% Python_3.6.7.
% Sklearn_0.20.3.
% NumPy_1.16.2.
% SciPy_1.2.1.
% Thu Apr 18 08:46:09 2019
% Created by run_task()
@RELATION openml_task_3561_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.at_home NUMERIC
@ATTRIBUTE confidence.away NUMERIC
@ATTRIBUTE prediction {at_home, away}
@ATTRIBUTE correct {at_home, away}

@DATA
0,0,0,293,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,25,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,414,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,208,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,631,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,238,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,298,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,225,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,19,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,187,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,465,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,361,0.6594026812672198,0.34059731873278015,at_home,at_home
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0,0,0,111,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,52,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,17,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,365,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,333,0.6594026812672198,0.34059731873278015,at_home,at_home
0,0,0,196,0.6594026812672198,0.34059731873278015,at_home,at_home
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0,0,0,428,0.6594026812672198,0.34059731873278015,at_home,away
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0,0,0,380,0.6594026812672198,0.34059731873278015,at_home,away
0,0,0,171,0.6594026812672198,0.34059731873278015,at_home,away
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0,1,0,619,0.6594026812672198,0.34059731873278015,at_home,at_home
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