% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 15:15:36 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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0,9,0,363,0.0,1.0,1,1
0,9,0,591,0.480907363105,0.519092636895,1,1
0,9,0,485,0.10051010101,0.89948989899,1,1
0,9,0,707,0.117198358687,0.882801641313,1,1
0,9,0,501,0.119139322666,0.880860677334,1,1
0,9,0,104,0.12974191509,0.87025808491,1,1
0,9,0,213,0.0222274669775,0.977772533023,1,1
0,9,0,429,0.0,1.0,1,1
0,9,0,757,0.323868290842,0.676131709158,1,1
0,9,0,302,0.00222222222222,0.997777777778,1,1
0,9,0,841,0.0,1.0,1,1
0,9,0,121,0.0818751366882,0.918124863312,1,1
0,9,0,878,0.188634431358,0.811365568642,1,1
0,9,0,174,0.055597655999,0.944402344001,1,1
0,9,0,18,0.0561388888889,0.943861111111,1,1
0,9,0,11,0.153426652777,0.846573347223,1,1
0,9,0,472,0.605506644714,0.394493355286,0,1
0,9,0,584,0.484591970121,0.515408029879,1,1
0,9,0,576,0.426230630481,0.573769369519,1,1
0,9,0,503,0.111648697063,0.888351302937,1,1
0,9,0,206,0.0295,0.9705,1,1
0,9,0,132,0.0025,0.9975,1,1
0,9,0,984,0.376518913835,0.623481086165,1,1
0,9,0,909,0.170795541189,0.829204458811,1,1
0,9,0,492,0.104316420508,0.895683579492,1,1
0,9,0,937,0.067496124045,0.932503875955,1,1
0,9,0,408,0.00866666666667,0.991333333333,1,1
0,9,0,892,0.143131854257,0.856868145743,1,1
0,9,0,52,0.16479527417,0.83520472583,1,1
0,9,0,542,0.218096223866,0.781903776134,1,1
0,9,0,239,0.009,0.991,1,1
0,9,0,816,0.00125,0.99875,1,1
0,9,0,82,0.081827135425,0.918172864575,1,1
0,9,0,232,0.0488418248418,0.951158175158,1,1
0,9,0,516,0.124836992084,0.875163007916,1,1
0,9,0,554,0.081946377453,0.918053622547,1,1
0,9,0,448,0.147123978962,0.852876021038,1,1
0,9,0,846,0.0,1.0,1,1
0,9,0,217,0.0268813131313,0.973118686869,1,1
0,9,0,983,0.306432237267,0.693567762733,1,1
0,9,0,362,0.0,1.0,1,1
0,9,0,356,0.00111111111111,0.998888888889,1,1
0,9,0,85,0.081827135425,0.918172864575,1,1
0,9,0,22,0.00111111111111,0.998888888889,1,1
0,9,0,190,0.0246993094625,0.975300690538,1,1
0,9,0,92,0.112648872369,0.887351127631,1,1
0,9,0,941,0.0710928738444,0.928907126156,1,1
0,9,0,549,0.227346796994,0.772653203006,1,1
0,9,0,716,0.103203506317,0.896796493683,1,1
0,9,0,299,0.00235294117647,0.997647058824,1,1
0,9,0,551,0.230561778091,0.769438221909,1,1
0,9,0,661,0.199483477307,0.800516522693,1,1
0,9,0,102,0.171662119786,0.828337880214,1,1
0,9,0,1010,0.246307150366,0.753692849634,1,1
0,9,0,530,0.136350152256,0.863649847744,1,1
0,9,0,290,0.0182936507937,0.981706349206,1,1
0,9,0,208,0.0295,0.9705,1,1
0,9,0,988,0.264621430814,0.735378569186,1,1
0,9,0,665,0.0969294267824,0.903070573218,1,1
0,9,0,803,0.0140277777778,0.985972222222,1,1
0,9,0,447,0.271588048175,0.728411951825,1,1
0,9,0,786,0.00596405228758,0.994035947712,1,1
0,9,0,381,0.0,1.0,1,1
0,9,0,181,0.0591546786547,0.940845321345,1,1
0,9,0,34,0.00823626373626,0.991763736264,1,1
0,9,0,735,0.169333378867,0.830666621133,1,1
0,9,0,148,0.00363636363636,0.996363636364,1,1
0,9,0,98,0.125913129354,0.874086870646,1,1
0,9,0,662,0.153533535305,0.846466464695,1,1
0,9,0,884,0.162223074913,0.837776925087,1,1
0,9,0,575,0.518085497835,0.481914502165,0,1
0,9,0,461,0.594987026046,0.405012973954,0,1
0,9,0,739,0.260246600793,0.739753399207,1,1
% 
% 
%