% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.11.3.
% SciPy_0.19.0.
% Mon Mar 27 15:04:09 2017
% Created by run_task()
@RELATION openml_task_42_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold 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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0,0,87,0.689366666667,0.310633333333,1,1
0,0,233,0.963166666667,0.0368333333333,1,1
0,0,173,0.984,0.016,1,1
0,0,149,0.856,0.144,1,1
0,0,303,0.21,0.79,2,1
0,0,278,0.838,0.162,1,1
0,0,59,0.5442,0.4558,1,1
0,0,187,0.45,0.55,2,1
0,0,132,0.976,0.024,1,1
0,0,29,0.865166666667,0.134833333333,1,1
0,0,289,0.966,0.034,1,1
0,0,226,0.838,0.162,1,1
0,0,60,0.533733333333,0.466266666667,1,1
0,0,93,0.724,0.276,1,1
0,0,35,0.8542,0.1458,1,1
0,0,129,0.97,0.03,1,1
0,0,17,0.63,0.37,1,1
0,0,26,0.998,0.002,1,1
0,0,120,0.982,0.018,1,1
0,0,101,0.519333333333,0.480666666667,1,1
0,0,40,0.898,0.102,1,1
0,0,133,0.358,0.642,2,1
0,0,274,0.76,0.24,1,2
0,0,190,0.434,0.566,2,2
0,0,8,0.94,0.06,1,2
0,0,156,0.564,0.436,1,2
0,0,159,0.596,0.404,1,2
0,0,124,0.388,0.612,2,2
0,0,114,0.926,0.074,1,2
0,0,43,0.61,0.39,1,2
0,1,42,0.809033333333,0.190966666667,1,1
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0,2,197,0.646,0.354,1,2
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0,3,239,0.9588,0.0412,1,2
0,3,160,0.152,0.848,2,2
0,3,240,0.69,0.31,1,2
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0,4,270,0.2603,0.7397,2,1
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0,4,67,0.829833333333,0.170166666667,1,1
0,4,206,0.968,0.032,1,1
0,4,6,0.602,0.398,1,1
0,4,218,0.676,0.324,1,1
0,4,300,0.602,0.398,1,1
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0,4,69,0.822,0.178,1,1
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0,4,58,0.848,0.152,1,1
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0,4,4,0.909,0.091,1,1
0,4,178,0.889333333333,0.110666666667,1,1
0,4,27,1.0,0.0,1,1
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0,4,244,0.346666666667,0.653333333333,2,1
0,4,214,0.85,0.15,1,1
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0,9,94,0.496,0.504,2,1
0,9,151,0.956666666667,0.0433333333333,1,1
0,9,66,0.406,0.594,2,1
0,9,220,0.974,0.026,1,1
0,9,185,0.308,0.692,2,1
0,9,28,0.924,0.076,1,1
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0,9,53,0.678833333333,0.321166666667,1,2
0,9,7,0.996,0.004,1,2
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0,9,180,0.582,0.418,1,2
0,9,191,0.908,0.092,1,2
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