% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Thu Jul 20 23:01:28 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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0,9,0,363,0.00217391304348,0.997826086957,1,1
0,9,0,591,0.66275689089,0.33724310911,0,1
0,9,0,485,0.0199464615095,0.98005353849,1,1
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0,9,0,501,0.0179908249957,0.982009175004,1,1
0,9,0,104,0.0412599012682,0.958740098732,1,1
0,9,0,213,0.100271776156,0.899728223844,1,1
0,9,0,429,0.0,1.0,1,1
0,9,0,757,0.36075167377,0.63924832623,1,1
0,9,0,302,0.0320026750124,0.967997324988,1,1
0,9,0,841,0.00526432806324,0.994735671937,1,1
0,9,0,121,0.01,0.99,1,1
0,9,0,878,0.298045786855,0.701954213145,1,1
0,9,0,174,0.131262058437,0.868737941563,1,1
0,9,0,18,0.211982723086,0.788017276914,1,1
0,9,0,11,0.705948511304,0.294051488696,0,1
0,9,0,472,0.833999269128,0.166000730872,0,1
0,9,0,584,0.660850840212,0.339149159788,0,1
0,9,0,576,0.604800952692,0.395199047308,0,1
0,9,0,503,0.000571428571429,0.999428571429,1,1
0,9,0,206,0.081477406894,0.918522593106,1,1
0,9,0,132,0.0549885435896,0.94501145641,1,1
0,9,0,984,0.387438434339,0.612561565661,1,1
0,9,0,909,0.186871092121,0.813128907879,1,1
0,9,0,492,0.250380540261,0.749619459739,1,1
0,9,0,937,0.0641680354365,0.935831964564,1,1
0,9,0,408,0.0,1.0,1,1
0,9,0,892,0.0864346264724,0.913565373528,1,1
0,9,0,52,0.0438727599597,0.95612724004,1,1
0,9,0,542,0.407689882862,0.592310117138,1,1
0,9,0,239,0.0387996235349,0.961200376465,1,1
0,9,0,816,0.0170401656315,0.982959834369,1,1
0,9,0,82,0.0378868853952,0.962113114605,1,1
0,9,0,232,0.0317397435897,0.96826025641,1,1
0,9,0,516,0.00666666666667,0.993333333333,1,1
0,9,0,554,0.000571428571429,0.999428571429,1,1
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0,9,0,846,0.0180310920035,0.981968907996,1,1
0,9,0,217,0.0995146480181,0.900485351982,1,1
0,9,0,983,0.43331983193,0.56668016807,1,1
0,9,0,362,0.00217391304348,0.997826086957,1,1
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0,9,0,22,0.0337088404879,0.966291159512,1,1
0,9,0,190,0.083406043345,0.916593956655,1,1
0,9,0,92,0.00411764705882,0.995882352941,1,1
0,9,0,941,0.333353257388,0.666646742612,1,1
0,9,0,549,0.0952346681909,0.904765331809,1,1
0,9,0,716,0.102372921699,0.897627078301,1,1
0,9,0,299,0.0,1.0,1,1
0,9,0,551,0.0216213235294,0.978378676471,1,1
0,9,0,661,0.108388534482,0.891611465518,1,1
0,9,0,102,0.0222751322751,0.977724867725,1,1
0,9,0,1010,0.32340212168,0.67659787832,1,1
0,9,0,530,0.0623999197019,0.937600080298,1,1
0,9,0,290,0.00129032258065,0.998709677419,1,1
0,9,0,208,0.081477406894,0.918522593106,1,1
0,9,0,988,0.333826781207,0.666173218793,1,1
0,9,0,665,0.0313344630979,0.968665536902,1,1
0,9,0,803,0.026704227567,0.973295772433,1,1
0,9,0,447,0.629146379478,0.370853620522,0,1
0,9,0,786,0.0116977696217,0.988302230378,1,1
0,9,0,381,0.0,1.0,1,1
0,9,0,181,0.122741082,0.877258918,1,1
0,9,0,34,0.010836731085,0.989163268915,1,1
0,9,0,735,0.348989775787,0.651010224213,1,1
0,9,0,148,0.0154884307377,0.984511569262,1,1
0,9,0,98,0.0740039912697,0.92599600873,1,1
0,9,0,662,0.0512970499035,0.948702950096,1,1
0,9,0,884,0.168987221714,0.831012778286,1,1
0,9,0,575,0.59111076559,0.40888923441,0,1
0,9,0,461,0.770885456181,0.229114543819,0,1
0,9,0,739,0.457827598953,0.542172401047,1,1
% 
% 
%