¸¸¸¸¸¸¸ ¸ ¸ ¸ ¸ ¸¸¸¸¸¸¸¸¸¸¸¸¸¸¸¸¸¸¸ ¸!¸"¸#¸$¸%¸&¸'¸(¸)¸*¸+¸,¸-¸.¸/¸0¸1¸2¸3¸4¸5¸6¸7¸8¸9¸:¸;¸<¸=¸>¸?¸@¸A¸B¸C¸D¸E¸F¸G¸H¸I¸J¸K¸L¸M¸N¸O¸P¸Q¸R¸SGCOLAEEADCAE A A E D DBDBCEDBCDBBBADADAA A!C"D#A$D%B&A'A(E)A*A+C,A-B.C/D0C1E2B3D4B5B6C7E8B9E:E;E<B=C>C?A@DACBACADEEEFBGDHDIBJBKBLAMANEOCPEQDRBSATCUDVAWBXAYDZE[D\A]B^E_D`BaEbAcDdAeCfBgAhBiAjAkBlBmCnAoDpAqArBsEtCuEvCwBxDyDzA{C|E}A~DC€C�B‚CƒA„E…D†B‡EˆC‰EŠA‹CŒE�EŽC�B�D‘B’B“C”C•C–C—B˜C™CšB›EœD�AžAŸA A¡E¢A£B¤C¥D¦D§E¨E©BªE ?@4 4ÿ§¸58~ÕL€ §ð:8~ÕL€§(@p ~ÕL€103TREEÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ˜Z HEAPX(P3namesorderingtypes0¸4P~ÕL€˜J©˜J¨˜J§˜J¥˜J¦ð\ð\˜Jªð\ð\ð\ð\ð\ð\-è½1Ò?añd73à?ú´ŠþÐÌÖ?UDÝ@ú´ŠþÐÌÖ??‘'I×Ìé?ƒ}if@?‘'I×Ì@õiý¡™è?€ð?[Ð{cÞ?ޝ–;3Ù?-è½1Ò?š™™™™™ñ?añd73à?õ¡ ê[fþ?äÀ«åÎÌì?[Ð{cÞ?«B±lfá?ffffffÊ?Ø*Áâpfí?33333³ñ?[Ð{cÞ?Þu6䟙â?Þu6䟙â?ޝ–;3Ù?l•`q83@[Ð{cÞ?õ¡ ê[fþ?úÐõ-3@ú´ŠþÐÌÖ?Pª}:3@«B±lfá?«B±lfá?añd73à?š™™™™™ñ?à?ÍÌÌÌÌÌÀ?«B±lfá?ffffffÊ?ޝ–;3æ?¥÷�¯=3ì?Ø*Áâpfí?ޝ–;3Ï?[Ð{cå?€ð??‘'I×Ìé?õiý¡™Û?S"‰^f@}ZEhfæ?õiý¡™Û?äNé`ýÿ@ÍÌÌÌÌÌ@añd73à?Á6âÉnfç?ÍÌÌÌÌLò?¥÷�¯=3ì?€ð?¶„|г™@"RÓ.¦™î?Þu6䟙â?Þu6䟙â?õiý¡™Û?«B±lfá?Á6âÉnfç?añd73à?Ánض(3û?ÍÌÌÌÌÌô?«B±lfá?ޝ–;3Ù??‘'I×Ìé?-è½1Ò?«B±lfá?añd73à?ú´ŠþÐÌÖ?añd73à?-è½1Ò?äNé`ýÿ@ÍÌÌÌÌÌ@ÍÌÌÌÌÌô?Ÿ`<ƒf@añd73à?[Ð{cÞ?õiý¡™è?Þu6䟙â?[Ð{cÞ?rÄZ| ë?rÄZ| ë?añd73à?ú´ŠþÐÌÖ?ޝ–;3æ?š™™™™ñ?33333³ñ?«B±lfá?ޝ–;3Ï?añd73à?äÀ«åÎÌì?õiý¡™Û?S"‰^f@U…bÙÌï?añd73à?äNé`ýÿ@Pª}:3@ޝ–;3Ù?ޝ–;3Ï?ޝ–;3Ï?õ¡ ê[æò?ÍÌÌÌÌÌô?