% Python_2.7.13.
% Sklearn_0.18.1.
% NumPy_1.11.3.
% SciPy_0.18.1.
% 08/22/17 18:06:36
% Created by run_task()
@RELATION openml_task_146609_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
0,0,0,54,1.0,0.0,1,1
0,0,0,149,1.0,0.0,1,1
0,0,0,4,1.0,0.0,1,1
0,0,0,70,1.0,0.0,1,1
0,0,0,40,0.0,1.0,2,1
0,0,0,81,0.0,1.0,2,1
0,0,0,102,0.0,1.0,2,1
0,0,0,136,0.0,1.0,2,1
0,0,0,134,1.0,0.0,1,1
0,0,0,0,0.0,1.0,2,2
0,0,0,73,0.0,1.0,2,2
0,0,0,105,0.0,1.0,2,2
0,0,0,88,0.0,1.0,2,2
0,0,0,129,0.0,1.0,2,2
0,0,0,20,0.0,1.0,2,2
0,0,0,155,0.0,1.0,2,2
0,0,0,9,0.5,0.5,1,2
0,1,0,141,0.0,1.0,2,1
0,1,0,50,0.0,1.0,2,1
0,1,0,16,0.0,1.0,2,1
0,1,0,115,0.0,1.0,2,1
0,1,0,30,0.0,1.0,2,1
0,1,0,111,1.0,0.0,1,1
0,1,0,72,1.0,0.0,1,1
0,1,0,24,0.0,1.0,2,1
0,1,0,87,0.0,1.0,2,1
0,1,0,57,0.0,1.0,2,2
0,1,0,47,0.0,1.0,2,2
0,1,0,159,0.0,1.0,2,2
0,1,0,32,1.0,0.0,1,2
0,1,0,107,1.0,0.0,1,2
0,1,0,139,0.0,1.0,2,2
0,1,0,22,0.0,1.0,2,2
0,1,0,156,1.0,0.0,1,2
0,2,0,131,1.0,0.0,1,1
0,2,0,2,1.0,0.0,1,1
0,2,0,137,1.0,0.0,1,1
0,2,0,103,1.0,0.0,1,1
0,2,0,48,0.0,1.0,2,1
0,2,0,17,0.0,1.0,2,1
0,2,0,49,1.0,0.0,1,1
0,2,0,135,1.0,0.0,1,1
0,2,0,98,1.0,0.0,1,1
0,2,0,128,0.0,1.0,2,2
0,2,0,55,0.0,1.0,2,2
0,2,0,118,0.0,1.0,2,2
0,2,0,144,0.0,1.0,2,2
0,2,0,56,0.0,1.0,2,2
0,2,0,76,0.0,1.0,2,2
0,2,0,26,1.0,0.0,1,2
0,3,0,154,1.0,0.0,1,1
0,3,0,12,0.0,1.0,2,1
0,3,0,44,0.0,1.0,2,1
0,3,0,90,1.0,0.0,1,1
0,3,0,97,1.0,0.0,1,1
0,3,0,123,1.0,0.0,1,1
0,3,0,18,0.0,1.0,2,1
0,3,0,60,1.0,0.0,1,1
0,3,0,29,1.0,0.0,1,1
0,3,0,68,0.0,1.0,2,2
0,3,0,108,1.0,0.0,1,2
0,3,0,106,0.0,1.0,2,2
0,3,0,62,0.0,1.0,2,2
0,3,0,148,1.0,0.0,1,2
0,3,0,41,1.0,0.0,1,2
0,3,0,13,1.0,0.0,1,2
0,4,0,58,0.0,1.0,2,1
0,4,0,67,0.0,1.0,2,1
0,4,0,120,1.0,0.0,1,1
0,4,0,151,1.0,0.0,1,1
0,4,0,10,0.0,1.0,2,1
0,4,0,43,1.0,0.0,1,1
0,4,0,28,1.0,0.0,1,1
0,4,0,35,1.0,0.0,1,1
0,4,0,78,1.0,0.0,1,1
0,4,0,84,0.0,1.0,2,2
0,4,0,121,0.0,1.0,2,2
0,4,0,101,0.0,1.0,2,2
