% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 06:35:40 2017
% Created by run_task()
@RELATION openml_task_3950_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.0 NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE prediction {0, 1}
@ATTRIBUTE correct {0, 1}

@DATA
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0,9,0,174,0.0381258074919,0.961874192508,1,1
0,9,0,18,0.130698860856,0.869301139144,1,1
0,9,0,11,0.493899488704,0.506100511296,1,1
0,9,0,472,0.792837240425,0.207162759575,0,1
0,9,0,584,0.129572649573,0.870427350427,1,1
0,9,0,576,0.127010973748,0.872989026252,1,1
0,9,0,503,0.0117050865801,0.98829491342,1,1
0,9,0,206,0.0345656328321,0.965434367168,1,1
0,9,0,132,0.0103090909091,0.989690909091,1,1
0,9,0,984,0.141495113477,0.858504886523,1,1
0,9,0,909,0.127387734685,0.872612265315,1,1
0,9,0,492,0.183923029473,0.816076970527,1,1
0,9,0,937,0.0265784268528,0.973421573147,1,1
0,9,0,408,0.00222222222222,0.997777777778,1,1
0,9,0,892,0.0498190548967,0.950180945103,1,1
0,9,0,52,0.0646827675249,0.935317232475,1,1
0,9,0,542,0.292585116349,0.707414883651,1,1
0,9,0,239,0.0197213634319,0.980278636568,1,1
0,9,0,816,0.00315789473684,0.996842105263,1,1
0,9,0,82,0.0131642512077,0.986835748792,1,1
0,9,0,232,0.029880952381,0.970119047619,1,1
0,9,0,516,0.0258149972633,0.974185002737,1,1
0,9,0,554,0.0117050865801,0.98829491342,1,1
0,9,0,448,0.26285438496,0.73714561504,1,1
0,9,0,846,0.00222222222222,0.997777777778,1,1
0,9,0,217,0.0292053571429,0.970794642857,1,1
0,9,0,983,0.130436228038,0.869563771962,1,1
0,9,0,362,0.000555555555556,0.999444444444,1,1
0,9,0,356,0.0212283359915,0.978771664009,1,1
0,9,0,85,0.0131642512077,0.986835748792,1,1
0,9,0,22,0.0304159239453,0.969584076055,1,1
0,9,0,190,0.03901253577,0.96098746423,1,1
0,9,0,92,0.0122222222222,0.987777777778,1,1
0,9,0,941,0.26898519449,0.73101480551,1,1
0,9,0,549,0.0990751069773,0.900924893023,1,1
0,9,0,716,0.171088697154,0.828911302846,1,1
0,9,0,299,0.0,1.0,1,1
0,9,0,551,0.0634178770315,0.936582122968,1,1
0,9,0,661,0.0253270966506,0.974672903349,1,1
0,9,0,102,0.0198917275505,0.980108272449,1,1
0,9,0,1010,0.114181941603,0.885818058397,1,1
0,9,0,530,0.0164915826265,0.983508417373,1,1
0,9,0,290,0.00111111111111,0.998888888889,1,1
0,9,0,208,0.0345656328321,0.965434367168,1,1
0,9,0,988,0.0861103427405,0.913889657259,1,1
0,9,0,665,0.00548387096774,0.994516129032,1,1
0,9,0,803,0.0138553618736,0.986144638126,1,1
0,9,0,447,0.534513618075,0.465486381925,0,1
0,9,0,786,0.0025,0.9975,1,1
0,9,0,381,0.0,1.0,1,1
0,9,0,181,0.0311359649123,0.968864035088,1,1
0,9,0,34,0.0145488293069,0.985451170693,1,1
0,9,0,735,0.253234534674,0.746765465326,1,1
0,9,0,148,0.00753131313131,0.992468686869,1,1
0,9,0,98,0.0697680439272,0.930231956073,1,1
0,9,0,662,0.104458331211,0.895541668789,1,1
0,9,0,884,0.146977515406,0.853022484594,1,1
0,9,0,575,0.157589254945,0.842410745055,1,1
0,9,0,461,0.776555262613,0.223444737387,0,1
0,9,0,739,0.402669197748,0.597330802252,1,1
% 
% 
%