% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 09:20:25 2017
% Created by run_task()
@RELATION openml_task_9985_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 confidence.5 NUMERIC
@ATTRIBUTE confidence.6 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0,9,0,3976,0.223496459015,0.149316324001,0.167642043131,0.124732404673,0.242520062083,0.0922927070966,5,2
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0,9,0,5175,0.157647196724,0.222691785077,0.102436073467,0.146692878136,0.0824577560898,0.288074310507,6,2
0,9,0,1768,0.0934122479837,0.130888608853,0.260119889166,0.225421073595,0.031779261231,0.258378919172,3,2
0,9,0,4953,0.316805918731,0.313693721475,0.108266113096,0.18839006888,0.0478459811735,0.0249981966439,1,2
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0,9,0,4500,0.284429811838,0.215451061516,0.193320040288,0.172495254655,0.118458788423,0.0158450432803,1,2
0,9,0,5956,0.195966492535,0.319649829472,0.0390146764684,0.160812340174,0.0441430126178,0.240413648733,2,2
0,9,0,5449,0.292764595659,0.285291473528,0.15605646161,0.145649359823,0.0968464043718,0.0233917050079,1,2
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0,9,0,800,0.271413269023,0.245765032755,0.236077797401,0.0919308008543,0.0243476897,0.130465410267,1,2
% 
% 
%