% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 11:07:06 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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0,9,0,5186,0.163547342623,0.143826571626,0.363557392132,0.0567473549014,0.0852800699402,0.187041268778,3,2
0,9,0,5518,0.134210990187,0.366414271202,0.359250893185,0.0319228809491,0.0846591227153,0.0235418417615,2,2
0,9,0,3784,0.469369890062,0.016085608059,0.0070751800215,0.387984633606,0.0137799038247,0.105704784427,1,2
0,9,0,5023,0.0974757422801,0.0630760294004,0.0893180178485,0.0612307869032,0.0317380280998,0.657161395468,6,2
0,9,0,4317,0.145175533224,0.337566891582,0.213807757179,0.131929984108,0.0643813612039,0.107138472704,2,2
0,9,0,1268,0.259731712908,0.159175171001,0.115210940491,0.118035695093,0.107058815896,0.240787664611,1,2
0,9,0,5257,0.149919546067,0.333894144172,0.180512934584,0.0527585997038,0.0271031891985,0.255811586274,2,2
0,9,0,5775,0.157941159271,0.358160574309,0.101257327574,0.0736622434677,0.0744711827321,0.234507512646,2,2
0,9,0,3976,0.227995278688,0.136259113851,0.193870588021,0.130716362653,0.249853702077,0.0613049547106,5,2
0,9,0,674,0.216849215182,0.23735968225,0.226959100212,0.103898592178,0.0485190626702,0.166414347507,2,2
0,9,0,5339,0.150675891162,0.438823184113,0.063403909255,0.104295500843,0.0494698319254,0.193331682701,2,2
0,9,0,1756,0.063590140144,0.144055028323,0.0787471690745,0.210338533963,0.0182303670749,0.485038761421,6,2
0,9,0,3069,0.209396307916,0.0653315174195,0.143648605272,0.135578419984,0.152603557715,0.293441591694,6,2
0,9,0,4123,0.127254961949,0.332155965542,0.283993123818,0.138464110008,0.0572362870192,0.0608955516645,2,2
0,9,0,802,0.169180391026,0.2670352651,0.384415439948,0.106729655916,0.0275445190111,0.045094728999,3,2
0,9,0,3650,0.0646727612266,0.142325531046,0.0737896844424,0.21504401516,0.018744033516,0.485423974609,6,2
0,9,0,5888,0.0802064468763,0.0866002020937,0.0476557776025,0.0878369444885,0.0537152130989,0.64398541584,6,2
0,9,0,4701,0.127959086936,0.270097937755,0.0942219274171,0.0735969576766,0.0370445259644,0.39707956425,6,2
0,9,0,4075,0.0789763638878,0.0535622932789,0.00881095669773,0.0892174281751,0.0390646013231,0.730368356637,6,2
0,9,0,3401,0.104358357247,0.040661297683,0.297761145082,0.225474453475,0.0511558706606,0.280588875853,3,2
0,9,0,3803,0.234323297385,0.112483161239,0.0253869003311,0.0576242758989,0.0316048673995,0.538577497746,6,2
0,9,0,2594,0.272092193628,0.114674458777,0.183996141234,0.0885315764875,0.198371649954,0.142333979919,1,2
0,9,0,1435,0.0384389198741,0.00994167574908,0.0241263826289,0.0535729096971,0.0123909490639,0.861529162987,6,2
0,9,0,1682,0.0651236221873,0.147219108298,0.0833706200817,0.210723434199,0.0188908772578,0.474672337977,6,2
0,9,0,5175,0.105257291675,0.328206829173,0.0937305273729,0.163781249587,0.0814156864493,0.227608415742,2,2
0,9,0,1768,0.0598450431295,0.123660448815,0.0853687578185,0.21700897472,0.018314592511,0.495802183006,6,2
0,9,0,4953,0.468270214802,0.239886076532,0.146822113914,0.111204630524,0.0214314125214,0.0123855517069,1,2
0,9,0,5516,0.079769059348,0.0764020448797,0.0122310156202,0.0733935841758,0.0314825362698,0.726721759706,6,2
0,9,0,4500,0.443640492555,0.207545579507,0.193209284142,0.114077947209,0.0344825981648,0.0070440984228,1,2
0,9,0,5956,0.189855967394,0.328902520157,0.088489798911,0.140914682122,0.0818023985764,0.170034632839,2,2
0,9,0,5449,0.302895680607,0.351339045957,0.15206884252,0.107628607756,0.0655948858892,0.0204729372707,2,2
0,9,0,3668,0.116316587132,0.319364040925,0.0807356425047,0.176894522538,0.0810585913785,0.225630615521,2,2
0,9,0,800,0.0993115359386,0.173066610343,0.537331573691,0.0905050149746,0.0178169270392,0.081968338014,3,2
% 
% 
%