õiý¡™Û?Ž;¥ƒõÿ@añd73à?Á6âÉnfç?[Ð{cÞ?š™™™™ñ?Ž;¥ƒõó?rÄZ| ë?U…bÙÌï?”N$˜jfÔ?U…bÙÌï?Ž;¥ƒõÿ÷?Þu6䟙â?õiý¡™è?«B±lfá?ÍÌÌÌÌÌô?úÐõ-3@€ð?õ¡ ê[fþ?õiý¡™Û?Þu6䟙â?úÐõ-3@”N$˜jfÔ?«B±lfá?-è½1Ò?ú´ŠþÐÌÖ?[Ð{cÞ?«B±lfá?©iÓÌã?añd73à?ffffffÊ?Pª}:3@añd73à?33333³ñ?Pª}:3@?‘'I×Ìé?Pª}:3@Ž;¥ƒõÿ÷?ƒ}if@Ž;¥ƒõÿ÷?ÍÌÌÌÌÌ@¥÷�¯=3ì??‘'I×Ìé?}ZEhfæ?äÀ«åÎÌì?Ž;¥ƒõÿ÷?ޝ–;3Ï?S"‰^f@U…bÙÌï?ÍÌÌÌÌÌ@Þu6䟙â??‘'I×Ìé?(Õ>�™@[Ð{cÞ?äNé`ýÿ@ïr߉™ @"RÓ.¦™î?äNé`ýÿ@?‘'I×Ìé?˜J¤˜J£˜J¢˜JŸ˜J ˜J¡˜Jš˜J›˜Jœ˜J�˜Jž˜J�˜J‘˜J’˜J“˜J”˜J•˜J–˜J—˜J˜˜J™˜J{˜J|˜J}˜J~˜J˜J€˜J�˜J‚˜Jƒ˜J„˜J…˜J†˜J‡˜Jˆ˜J‰˜JŠ˜J‹˜JŒ˜J�˜JŽ˜J�˜JQ˜JR˜JS˜JT˜JU˜JV˜JW˜JX˜JY˜JZ˜J[˜J\˜J]˜J^˜J_˜J`˜Ja˜Jb˜Jc˜Jd˜Je˜Jf˜Jg˜Jh˜Ji˜Jj˜Jk˜Jl˜Jm˜Jn˜Jo˜Jp˜Jq˜Jr˜Js˜Jt˜Ju˜Jv˜Jw˜Jx˜Jy˜Jz¸¨¸©¸ª˜J˜J˜J˜J˜J˜J˜J˜J˜J ˜J ˜J ˜J ˜J ˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J˜J ˜J!˜J"˜J#˜J$˜J%˜J&˜J'˜J(˜J)˜J*˜J+˜J,˜J-˜J.˜J/˜J0˜J1˜J2˜J3˜J4˜J5˜J6˜J7˜J8˜J9˜J:˜J;˜J<˜J=˜J>˜J?˜J@˜JA˜JB˜JC˜JD˜JE˜JF˜JG˜JH˜JI˜JJ˜JK˜JL˜JM˜JN˜JO˜JPGCOLBBCACACA A E C B BBABDCCEDEDACCBEAAE E!C"B#C$C%C&C'C(C)D*A+C,E-D.E/D0A1B2A3A4B5C6E7B8A9A:A;E<B=D>A?E@BAEBDCEDAEAFEGAHDIAJDKCLBMBNCOAPAQCRBSBTAUBVEWCXDYDZC[B\C]B^A_A`BaEbBcEdEeEfCgDhCiDjDkClBmBnDoCpAqArAsEtBuAvEwExAyCzC{A|B}A~AE€A�A‚CƒB„B…B†C‡CˆC‰EŠD‹EŒC�CŽD�C�E‘B’E“C”E•D–B—B˜C™EšC›AœC�DžBŸB D¡E¢D£B¤E¥vgain¦class§pgain¨screw©motorªint0SNOD¨3à[ ðl5@~ÕL€GCOLdouble1screwmotornominal:4,5,3,2,1numericnominal:5,6,4,3nominal:E,D,A,B,Cnominal:E,B,D,C,AøH5P~ÕL€