% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Aug 28 06:18:42 2017
% Created by run_task()
@RELATION openml_task_9985_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE confidence.6 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0,9,0,4317,0.192127670141,0.434718604266,0.152527459432,0.138623802998,0.0499572795007,0.032045183662,2,2
0,9,0,1268,0.156503750609,0.118774224277,0.0809433977756,0.0611591748386,0.184966164898,0.397653287602,6,2
0,9,0,5257,0.122050053455,0.477890216938,0.17600219194,0.0929351739336,0.0505134905206,0.080608873213,2,2
0,9,0,5775,0.0729870612884,0.366475353736,0.0440375395882,0.033217202621,0.0324167103495,0.450866132417,6,2
0,9,0,3976,0.167763249399,0.0582600717908,0.0839620190246,0.0955036227503,0.259996642084,0.334514394952,6,2
0,9,0,674,0.113540731942,0.0590562325712,0.136145748871,0.0493321959465,0.0533322609597,0.588592829709,6,2
0,9,0,5339,0.118683366263,0.285798438524,0.0508733222513,0.0463816139264,0.0450112405034,0.453252018532,6,2
0,9,0,1756,0.0484560663582,0.0610199310121,0.0743570992984,0.126578289108,0.0542945105264,0.635294103697,6,2
0,9,0,3069,0.0771674831521,0.0405828588285,0.0942114496275,0.0553455531978,0.0919967693623,0.640695885832,6,2
0,9,0,4123,0.160683399356,0.436347719976,0.179174051122,0.149977185745,0.047788953122,0.0260286906793,2,2
0,9,0,802,0.143507728744,0.199859488652,0.493102193308,0.0655904669754,0.0447940670634,0.0531460552576,3,2
0,9,0,3650,0.0499099487729,0.0625867451135,0.0728844904701,0.129760669225,0.0548653794753,0.629992766943,6,2
0,9,0,5888,0.122114394234,0.0883021302028,0.099892430929,0.0351659106185,0.0973223339869,0.557202800029,6,2
0,9,0,4701,0.100054936527,0.159276855291,0.131585561176,0.0713162158032,0.0577758125534,0.479990618649,6,2
0,9,0,4075,0.154371055896,0.0969332564642,0.0610720051788,0.112937371766,0.0597956121579,0.514890698538,6,2
0,9,0,3401,0.246971477382,0.0555044273802,0.153473381497,0.115604808153,0.0801250936882,0.348320811899,6,2
0,9,0,3803,0.194139387141,0.0920472131456,0.0735419748933,0.104935549242,0.0651225786158,0.470213296963,6,2
0,9,0,2594,0.156245329954,0.0535062770694,0.0788559967295,0.0893749573022,0.18322627682,0.438791162125,6,2
0,9,0,1435,0.12459164951,0.0684070723608,0.0678089513193,0.14145513039,0.0472891496561,0.550448046763,6,2
0,9,0,1682,0.0515541997802,0.0657445322536,0.0826057917131,0.129209668265,0.0562638877706,0.614621920217,6,2
0,9,0,5175,0.0516318779043,0.054504129809,0.0580049928298,0.0969604190889,0.0432325865787,0.695665993789,6,2
0,9,0,1768,0.0606916514072,0.0776789546597,0.083972591659,0.134773033887,0.0581680768997,0.584715691488,6,2
0,9,0,4953,0.344529808711,0.079699169461,0.105987044409,0.170366553683,0.101076805595,0.198340618141,1,2
0,9,0,5516,0.147891597643,0.0927234942656,0.0613827235,0.114433764351,0.0590097946566,0.524558625583,6,2
0,9,0,4500,0.346686163414,0.0773462437206,0.113144417335,0.171082484191,0.0937085645933,0.198032126746,1,2
0,9,0,5956,0.161153372166,0.209156309717,0.0712848634703,0.0531190481687,0.0667977391764,0.438488667301,6,2
0,9,0,5449,0.329596418584,0.0715271732763,0.115889126574,0.16971583084,0.0947699787748,0.218501471951,6,2
0,9,0,3668,0.0369408277384,0.0445986031865,0.0560173373375,0.0819603891453,0.0391323790624,0.74135046353,6,2
0,9,0,800,0.0843593704056,0.135575588514,0.561677071104,0.0760414314068,0.0586407179923,0.0837058205767,3,2
% 
% 
%