% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 02:34:30 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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0,9,0,1435,0.114868117177,0.00323902894491,0.038954565859,0.173168132521,0.00592015174368,0.663850003754,6,2
0,9,0,1682,0.0621654130184,0.246729383362,0.0597893266864,0.364901847336,0.012984333477,0.253429696121,4,2
0,9,0,5175,0.0430679467591,0.586250415434,0.0433074548001,0.134891220707,0.0861226510418,0.106360311257,2,2
0,9,0,1768,0.0340782175341,0.11184539725,0.199606925754,0.292477454735,0.00969140418405,0.352300600543,6,2
0,9,0,4953,0.367018129746,0.370378330003,0.126205873375,0.122089193486,0.012975140056,0.00133333333333,2,2
0,9,0,5516,0.152047619048,0.146673233629,0.00458823529412,0.140195165945,0.0220882352941,0.53440751079,6,2
0,9,0,4500,0.477985551213,0.167167333484,0.219083723466,0.0995621061945,0.0362012856425,0.0,1,2
0,9,0,5956,0.175513037616,0.413143279923,0.0415201212187,0.196332553068,0.069246671629,0.104244336546,2,2
0,9,0,5449,0.20086836856,0.5032393546,0.125798427879,0.114441407449,0.0550274415127,0.000625,2,2
0,9,0,3668,0.0637897870104,0.615504210659,0.0245702932688,0.12583944242,0.0657979757171,0.104498290925,2,2
0,9,0,800,0.160539685804,0.26119653141,0.427552013346,0.0845627607686,0.0195476549594,0.0466013537116,3,2
% 
% 
%