% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 17:42:03 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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0,9,0,2023,0.166667168535,0.165950179976,0.165445142305,0.166228079295,0.16859250487,0.167116925019,5,1
0,9,0,366,0.167867811435,0.164581280039,0.166663851874,0.165394550212,0.166186513951,0.16930599249,6,1
0,9,0,5625,0.164013304808,0.163385558579,0.162374750459,0.178432923379,0.161751642799,0.170041819975,4,1
0,9,0,5538,0.168252658085,0.164644769628,0.167952561216,0.164367709366,0.166897851848,0.167884449857,6,1
0,9,0,4322,0.171821988319,0.164551475084,0.163786423316,0.163713438587,0.162339744955,0.173786929739,6,1
0,9,0,4111,0.169001476325,0.169034971451,0.166935097401,0.164959893672,0.163361110128,0.166707451024,1,1
0,9,0,1730,0.174105268953,0.172345116407,0.161980777656,0.163864915079,0.164340769893,0.163363152013,1,1
0,9,0,790,0.167270532481,0.168695686043,0.169645963891,0.165880039969,0.163118498353,0.165389279263,3,1
0,9,0,2101,0.169769117172,0.161328653392,0.161383066171,0.175825058142,0.166430835552,0.165263269571,4,1
0,9,0,4797,0.172085242235,0.169699909253,0.161294253428,0.168452142232,0.161482420131,0.166986032722,1,1
0,9,0,5248,0.16507790488,0.16975727014,0.165990664942,0.165714741157,0.164095568629,0.169363850252,6,2
0,9,0,4902,0.169397086295,0.16862702314,0.16812811812,0.168694289726,0.16334561209,0.161807870629,1,2
0,9,0,3670,0.167255304933,0.17010239621,0.165654752513,0.164351929303,0.165393486358,0.167242130683,2,2
0,9,0,4827,0.166701755522,0.167299103466,0.17155759955,0.1657777888,0.163190306596,0.165473446067,3,2
0,9,0,934,0.173486214108,0.170925893508,0.165431652109,0.163121881329,0.161969969389,0.165064389557,2,2
0,9,0,4096,0.165944871847,0.163981697353,0.165143139946,0.163419222643,0.164411764256,0.177099303955,6,2
0,9,0,2543,0.167244707593,0.165767891134,0.167958395952,0.165147988556,0.167750004485,0.16613101228,5,2
0,9,0,1668,0.169518440572,0.169167976125,0.165111005948,0.164846792258,0.164541550924,0.166814234172,1,2
0,9,0,3212,0.167896464425,0.163942338514,0.164645546308,0.167140348863,0.16575725512,0.170618046771,6,2
0,9,0,1095,0.168591877895,0.164702987189,0.164393250913,0.165986537616,0.162728559734,0.173596786652,6,2
0,9,0,120,0.166373749945,0.168066540583,0.166448323505,0.16448493672,0.165166648728,0.16945980052,6,2
0,9,0,644,0.165590788576,0.170901172188,0.167075290937,0.163718584208,0.165893562078,0.166820602013,6,2
0,9,0,224,0.168578804265,0.167742444088,0.165525931015,0.164271375862,0.162961517588,0.17091992718,6,2
0,9,0,3509,0.163066083024,0.169764865659,0.168742251639,0.163435269033,0.164132775927,0.170858754718,6,2
0,9,0,4831,0.166731303284,0.165757402176,0.167267189428,0.166097285613,0.165474731179,0.16867208832,3,2
0,9,0,5186,0.168674474162,0.166177523345,0.168825762873,0.164461843614,0.166327268278,0.165533127727,3,2
0,9,0,5518,0.166691044828,0.171704648929,0.17001200283,0.164389979168,0.164776014639,0.162426309606,3,2
0,9,0,3784,0.179343753971,0.161688448249,0.161114881506,0.174106895589,0.161163299624,0.162582721061,1,2
