% Python_3.6.7.
% Sklearn_0.20.3.
% NumPy_1.16.2.
% SciPy_1.2.1.
% Tue Apr 16 23:49:45 2019
% Created by run_task()
@RELATION openml_task_14_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 confidence.7 NUMERIC
@ATTRIBUTE confidence.8 NUMERIC
@ATTRIBUTE confidence.9 NUMERIC
@ATTRIBUTE confidence.10 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

@DATA
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0,1,0,1210,0.10155220691670853,0.09717531784147555,0.09907581263887176,0.09783228152099543,0.10194221772250335,0.09962770975312187,0.1018252681184416,0.09923910639288028,0.10108319381507098,0.10064688527993089,5,8
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0,2,0,434,0.10206457223158305,0.09626077731698464,0.10027113390595407,0.10034593685528324,0.10443977241250627,0.09903508882102283,0.09960781054875167,0.09860284105884472,0.09890047760374047,0.1004715892453289,5,4
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0,2,0,558,0.10184880054442873,0.09626923238194805,0.10027203556263188,0.09896373833255813,0.10427487092559748,0.09961931162905102,0.09942115338341363,0.0983469036737758,0.100709086499185,0.10027486706740987,5,4
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