% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 10:30:40 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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0,9,0,3670,0.167311755216,0.166162296852,0.16646432141,0.166315694176,0.166258539618,0.167487392728,6,2
0,9,0,4827,0.167061181395,0.166355195806,0.167453290382,0.165973705621,0.165667311765,0.16748931503,6,2
0,9,0,934,0.166909659503,0.166590669059,0.166851180134,0.165975501137,0.165345660373,0.168327329794,6,2
0,9,0,4096,0.16689885597,0.166475053822,0.166190759935,0.166718442183,0.165857209344,0.167859678747,6,2
0,9,0,2543,0.167029882033,0.165961107247,0.166611267147,0.166293330474,0.166579571681,0.167524841418,6,2
0,9,0,1668,0.167133202273,0.166212493023,0.166798725746,0.166193519445,0.166075831921,0.167586227593,6,2
0,9,0,3212,0.167130479506,0.166164594204,0.166524526557,0.166352592052,0.166309297551,0.16751851013,6,2
0,9,0,1095,0.167191523701,0.166414516642,0.167086132373,0.166029478794,0.165758415686,0.167519932804,6,2
0,9,0,120,0.167069258534,0.166249647065,0.167006265521,0.166167749111,0.16607433164,0.16743274813,6,2
0,9,0,644,0.167102473153,0.166413450024,0.166754667985,0.166061330502,0.166219478931,0.167448599406,6,2
0,9,0,224,0.167181707853,0.166400446432,0.166981455435,0.166165982916,0.165788251184,0.16748215618,6,2
0,9,0,3509,0.166394220727,0.166159947845,0.165728145658,0.166197209148,0.165628107658,0.169892368965,6,2
0,9,0,4831,0.167058449376,0.165998376765,0.166517429118,0.166353758685,0.166387367192,0.167684618865,6,2
0,9,0,5186,0.166597907403,0.166497307694,0.166950085185,0.166483587562,0.165837107781,0.167634004374,6,2
0,9,0,5518,0.167368606697,0.166775315969,0.167449583465,0.16604153506,0.165632368913,0.166732589895,3,2
0,9,0,3784,0.168918832743,0.164776655237,0.164993635184,0.168722149382,0.165566596434,0.16702213102,4,2
0,9,0,5023,0.166868217327,0.16641862736,0.166722749197,0.166126654171,0.166058961438,0.167804790506,6,2
0,9,0,4317,0.167246600066,0.166397599685,0.167029039627,0.166169633348,0.165681968182,0.167475159092,6,2
0,9,0,1268,0.167119276354,0.166268897216,0.166373856222,0.166647192758,0.166448265358,0.167142512092,1,2
0,9,0,5257,0.166909659503,0.166590669059,0.166851180134,0.165975501137,0.165345660373,0.168327329794,6,2
0,9,0,5775,0.167065331065,0.166401565258,0.166865036118,0.166106050698,0.166085432205,0.167476584656,6,2
0,9,0,3976,0.166969958249,0.166179083885,0.166444964357,0.166654942324,0.166799569547,0.166951481638,5,2
0,9,0,674,0.167046427098,0.166411706743,0.167081324237,0.165978363475,0.165698241822,0.167783936626,6,2
0,9,0,5339,0.16699968855,0.16637938757,0.166712989309,0.166062845476,0.166033147151,0.167811941944,6,2
0,9,0,1756,0.166378093546,0.166330049077,0.165798380539,0.16698512858,0.165575867776,0.168932480483,6,2
0,9,0,3069,0.167105996248,0.166216200793,0.16672944145,0.166127980019,0.166203160694,0.167617220796,6,2
0,9,0,4123,0.167188965543,0.166440086553,0.167099117454,0.166133304792,0.165674517157,0.167464008501,6,2
0,9,0,802,0.167183055249,0.166407895622,0.16719389349,0.166085602776,0.165661319946,0.167468232918,6,2
0,9,0,3650,0.166378093546,0.166330049077,0.165798380539,0.16698512858,0.165575867776,0.168932480483,6,2
0,9,0,5888,0.166765862187,0.166316922496,0.166244620946,0.166129438285,0.165949045839,0.168594110248,6,2
0,9,0,4701,0.167069265695,0.1664913486,0.167016199543,0.165952563819,0.165728261032,0.16774236131,6,2
0,9,0,4075,0.166386200722,0.166146693074,0.165661135153,0.166173772447,0.165465102418,0.170167096186,6,2
0,9,0,3401,0.167486069819,0.16560546086,0.16681037348,0.166183826508,0.165975630846,0.167938638487,6,2
0,9,0,3803,0.167143264543,0.166201088753,0.166335277663,0.166432146528,0.166178987322,0.16770923519,6,2
0,9,0,2594,0.167078803404,0.165752098806,0.166608335418,0.166307193513,0.1666372407,0.167616328159,6,2
0,9,0,1435,0.166217616635,0.165836982606,0.165546017355,0.166501190663,0.165449184365,0.170449008376,6,2
0,9,0,1682,0.166319440449,0.166493999586,0.165945013675,0.166867343757,0.16556399557,0.168810206964,6,2
0,9,0,5175,0.166488050747,0.166823892848,0.166046794126,0.166538617502,0.16569358334,0.168409061437,6,2
0,9,0,1768,0.166361979944,0.166371663878,0.165829839926,0.166964255582,0.165543694896,0.168928565774,6,2
0,9,0,4953,0.167685632167,0.166705137419,0.166612885358,0.166803204637,0.166021543441,0.166171596977,1,2
0,9,0,5516,0.166387836309,0.166167569829,0.165713408258,0.166204242785,0.165639083886,0.169887858934,6,2
0,9,0,4500,0.167685632167,0.166705137419,0.166612885358,0.166803204637,0.166021543441,0.166171596977,1,2
0,9,0,5956,0.167079300959,0.166376453073,0.166798857738,0.166118891795,0.166068648606,0.167557847828,6,2
0,9,0,5449,0.167278098463,0.166572755396,0.166614140782,0.166845636825,0.166310160133,0.166379208401,1,2
0,9,0,3668,0.166488050747,0.166823892848,0.166046794126,0.166538617502,0.16569358334,0.168409061437,6,2
0,9,0,800,0.167004655494,0.166199303063,0.167371708458,0.166006895645,0.165716912082,0.167700525259,6,2
% 
% 
%