% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Tue Jul 18 08:17:38 2017
% Created by run_task()
@RELATION openml_task_9960_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4}
@ATTRIBUTE correct {1, 2, 3, 4}

@DATA
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0,9,0,2695,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,775,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,1718,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,2699,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,2597,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,5299,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,2671,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,5324,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,2608,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,2677,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,1712,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,1681,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,5346,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
0,9,0,1719,0.23515006127,0.231022551136,0.305363351908,0.228464035685,3,3
% 
% 
%