% Python_3.7.3.
% Sklearn_0.20.3.
% NumPy_1.16.2.
% SciPy_1.2.1.
% Sat Mar 30 10:01:51 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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0,3,0,403,0.09984814753555431,0.10039148550247197,0.10152450200783314,0.09871403322209245,0.10113973936801561,0.09942882668344588,0.0992927568618754,0.09965664930595022,0.10051408014124828,0.09948977937151277,3,3
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0,3,0,597,0.10001274751285362,0.10059286958597337,0.10147978871612243,0.09885355282260035,0.10101061653176836,0.09945647370756128,0.0992894371082157,0.09943499364128312,0.1004525704207403,0.09941694995288138,3,3
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0,3,0,1070,0.10005275908171063,0.09999817440092601,0.10063256117712663,0.09883353444777873,0.10109626177142624,0.09986717354176267,0.09972376897376563,0.09942841284266003,0.10047711758815621,0.0998902361746876,5,6
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