% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 18:52:52 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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0,9,0,4096,0.167215181812,0.165907057606,0.166234312814,0.166226377238,0.165661633361,0.168755437169,6,2
0,9,0,2543,0.167303049389,0.165692066225,0.166644745449,0.165985281933,0.166879432514,0.16749542449,6,2
0,9,0,1668,0.167443136577,0.166406855763,0.167042692937,0.165641282329,0.165611735551,0.167854296843,6,2
0,9,0,3212,0.167432632693,0.165893810593,0.166603014474,0.166057119239,0.166378184937,0.167635238064,1,2
0,9,0,1095,0.168284304733,0.166347597106,0.166755991914,0.165544048272,0.164906958139,0.168161099836,6,2
0,9,0,120,0.167250963606,0.166113003863,0.167103373226,0.165553447752,0.16570622069,0.168272990863,6,2
0,9,0,644,0.167382321538,0.166035202353,0.167095185168,0.165609302797,0.166134401656,0.167743586489,6,2
0,9,0,224,0.167642414878,0.166432587299,0.166972258404,0.165574023934,0.164819701876,0.168559013609,6,2
0,9,0,3509,0.166497159345,0.166822940222,0.166048991603,0.165467860904,0.164533830387,0.170629217539,6,2
0,9,0,4831,0.166898574746,0.165790937501,0.166850455046,0.165678987781,0.165844136106,0.168936908819,6,2
0,9,0,5186,0.167264966832,0.16684714147,0.167626446695,0.165700412466,0.164929652967,0.167631379571,6,2
0,9,0,5518,0.168428125392,0.167454208856,0.169394589426,0.165602015521,0.164281404053,0.164839656752,3,2
0,9,0,3784,0.172390991606,0.163405490977,0.1630359458,0.171178982627,0.16327461507,0.166713973919,1,2
0,9,0,5023,0.167091125441,0.165729136061,0.166859130568,0.165588686077,0.165444559757,0.169287362097,6,2
0,9,0,4317,0.167810205911,0.167014797758,0.167480830374,0.165928982178,0.164764224487,0.167000959292,6,2
0,9,0,1268,0.167471337718,0.166037425492,0.166469264597,0.166043792038,0.166062109418,0.167916070738,6,2
0,9,0,5257,0.167514333852,0.167072964311,0.16721664504,0.165522520753,0.164424463968,0.168249072076,6,2
0,9,0,5775,0.167379265577,0.166633794837,0.167100700396,0.165565380364,0.165531958135,0.16778890069,6,2
0,9,0,3976,0.167243763407,0.166089927516,0.166685102256,0.16598520766,0.166985606367,0.167010392795,1,2
0,9,0,674,0.167821423951,0.166864114383,0.167790996144,0.165348493908,0.164828328966,0.167346642648,3,2
0,9,0,5339,0.167187521569,0.166947735876,0.166738384342,0.16569537744,0.165399199987,0.168031780785,6,2
0,9,0,1756,0.166513494677,0.166854060988,0.165069451237,0.168540192247,0.164029307822,0.168993493029,6,2
0,9,0,3069,0.16732293703,0.165851634898,0.166816487489,0.165611431859,0.166094682866,0.168302825858,6,2
0,9,0,4123,0.167560682561,0.167078426484,0.167696159079,0.165619547993,0.164815666971,0.167229516912,3,2
0,9,0,802,0.167556248636,0.167218193836,0.167601123295,0.165550178228,0.164720123041,0.167354132964,3,2
0,9,0,3650,0.166513494677,0.166854060988,0.165069451237,0.168540192247,0.164029307822,0.168993493029,6,2
0,9,0,5888,0.167347847829,0.166216313854,0.166261970373,0.166099951142,0.165643714871,0.168430201931,6,2
0,9,0,4701,0.167124658983,0.166683985791,0.167041481843,0.165322533432,0.164875586115,0.168951753837,6,2
0,9,0,4075,0.167167625627,0.165585271266,0.164590805042,0.166445622019,0.164683602754,0.17152707329,6,2
0,9,0,3401,0.167631731728,0.165320645143,0.166925358064,0.165901113518,0.165727770608,0.168493380938,6,2
0,9,0,3803,0.167390456361,0.166262324669,0.166050406109,0.166125730468,0.165568710627,0.168602371766,6,2
0,9,0,2594,0.167261692768,0.165481037725,0.166661540854,0.166092649631,0.167175869664,0.167327209357,6,2
0,9,0,1435,0.165291553958,0.164198984276,0.164356718857,0.16555423076,0.163732213404,0.176866298745,6,2
0,9,0,1682,0.166350277541,0.167115754858,0.165265228815,0.168154578968,0.164030126301,0.169084033517,6,2
0,9,0,5175,0.16677730648,0.16722821353,0.165284004714,0.167368235283,0.164707044737,0.168635195256,6,2
0,9,0,1768,0.166131645934,0.166570171526,0.166880446622,0.167832072012,0.163964692873,0.168620971034,6,2
0,9,0,4953,0.168399970044,0.166895913095,0.166706149514,0.166549408178,0.165542434659,0.16590612451,1,2
0,9,0,5516,0.166481407083,0.165836839645,0.164927033264,0.165805127721,0.16471645575,0.172233136537,6,2
0,9,0,4500,0.168399970044,0.166895913095,0.166706149514,0.166549408178,0.165542434659,0.16590612451,1,2
0,9,0,5956,0.167414453416,0.166474592622,0.167074207645,0.165572657294,0.165638919875,0.167825169147,6,2
0,9,0,5449,0.168350720497,0.166544894121,0.166663562061,0.166479454171,0.16577741346,0.16618395569,1,2
0,9,0,3668,0.16677730648,0.16722821353,0.165284004714,0.167368235283,0.164707044737,0.168635195256,6,2
0,9,0,800,0.16755971583,0.166649826284,0.167682121024,0.16553597151,0.164866737173,0.167705628179,6,2
% 
% 
%