% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Tue Jul 18 03:51:04 2017
% Created by run_task()
@RELATION openml_task_9977_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE prediction {1, 2}
@ATTRIBUTE correct {1, 2}

@DATA
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0,9,0,20826,0.971580259113,0.0284197408871,1,1
0,9,0,17620,0.992637096774,0.00736290322581,1,1
0,9,0,30941,0.735876710363,0.264123289637,1,1
0,9,0,16438,1.0,0.0,1,1
0,9,0,30027,0.750410195244,0.249589804756,1,1
0,9,0,30338,0.812920884253,0.187079115747,1,1
0,9,0,24954,1.0,0.0,1,1
0,9,0,16855,0.986818647183,0.0131813528168,1,1
0,9,0,34230,0.941911832718,0.0580881672817,1,1
0,9,0,16153,0.976374832542,0.0236251674583,1,1
0,9,0,29944,0.621128271296,0.378871728704,1,1
0,9,0,30034,0.855576641249,0.144423358751,1,1
0,9,0,31825,0.480573773344,0.519426226656,2,1
0,9,0,29462,0.392830817891,0.607169182109,2,1
0,9,0,31536,0.488848714189,0.511151285811,2,1
0,9,0,17120,0.99319627193,0.00680372807018,1,1
0,9,0,25293,1.0,0.0,1,1
0,9,0,29729,0.965751403594,0.0342485964061,1,1
0,9,0,34151,0.994688228438,0.00531177156177,1,1
0,9,0,17525,1.0,0.0,1,1
0,9,0,28195,0.998666666667,0.00133333333333,1,1
0,9,0,33179,0.984767945505,0.0152320544952,1,1
0,9,0,29271,0.979962962963,0.020037037037,1,1
0,9,0,32010,1.0,0.0,1,1
0,9,0,32567,0.995559440559,0.00444055944056,1,1
0,9,0,29555,0.995277777778,0.00472222222222,1,1
0,9,0,32489,0.9975,0.0025,1,1
0,9,0,30476,0.994275862069,0.00572413793103,1,1
0,9,0,19148,0.619651670286,0.380348329714,1,1
0,9,0,19001,0.997590909091,0.00240909090909,1,1
0,9,0,29754,0.473397195584,0.526602804416,2,1
0,9,0,30412,0.0663365129197,0.93366348708,2,1
0,9,0,31860,0.356808910452,0.643191089548,2,1
0,9,0,31955,0.749284372449,0.250715627551,1,1
0,9,0,28724,0.995,0.005,1,1
0,9,0,17210,1.0,0.0,1,1
0,9,0,25218,0.834111350112,0.165888649888,1,1
0,9,0,24253,1.0,0.0,1,1
0,9,0,32845,1.0,0.0,1,1
0,9,0,18101,0.994781746032,0.00521825396825,1,1
0,9,0,23283,0.834384946246,0.165615053754,1,1
0,9,0,24819,0.88024848413,0.11975151587,1,1
0,9,0,30044,0.985891997183,0.0141080028168,1,1
0,9,0,24930,1.0,0.0,1,1
0,9,0,29884,0.468676225221,0.531323774779,2,1
0,9,0,24278,1.0,0.0,1,1
0,9,0,34218,0.911603376794,0.0883966232056,1,1
0,9,0,28975,1.0,0.0,1,1
0,9,0,33413,0.95399608537,0.0460039146301,1,1
0,9,0,25245,0.987440652914,0.0125593470857,1,1
0,9,0,31360,0.680122910442,0.319877089558,1,1
0,9,0,30743,0.808311238405,0.191688761595,1,1
0,9,0,31583,0.921901036798,0.0780989632017,1,1
0,9,0,33067,0.964165144048,0.0358348559523,1,1
0,9,0,24667,1.0,0.0,1,1
0,9,0,16552,0.997678571429,0.00232142857143,1,1
0,9,0,18114,0.994283068783,0.00571693121693,1,1
0,9,0,2625,0.999090909091,0.000909090909091,1,1
0,9,0,31472,0.786873374185,0.213126625815,1,1
0,9,0,25271,1.0,0.0,1,1
0,9,0,31686,0.941465173469,0.0585348265311,1,1
0,9,0,24460,0.999230769231,0.000769230769231,1,1
0,9,0,31410,0.950878267948,0.0491217320519,1,1
0,9,0,23581,0.89094630941,0.10905369059,1,1
% 
% 
%