% Python_3.6.3.
% Sklearn_0.19.1.
% NumPy_1.13.3.
% SciPy_1.0.0.
% Sun May  6 14:15:21 2018
% Created by run_task()
@RELATION openml_task_10094_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
0.0,0.0,0.0,24.0,0.125,0.875,2,2
0.0,0.0,0.0,89.0,0.0,1.0,2,2
0.0,0.0,0.0,11.0,0.0,1.0,2,2
0.0,0.0,0.0,55.0,0.0,1.0,2,2
0.0,0.0,0.0,0.0,1.0,0.0,1,2
0.0,0.0,0.0,74.0,0.125,0.875,2,2
0.0,0.0,0.0,16.0,0.0,1.0,2,2
0.0,0.0,0.0,90.0,0.125,0.875,2,1
0.0,0.0,0.0,38.0,1.0,0.0,1,1
0.0,0.0,0.0,43.0,1.0,0.0,1,1
0.0,1.0,0.0,54.0,0.0,1.0,2,2
0.0,1.0,0.0,15.0,0.0,1.0,2,2
0.0,1.0,0.0,7.0,0.5,0.5,1,2
0.0,1.0,0.0,83.0,0.0,1.0,2,2
0.0,1.0,0.0,65.0,0.0,1.0,2,2
0.0,1.0,0.0,21.0,0.0,1.0,2,2
0.0,1.0,0.0,51.0,0.1875,0.8125,2,2
0.0,1.0,0.0,97.0,1.0,0.0,1,1
0.0,1.0,0.0,58.0,0.5,0.5,1,1
0.0,1.0,0.0,62.0,0.0,1.0,2,1
0.0,2.0,0.0,94.0,0.0,1.0,2,2
0.0,2.0,0.0,17.0,0.0,1.0,2,2
0.0,2.0,0.0,4.0,0.0,1.0,2,2
0.0,2.0,0.0,64.0,0.2,0.8,2,2
0.0,2.0,0.0,56.0,0.2,0.8,2,2
0.0,2.0,0.0,26.0,0.0,1.0,2,2
0.0,2.0,0.0,36.0,1.0,0.0,1,2
0.0,2.0,0.0,8.0,0.3333333333333333,0.6666666666666666,2,1
0.0,2.0,0.0,96.0,1.0,0.0,1,1
0.0,2.0,0.0,22.0,0.0,1.0,2,1
0.0,3.0,0.0,80.0,0.0,1.0,2,2
0.0,3.0,0.0,76.0,0.0,1.0,2,2
0.0,3.0,0.0,27.0,0.0,1.0,2,2
0.0,3.0,0.0,28.0,0.0,1.0,2,2
0.0,3.0,0.0,91.0,0.0,1.0,2,2
0.0,3.0,0.0,52.0,0.0,1.0,2,2
0.0,3.0,0.0,33.0,0.0,1.0,2,2
0.0,3.0,0.0,72.0,1.0,0.0,1,1
0.0,3.0,0.0,29.0,1.0,0.0,1,1
0.0,3.0,0.0,73.0,1.0,0.0,1,1
0.0,4.0,0.0,42.0,0.1875,0.8125,2,2
0.0,4.0,0.0,2.0,0.0,1.0,2,2
0.0,4.0,0.0,68.0,0.0,1.0,2,2
0.0,4.0,0.0,86.0,0.0,1.0,2,2
0.0,4.0,0.0,35.0,0.0,1.0,2,2
0.0,4.0,0.0,84.0,0.0,1.0,2,2
0.0,4.0,0.0,59.0,0.0,1.0,2,2
0.0,4.0,0.0,13.0,1.0,0.0,1,1
0.0,4.0,0.0,46.0,1.0,0.0,1,1
0.0,4.0,0.0,82.0,0.5,0.5,1,1
0.0,5.0,0.0,99.0,0.0,1.0,2,2
0.0,5.0,0.0,45.0,0.0,1.0,2,2
0.0,5.0,0.0,9.0,0.3333333333333333,0.6666666666666666,2,2
0.0,5.0,0.0,6.0,0.26666666666666666,0.7333333333333333,2,2
0.0,5.0,0.0,92.0,0.26666666666666666,0.7333333333333333,2,2
0.0,5.0,0.0,3.0,0.26666666666666666,0.7333333333333333,2,2
0.0,5.0,0.0,25.0,0.26666666666666666,0.7333333333333333,2,2
0.0,5.0,0.0,48.0,1.0,0.0,1,1
0.0,5.0,0.0,37.0,1.0,0.0,1,1
0.0,5.0,0.0,32.0,0.3333333333333333,0.6666666666666666,2,1
0.0,6.0,0.0,44.0,0.0,1.0,2,2
0.0,6.0,0.0,67.0,0.2,0.8,2,2
0.0,6.0,0.0,95.0,0.0,1.0,2,2
0.0,6.0,0.0,5.0,0.0,1.0,2,2
0.0,6.0,0.0,66.0,0.0,1.0,2,2
0.0,6.0,0.0,1.0,0.17647058823529413,0.8235294117647058,2,2
0.0,6.0,0.0,61.0,0.0,1.0,2,2
0.0,6.0,0.0,19.0,0.2,0.8,2,1
0.0,6.0,0.0,40.0,0.17647058823529413,0.8235294117647058,2,1
0.0,6.0,0.0,87.0,1.0,0.0,1,1
0.0,7.0,0.0,34.0,0.0,1.0,2,2
0.0,7.0,0.0,18.0,0.0,1.0,2,2
0.0,7.0,0.0,70.0,0.0,1.0,2,2
0.0,7.0,0.0,14.0,0.2222222222222222,0.7777777777777778,2,2
0.0,7.0,0.0,49.0,0.0,1.0,2,2
0.0,7.0,0.0,57.0,0.6666666666666666,0.3333333333333333,1,2
0.0,7.0,0.0,60.0,1.0,0.0,1,2
0.0,7.0,0.0,47.0,1.0,0.0,1,1
0.0,7.0,0.0,31.0,1.0,0.0,1,1
0.0,7.0,0.0,81.0,1.0,0.0,1,1
0.0,8.0,0.0,41.0,0.0,1.0,2,2
0.0,8.0,0.0,71.0,0.0,1.0,2,2
0.0,8.0,0.0,75.0,0.15384615384615385,0.8461538461538461,2,2
0.0,8.0,0.0,20.0,0.15384615384615385,0.8461538461538461,2,2
0.0,8.0,0.0,10.0,1.0,0.0,1,2
0.0,8.0,0.0,50.0,0.15384615384615385,0.8461538461538461,2,2
0.0,8.0,0.0,88.0,1.0,0.0,1,1
0.0,8.0,0.0,12.0,0.15384615384615385,0.8461538461538461,2,1
0.0,8.0,0.0,93.0,1.0,0.0,1,1
0.0,8.0,0.0,69.0,1.0,0.0,1,1
0.0,9.0,0.0,85.0,0.0,1.0,2,2
0.0,9.0,0.0,78.0,0.0,1.0,2,2
0.0,9.0,0.0,39.0,0.0,1.0,2,2
0.0,9.0,0.0,30.0,0.0,1.0,2,2
0.0,9.0,0.0,53.0,0.1875,0.8125,2,2
0.0,9.0,0.0,77.0,0.0,1.0,2,2
0.0,9.0,0.0,79.0,1.0,0.0,1,1
0.0,9.0,0.0,23.0,1.0,0.0,1,1
0.0,9.0,0.0,63.0,1.0,0.0,1,1
0.0,9.0,0.0,98.0,1.0,0.0,1,1
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