HDF   l`  TREEpHEAPX datadata_descr8 (name'cpu' (mldata0  comment  !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! 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 TREEHEAPXvendorint0@SNOD0E LSNOD D $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $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 $S $T $U $V $W $X $Y $Z $[ $\ $] $^ $_ $` $a $b $c $d $e $f $g $hGCOL ibmibmibmibmibmibmibmibm ibm ibm ibm ibm ibmibmibmibmibmibmibmibmipliplipliplipliplmagnusonmagnusonmagnusonmagnusonmagnuson magnuson! microdata"nas#nas$nas%nas&nas'nas(nas)nas*nas+nas,nas-nas.nas/nas0nas1nas2nas3nas4nas5ncr6ncr7ncr8ncr9ncr:ncr;ncr<ncr=ncr>ncr?ncr@ncrAncrBnixdorfCnixdorfDnixdorfE perkin-elmerF perkin-elmerG perkin-elmerHprimeIprimeJprimeKprimeLprimeMsiemensNsiemensOsiemensPsiemensQsiemensRsiemensSsiemensTsiemensUsiemensVsiemensWsiemensXsiemensYsperryZsperry[sperry\sperry]sperry^sperry_sperry`sperryasperrybsperrycsperrydsperryesperryfsratusgwanghwangidgjdgkdgldgm formationn formationo formationp formationq formationr four-phasesgouldtgouldugouldvhpwhpxhpyhpzhp{hp|hp}harris~harrisharrisharrisharrisharrisharris honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywell honeywellibmibmibmibmibmibmibmibmibmibmibmibmc.r.dc.r.dc.r.dcdccdccdccdccdccdccdccdccdccambexcambexcambexcambexcambexdecdecdecdecdecdecdgdgdgbtibti burroughs burroughs burroughs burroughs burroughs burroughs burroughs burroughsc.r.dc.r.dc.r.damdahlamdahlamdahlapolloapollobasfbasfamdahlamdahlamdahlamdahlamdahlamdahladviserCACHCHMINCHMAXclassMMINMMAXMYCTvendorint0vendornumericnumericnumericnumericnumericnumericnumericnominal: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  LLXExGTREEI HEAPX(Gnamesorderingtypes0bLSNODGHJ j|c L $ $ $ $ $ $ $ $}<2^nn@@@@@@228@22222222**@nn     }KKKZiiiKK,,,,,,J,,JJ99sLLX 222222ddd222ss\\\K<<<2HH((#&0&pT888888&&&&&iii4F;;t2222|b}@@@@@>>>}@   < < xx >>@@`@@@@>@>@@@@@@@@p}}}>}}} @>@>888pp < < ((QQ@@>>>.@@@@>@.@@@@@@@>>@@ ... >}@}}>]}}}>p@@>>..>>@@>>>@@@>>>@@@@>>>>>>@>}}}]}}p@@.>@@>]>@>@@p@>..>]}}@}}}}@@@@ @@@@AA @@ @@@ 0   @@@@ @@ @ @@   @ @ 0pp`      44   @  @ @@  &&& 0@p666           4hh"}}Fu@|#'(-ffJJ,)JJJ6)$&"H$8*"""""Kq!/6425I 9 Ri^q#-*LL;Aet,,RR%..PXX!.55)V_kuwx0~  [#)/>NPPC@+5)/cCQ~8Uh%2)/ $ $ $ $ $ $ $ $ $ $XKL