% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 22:53:47 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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0,9,0,934,0.167116168152,0.166678680273,0.166916959535,0.165989258337,0.165382941183,0.16791599252,6,2
0,9,0,4096,0.16727345639,0.166487904079,0.166566831816,0.166369269898,0.165862487306,0.167440050512,6,2
0,9,0,2543,0.167049043024,0.16605331231,0.166555545006,0.166361420381,0.166810060327,0.167170618952,6,2
0,9,0,1668,0.167073244517,0.166380931329,0.166970430562,0.166019333067,0.165997599111,0.167558461414,6,2
0,9,0,3212,0.167119042298,0.166246747283,0.166524981326,0.166405811998,0.166484897413,0.167218519681,6,2
0,9,0,1095,0.167217280037,0.166482232782,0.166915042721,0.166047550774,0.165770779045,0.167567114641,6,2
0,9,0,120,0.167042740366,0.166388253766,0.167088796271,0.165978868592,0.166026198057,0.167475142948,6,2
0,9,0,644,0.167204546644,0.166486165563,0.166895352105,0.166019085334,0.166013057218,0.167381793135,6,2
0,9,0,224,0.167155528491,0.166649867807,0.167024478071,0.166048754037,0.165561944317,0.167559427276,6,2
0,9,0,3509,0.166408303953,0.166040448491,0.165670963443,0.166128982494,0.165482377676,0.170268923944,6,2
0,9,0,4831,0.167034069462,0.166206570363,0.166828308609,0.166174902483,0.166212764795,0.167543384287,6,2
0,9,0,5186,0.16698178944,0.166686739688,0.167006259108,0.166237609097,0.16572097265,0.167366630016,6,2
0,9,0,5518,0.16768258824,0.166943659961,0.168044020796,0.165840908821,0.165145190718,0.166343631463,3,2
0,9,0,3784,0.168852833785,0.164754704342,0.164974774565,0.16858357061,0.165583246799,0.167250869899,1,2
0,9,0,5023,0.167144109471,0.166271509293,0.166830816181,0.166018938221,0.165974355543,0.167760271291,6,2
0,9,0,4317,0.167386717745,0.166539385987,0.167115230228,0.166105004284,0.165559254271,0.167294407486,1,2
0,9,0,1268,0.167231900264,0.166286467363,0.166481758665,0.166406028564,0.166345371956,0.167248473188,1,2
0,9,0,5257,0.167101594148,0.166713972795,0.166926118757,0.165977682321,0.165379712171,0.167900919808,6,2
0,9,0,5775,0.167021318487,0.166596622198,0.167053102152,0.165946496305,0.165914422298,0.16746803856,6,2
0,9,0,3976,0.167041482723,0.166194583663,0.166459049688,0.166490057998,0.166826625607,0.166988200323,1,2
0,9,0,674,0.167146008308,0.166598760718,0.167341136669,0.165818707678,0.165515855312,0.167579531315,6,2
0,9,0,5339,0.167041179385,0.166515284922,0.166988055369,0.165959131992,0.165909036851,0.167587311481,6,2
0,9,0,1756,0.166710595348,0.166421859471,0.165835450944,0.16716206657,0.165650135565,0.168219892102,6,2
0,9,0,3069,0.167098425546,0.166251573646,0.16690324197,0.166031964218,0.166148249118,0.167566545501,6,2
0,9,0,4123,0.167136029731,0.166620799483,0.167155765116,0.165983877049,0.16556936274,0.167534165881,6,2
0,9,0,802,0.167069450457,0.166811181714,0.167200494793,0.165917334982,0.165539604025,0.167461934028,6,2
0,9,0,3650,0.166710595348,0.166421859471,0.165835450944,0.16716206657,0.165650135565,0.168219892102,6,2
0,9,0,5888,0.166947581355,0.166274214768,0.166561864168,0.166206626058,0.166219928311,0.16778978534,6,2
0,9,0,4701,0.167083985676,0.166642239344,0.167077013122,0.165954395492,0.165698190124,0.167544176241,6,2
0,9,0,4075,0.16648847614,0.165977499098,0.16560608319,0.166166266185,0.165416509417,0.17034516597,6,2
0,9,0,3401,0.167324374305,0.165820831762,0.166813491692,0.166091342343,0.166005187727,0.16794477217,6,2
0,9,0,3803,0.16702829554,0.166275615474,0.166484031487,0.166322619879,0.16613060549,0.167758832129,6,2
0,9,0,2594,0.167063674447,0.165838377359,0.166535564893,0.166441950887,0.166905462675,0.167214969739,6,2
0,9,0,1435,0.166373275995,0.165684732038,0.165542794976,0.166369151254,0.165429716302,0.170600329435,6,2
0,9,0,1682,0.166689656629,0.166501857629,0.165910703876,0.1671023778,0.165632853023,0.168162551044,6,2
0,9,0,5175,0.166695945756,0.166806728621,0.166005861482,0.166873037811,0.165752652339,0.16786577399,6,2
0,9,0,1768,0.166706987663,0.166424293545,0.165838755491,0.167161965444,0.165650708087,0.168217289771,6,2
0,9,0,4953,0.167721888677,0.16683167817,0.166813922214,0.166511504849,0.16587382369,0.1662471824,1,2
0,9,0,5516,0.166398481593,0.1660348277,0.165680439051,0.166125254566,0.165484904049,0.170276093042,6,2
0,9,0,4500,0.167721888677,0.16683167817,0.166813922214,0.166511504849,0.16587382369,0.1662471824,1,2
0,9,0,5956,0.167070888691,0.166509658008,0.167008678159,0.165966933335,0.165930837136,0.167513004672,6,2
0,9,0,5449,0.167538123652,0.166604841388,0.166581120297,0.166581373892,0.166155618722,0.166538922049,1,2
0,9,0,3668,0.166695992235,0.166783464137,0.166006047799,0.166876117258,0.165755849442,0.167882529129,6,2
0,9,0,800,0.167042955958,0.166635327434,0.16723658872,0.165898917299,0.165571295688,0.167614914901,6,2
% 
% 
%