% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 09:44:45 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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0,9,0,790,0.167345587775,0.169348744458,0.166921134566,0.166211992245,0.163910680302,0.166261860653,2,1
0,9,0,2101,0.169477707996,0.162353445881,0.162309226373,0.169585075076,0.168500970256,0.167773574418,4,1
0,9,0,4797,0.168720117333,0.168189455333,0.163830420734,0.167674016025,0.163774272218,0.167811718356,1,1
0,9,0,5248,0.166354812301,0.16963797008,0.166626297521,0.164748446144,0.165936124115,0.166696349839,2,2
0,9,0,4902,0.169349282849,0.168943034834,0.16713883426,0.169255291394,0.163564415872,0.161749140791,4,2
0,9,0,3670,0.166969474739,0.167689516825,0.165244961926,0.166484362507,0.166055021998,0.167556662006,2,2
0,9,0,4827,0.166810387648,0.167124547371,0.169603966814,0.166156852383,0.163836724674,0.166467521111,3,2
0,9,0,934,0.17772350197,0.167640291106,0.164507836656,0.162791782291,0.162019784644,0.165316803332,1,2
0,9,0,4096,0.166296475459,0.165490998069,0.165307467686,0.165952747433,0.164837046908,0.172115264445,6,2
0,9,0,2543,0.166711287822,0.165253649405,0.169945011955,0.164461342741,0.168228767028,0.16539994105,3,2
0,9,0,1668,0.168335900091,0.168053547068,0.165339068616,0.166268665415,0.165701672465,0.166301146344,1,2
0,9,0,3212,0.168710131682,0.164999363136,0.164824015897,0.167870391153,0.165784855779,0.167811242354,1,2
0,9,0,1095,0.168775747373,0.165945869973,0.165743357909,0.167029428877,0.164425960839,0.16807963503,1,2
0,9,0,120,0.166558013077,0.167845749163,0.166680875541,0.165511871875,0.165318649336,0.168084841009,6,2
0,9,0,644,0.165680607585,0.167800374734,0.166716741488,0.165173337744,0.167080762079,0.167548176371,6,2
0,9,0,224,0.167116615424,0.168343793525,0.166881938305,0.16519994587,0.164212890317,0.168244816558,6,2
0,9,0,3509,0.162853418087,0.170135153404,0.170386287398,0.162930987327,0.163178494646,0.170515659137,6,2
0,9,0,4831,0.167230468566,0.166072409958,0.166992812854,0.166265647934,0.165736877967,0.167701782721,6,2
0,9,0,5186,0.166996142267,0.166418746707,0.167597036816,0.164552976518,0.167308171251,0.167126926442,3,2
0,9,0,5518,0.167577373287,0.168921601831,0.169209947852,0.165308821188,0.165924550191,0.163057705652,2,2
0,9,0,3784,0.17064703844,0.164690939,0.164454044993,0.168765556767,0.164476169714,0.166966251086,1,2
0,9,0,5023,0.165936050396,0.165485645996,0.165440979036,0.165469697051,0.164196789514,0.173470838007,6,2
0,9,0,4317,0.166685850669,0.170357379332,0.166904337721,0.166817643455,0.163963875747,0.165270913076,2,2
0,9,0,1268,0.168826270183,0.167617262456,0.165179857071,0.167003626563,0.165332067878,0.166040915849,1,2
0,9,0,5257,0.166811051091,0.178683567819,0.164636814152,0.162705927561,0.161996831013,0.165165808363,2,2
0,9,0,5775,0.166380399405,0.170278903049,0.165614183243,0.16588207306,0.165026874623,0.16681756662,2,2
0,9,0,3976,0.167995329656,0.165361707453,0.167359053996,0.166828266081,0.167695177552,0.164760465262,5,2
0,9,0,674,0.167027697184,0.169231327977,0.167093810553,0.166009023138,0.163765829572,0.166872311576,2,2
0,9,0,5339,0.166635269298,0.169320710951,0.164740044625,0.1681862072,0.164691918227,0.166425849699,2,2
0,9,0,1756,0.166873088199,0.166691479838,0.164661021219,0.169504500817,0.164648394498,0.167621515428,4,2
0,9,0,3069,0.167204545178,0.164693643049,0.165692406037,0.168197964946,0.167382879599,0.16682856119,6,2
0,9,0,4123,0.166471824326,0.168704998623,0.167282520718,0.168045237413,0.164149539174,0.165345879746,3,2
0,9,0,802,0.167391492749,0.169672623088,0.167025870589,0.166090365627,0.163918049998,0.165901597948,2,2
0,9,0,3650,0.166671843248,0.167321629402,0.164502320845,0.169183543668,0.164498770859,0.167821891978,4,2
0,9,0,5888,0.16656603012,0.167210439611,0.165250963072,0.164782461458,0.16505840233,0.171131703409,6,2
0,9,0,4701,0.167284147157,0.169426353929,0.165702604213,0.166751563574,0.163797314292,0.167038016834,2,2
0,9,0,4075,0.167152637379,0.166831725971,0.163078952923,0.168274155237,0.16379919213,0.170863336359,6,2
0,9,0,3401,0.166668743512,0.165223552967,0.167684857338,0.167366024582,0.164926269506,0.168130552095,4,2
0,9,0,3803,0.167607935779,0.169424835966,0.163815281562,0.166152395377,0.164875868325,0.168123682991,2,2
0,9,0,2594,0.168067189858,0.166854291244,0.167094002826,0.165338407029,0.166759199259,0.165886909784,1,2
0,9,0,1435,0.167185690789,0.164462203879,0.165332717532,0.16843791381,0.1657945205,0.168786953491,6,2
0,9,0,1682,0.166263673184,0.170916839508,0.16477770181,0.167067898316,0.164295797921,0.166678089263,2,2
0,9,0,5175,0.166607723213,0.168700077989,0.164671276402,0.167725708319,0.164887810231,0.167407403846,6,2
0,9,0,1768,0.165914697915,0.165950333301,0.16734573018,0.168881399729,0.164142020414,0.167765818461,6,2
0,9,0,4953,0.169308466257,0.169535722121,0.167515168375,0.168122084193,0.163783841524,0.16173471753,1,2
0,9,0,5516,0.167748299096,0.167765711481,0.164249686913,0.166838362032,0.165344827974,0.168053112504,6,2
0,9,0,4500,0.168962096341,0.16808331491,0.169278978998,0.167074282979,0.164921728489,0.161679598282,1,2
0,9,0,5956,0.167037712352,0.168082121517,0.165148340355,0.168059378346,0.164901567672,0.166770879759,2,2
0,9,0,5449,0.169077561245,0.169241902731,0.1677892531,0.167248598166,0.164545600602,0.162097084156,1,2
0,9,0,3668,0.166479689492,0.16986806143,0.164434813812,0.167135155959,0.164683752633,0.167398526675,2,2
0,9,0,800,0.166719697933,0.170098210546,0.166969276247,0.166678303664,0.16372672249,0.165807789118,2,2
% 
% 
%