% Python_3.6.7.
% Sklearn_0.20.3.
% NumPy_1.16.2.
% SciPy_1.2.1.
% Thu Apr 18 08:45:05 2019
% Created by run_task()
@RELATION openml_task_3913_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.no NUMERIC
@ATTRIBUTE confidence.yes NUMERIC
@ATTRIBUTE prediction {no, yes}
@ATTRIBUTE correct {no, yes}

@DATA
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0,9,0,306,0.833496350275688,0.16650364972431195,no,no
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0,9,0,89,0.833496350275688,0.16650364972431195,no,no
0,9,0,176,0.833496350275688,0.16650364972431195,no,no
0,9,0,272,0.833496350275688,0.16650364972431195,no,no
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0,9,0,413,0.833496350275688,0.16650364972431195,no,no
0,9,0,405,0.833496350275688,0.16650364972431195,no,no
0,9,0,18,0.833496350275688,0.16650364972431195,no,no
0,9,0,184,0.833496350275688,0.16650364972431195,no,no
0,9,0,364,0.833496350275688,0.16650364972431195,no,no
0,9,0,344,0.833496350275688,0.16650364972431195,no,no
0,9,0,94,0.833496350275688,0.16650364972431195,no,no
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0,9,0,348,0.833496350275688,0.16650364972431195,no,no
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0,9,0,143,0.833496350275688,0.16650364972431195,no,no
0,9,0,448,0.833496350275688,0.16650364972431195,no,yes
0,9,0,510,0.833496350275688,0.16650364972431195,no,yes
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