% Python_3.6.3.
% Sklearn_0.18.2.
% NumPy_1.13.3.
% SciPy_0.19.1.
% Fri Jan  5 19:09:51 2018
% Created by run_task()
@RELATION openml_task_9971_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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0,7,0,54,0.778571428571,0.221428571429,1,1
0,7,0,90,1.0,0.0,1,1
0,7,0,94,0.955555555556,0.0444444444444,1,1
0,7,0,249,0.45,0.55,2,1
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0,7,0,4,0.9875,0.0125,1,1
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0,7,0,380,0.765757575758,0.234242424242,1,1
0,7,0,352,0.345833333333,0.654166666667,2,1
0,7,0,357,0.558928571429,0.441071428571,1,1
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0,7,0,270,0.493333333333,0.506666666667,2,1
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0,7,0,481,1.0,0.0,1,1
0,7,0,498,0.329671717172,0.670328282828,2,1
0,7,0,73,0.422222222222,0.577777777778,2,1
0,7,0,244,0.800735294118,0.199264705882,1,1
0,7,0,67,0.572420634921,0.427579365079,1,1
0,8,0,276,0.471212121212,0.528787878788,2,2
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0,8,0,198,0.381060606061,0.618939393939,2,2
0,8,0,426,0.436666666667,0.563333333333,2,2
0,8,0,305,0.567521367521,0.432478632479,1,2
0,8,0,132,0.541136363636,0.458863636364,1,2
0,8,0,34,0.7175,0.2825,1,2
0,8,0,100,0.530158730159,0.469841269841,1,2
0,8,0,355,0.219090909091,0.780909090909,2,2
0,8,0,140,0.420303030303,0.579696969697,2,2
0,8,0,45,0.888888888889,0.111111111111,1,2
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0,8,0,250,0.8375,0.1625,1,1
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0,8,0,120,1.0,0.0,1,1
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0,8,0,330,0.675,0.325,1,1
0,8,0,550,0.885,0.115,1,1
0,8,0,18,0.963333333333,0.0366666666667,1,1
0,8,0,279,0.537243867244,0.462756132756,1,1
0,8,0,570,0.7125,0.2875,1,1
0,8,0,487,0.963333333333,0.0366666666667,1,1
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0,8,0,511,0.95,0.05,1,1
0,8,0,221,0.454289044289,0.545710955711,2,1
0,8,0,199,0.8875,0.1125,1,1
0,8,0,581,0.508095238095,0.491904761905,1,1
0,8,0,562,1.0,0.0,1,1
0,8,0,76,0.775353535354,0.224646464646,1,1
0,8,0,405,0.474796037296,0.525203962704,2,1
0,8,0,25,1.0,0.0,1,1
0,8,0,348,0.545,0.455,1,1
0,8,0,289,0.9,0.1,1,1
0,8,0,375,0.883076923077,0.116923076923,1,1
0,8,0,151,0.420833333333,0.579166666667,2,1
0,8,0,412,0.9125,0.0875,1,1
0,8,0,393,0.8,0.2,1,1
0,8,0,324,0.9,0.1,1,1
0,8,0,201,0.890909090909,0.109090909091,1,1
0,8,0,382,0.381428571429,0.618571428571,2,1
0,9,0,293,0.43,0.57,2,2
0,9,0,377,0.321428571429,0.678571428571,2,2
0,9,0,36,0.458214285714,0.541785714286,2,2
0,9,0,59,0.369206349206,0.630793650794,2,2
0,9,0,379,0.798351648352,0.201648351648,1,2
0,9,0,131,0.836666666667,0.163333333333,1,2
0,9,0,57,0.76,0.24,1,2
0,9,0,29,0.89358974359,0.10641025641,1,2
0,9,0,145,0.447777777778,0.552222222222,2,2
0,9,0,41,0.856666666667,0.143333333333,1,2
0,9,0,495,0.588235294118,0.411764705882,1,2
0,9,0,15,0.725641025641,0.274358974359,1,2
0,9,0,530,0.557142857143,0.442857142857,1,2
0,9,0,512,0.776388888889,0.223611111111,1,2
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0,9,0,128,0.810833333333,0.189166666667,1,1
0,9,0,186,0.95,0.05,1,1
0,9,0,10,0.8875,0.1125,1,1
0,9,0,217,0.370454545455,0.629545454545,2,1
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0,9,0,61,0.734155844156,0.265844155844,1,1
0,9,0,147,0.611111111111,0.388888888889,1,1
0,9,0,92,1.0,0.0,1,1
0,9,0,314,0.653136446886,0.346863553114,1,1
0,9,0,149,0.405252525253,0.594747474747,2,1
0,9,0,520,0.65891025641,0.34108974359,1,1
0,9,0,206,0.988888888889,0.0111111111111,1,1
0,9,0,446,0.81,0.19,1,1
0,9,0,385,0.226748251748,0.773251748252,2,1
0,9,0,138,0.841125541126,0.158874458874,1,1
0,9,0,401,0.762698412698,0.237301587302,1,1
0,9,0,418,0.922222222222,0.0777777777778,1,1
0,9,0,164,0.593895687646,0.406104312354,1,1
0,9,0,91,1.0,0.0,1,1
0,9,0,389,0.976923076923,0.0230769230769,1,1
0,9,0,257,0.903418803419,0.0965811965812,1,1
0,9,0,23,0.85,0.15,1,1
0,9,0,83,0.927272727273,0.0727272727273,1,1
0,9,0,565,0.618253968254,0.381746031746,1,1
0,9,0,141,0.805555555556,0.194444444444,1,1
0,9,0,173,0.733333333333,0.266666666667,1,1
0,9,0,436,0.766013071895,0.233986928105,1,1
0,9,0,169,1.0,0.0,1,1
0,9,0,251,1.0,0.0,1,1
0,9,0,378,0.590792540793,0.409207459207,1,1
0,9,0,492,0.889393939394,0.110606060606,1,1
0,9,0,429,0.95,0.05,1,1
0,9,0,87,0.92380952381,0.0761904761905,1,1
0,9,0,347,0.772727272727,0.227272727273,1,1
0,9,0,292,0.556262626263,0.443737373737,1,1
0,9,0,207,1.0,0.0,1,1
% 
% 
%