0,4,0,113,1.0,0.0,1,2
0,4,0,127,0.0,1.0,2,2
0,4,0,99,1.0,0.0,1,2
0,4,0,36,0.0,1.0,2,2
0,5,0,92,1.0,0.0,1,1
0,5,0,25,0.0,1.0,2,1
0,5,0,79,1.0,0.0,1,1
0,5,0,27,1.0,0.0,1,1
0,5,0,94,1.0,0.0,1,1
0,5,0,124,0.0,1.0,2,1
0,5,0,157,1.0,0.0,1,1
0,5,0,143,1.0,0.0,1,1
0,5,0,3,0.0,1.0,2,2
0,5,0,91,1.0,0.0,1,2
0,5,0,64,0.0,1.0,2,2
0,5,0,34,0.0,1.0,2,2
0,5,0,21,1.0,0.0,1,2
0,5,0,71,1.0,0.0,1,2
0,5,0,132,0.0,1.0,2,2
0,5,0,61,1.0,0.0,1,2
0,6,0,85,1.0,0.0,1,1
0,6,0,95,1.0,0.0,1,1
0,6,0,31,1.0,0.0,1,1
0,6,0,158,0.0,1.0,2,1
0,6,0,39,0.0,1.0,2,1
0,6,0,15,1.0,0.0,1,1
0,6,0,122,0.0,1.0,2,1
0,6,0,23,1.0,0.0,1,1
0,6,0,42,1.0,0.0,1,2
0,6,0,142,0.0,1.0,2,2
0,6,0,150,0.0,1.0,2,2
0,6,0,93,1.0,0.0,1,2
0,6,0,130,0.0,1.0,2,2
0,6,0,114,1.0,0.0,1,2
0,6,0,140,0.0,1.0,2,2
0,6,0,109,1.0,0.0,1,2
0,7,0,19,0.0,1.0,2,1
0,7,0,147,1.0,0.0,1,1
0,7,0,1,1.0,0.0,1,1
0,7,0,69,1.0,0.0,1,1
0,7,0,75,1.0,0.0,1,1
0,7,0,7,1.0,0.0,1,1
0,7,0,89,1.0,0.0,1,1
0,7,0,37,1.0,0.0,1,1
0,7,0,38,1.0,0.0,1,2
0,7,0,96,0.0,1.0,2,2
0,7,0,83,1.0,0.0,1,2
0,7,0,74,0.0,1.0,2,2
0,7,0,80,1.0,0.0,1,2
0,7,0,8,0.0,1.0,2,2
0,7,0,65,0.0,1.0,2,2
0,7,0,11,1.0,0.0,1,2
0,8,0,53,1.0,0.0,1,1
0,8,0,66,1.0,0.0,1,1
0,8,0,100,0.0,1.0,2,1
0,8,0,45,0.0,1.0,2,1
0,8,0,116,0.5,0.5,1,1
0,8,0,160,1.0,0.0,1,1
0,8,0,6,1.0,0.0,1,1
0,8,0,119,1.0,0.0,1,1
0,8,0,33,0.0,1.0,2,2
0,8,0,161,0.0,1.0,2,2
0,8,0,63,0.5,0.5,1,2
0,8,0,112,0.0,1.0,2,2
0,8,0,117,0.0,1.0,2,2
0,8,0,153,1.0,0.0,1,2
0,8,0,126,1.0,0.0,1,2
0,8,0,104,1.0,0.0,1,2
0,9,0,125,0.0,1.0,2,1
0,9,0,46,1.0,0.0,1,1
0,9,0,110,0.0,1.0,2,1
0,9,0,152,1.0,0.0,1,1
0,9,0,133,0.0,1.0,2,1
0,9,0,82,1.0,0.0,1,1
0,9,0,52,1.0,0.0,1,1
0,9,0,59,1.0,0.0,1,1
0,9,0,138,1.0,0.0,1,2
0,9,0,5,1.0,0.0,1,2
0,9,0,145,1.0,0.0,1,2
0,9,0,146,1.0,0.0,1,2
0,9,0,77,0.0,1.0,2,2
0,9,0,51,0.0,1.0,2,2
0,9,0,86,0.0,1.0,2,2
0,9,0,14,1.0,0.0,1,2
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