0,9,0,5023,0.165694963293,0.164061509643,0.163381286458,0.163643728882,0.163469397379,0.179749114345,6,2
0,9,0,4317,0.166524167252,0.172640230575,0.167548217346,0.166622759313,0.162978748735,0.163685876779,2,2
0,9,0,1268,0.169299178746,0.166240301703,0.165815804667,0.167308459388,0.165081601456,0.16625465404,1,2
0,9,0,5257,0.166298882636,0.179032978256,0.164633858581,0.163083427361,0.161918470089,0.165032383076,2,2
0,9,0,5775,0.16637568256,0.172587270134,0.165285040961,0.16506633875,0.164271949508,0.166413718087,2,2
0,9,0,3976,0.168697689438,0.166109437027,0.166976217404,0.165717889189,0.166930628006,0.165568138937,1,2
0,9,0,674,0.167216647823,0.16955997485,0.168219617707,0.164780164628,0.163120590105,0.167103004886,2,2
0,9,0,5339,0.165971915644,0.173412748328,0.163941752906,0.166621099821,0.163879760852,0.166172722449,2,2
0,9,0,1756,0.168675442102,0.16605719187,0.16234057157,0.170612238706,0.161866170488,0.170448385264,6,2
0,9,0,3069,0.167871100516,0.164664524104,0.165429430866,0.166020663884,0.166881149313,0.169133131317,6,2
0,9,0,4123,0.165813323854,0.169479943222,0.168581832405,0.168766099802,0.162960593719,0.164398206998,2,2
0,9,0,802,0.167208373814,0.171660541767,0.168930457737,0.165800070161,0.162777763711,0.163622792809,2,2
0,9,0,3650,0.166482838947,0.168783472459,0.162096188947,0.170879230525,0.161865855269,0.169892413853,6,2
0,9,0,5888,0.166384886626,0.166433967712,0.164177044645,0.165840796405,0.16398939971,0.173173904903,6,2
0,9,0,4701,0.167757766176,0.170291182008,0.16606048491,0.164959098853,0.163000199179,0.167931268875,2,2
0,9,0,4075,0.162652531335,0.168340502168,0.162195534362,0.169047253266,0.167102736108,0.170661442761,6,2
0,9,0,3401,0.166609184476,0.163888776218,0.168290294922,0.167449610985,0.16368871152,0.170073421879,6,2
0,9,0,3803,0.168640500868,0.169416436597,0.163370983848,0.165413968204,0.163986107749,0.169172002734,6,2
0,9,0,2594,0.167809614379,0.165861262025,0.167494201785,0.165136373381,0.167291505476,0.166407042954,5,2
0,9,0,1435,0.163768120663,0.161813472033,0.163427023471,0.173482855651,0.162008718625,0.175499809557,6,2
0,9,0,1682,0.16417774979,0.175156667019,0.163066685636,0.167263567785,0.161869623061,0.168465706709,6,2
0,9,0,5175,0.16342449113,0.174192966744,0.163346157969,0.165350594677,0.162088633936,0.171597155544,2,2
0,9,0,1768,0.163195924388,0.166604517783,0.168991534443,0.168463630183,0.161955265206,0.170789127998,6,2
0,9,0,4953,0.170646716188,0.170008230123,0.16709919509,0.167354154473,0.163022894419,0.161868809706,1,2
0,9,0,5516,0.166954261084,0.166129953326,0.162227746552,0.169076458674,0.162440138126,0.173171442238,6,2
0,9,0,4500,0.169659410467,0.168242278908,0.16851996981,0.166958298624,0.16500206481,0.16161797738,1,2
0,9,0,5956,0.167359479635,0.169893018123,0.164940195686,0.167650244563,0.16448121922,0.165675842773,2,2
0,9,0,5449,0.169266311748,0.169729688872,0.167846795101,0.167546399162,0.163639364865,0.161971440252,1,2
0,9,0,3668,0.163417219264,0.175183197714,0.163338889589,0.164676677578,0.162081421511,0.171302594345,2,2
0,9,0,800,0.166897051713,0.168438135977,0.170004785141,0.166787810958,0.163018870214,0.164853345998,3,2
% 
% 
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