HDF   D` TREE HEAPX datadata_descr8 0name machine_cpu (mldata0 (commenthe problem concerns Relative CPU Performance Data. More information can be obtained in the UCI Machine Learning repository (http://www.ics.uci.edu/~mlearn/MLSummary.html). The used attributes are : MYCT: machine cycle time in nanoseconds (integer) MMIN: minimum main memory in kilobytes (integer) MMAX: maximum main memory in kilobytes (integer) CACH: cache memory in kilobytes (integer) CHMIN: minimum channels in units (integer) CHMAX: maximum channels in units (integer) PRP: published relative performance (integer) (target variable) Original source: UCI machine learning repository. Source: collection of regression datasets by Luis Torgo (ltorgo@ncc.up.pt) at http://www.ncc.up.pt/~ltorgo/Regression/DataSets.html Characteristics: 209 cases; 6 continuous variables  TREE HEAPX8 int0HSNOD $ 0 LSNOD }<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 >o|x&(\ #x!=LE!Mp ?jG$(4<HH(>$<G $ >@$,2-5$T&&(#B-  %("2LB1Bd -8FP -6A2(><2BVJ]oirF "*.3td)22 &<m !:KqFr3~ *.4C-4$T&TREE' HEAPX(t&namesorderingtypes0 ,pLSNOD&$) 4*|,L,pL 4 4 4 4 4 4 4 4 4 4 4  4  4  4  4 GCOLCHMINCHMAXclassMMAXCACHMMINMYCTint0 numeric numeric numeric numeric numericnumericnumeric