% Python_3.7.3.
% Sklearn_0.20.3.
% NumPy_1.16.4.
% SciPy_1.2.1.
% Fri Jun  7 17:22:51 2019
% Created by run_task()
@RELATION openml_task_14968_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.band NUMERIC
@ATTRIBUTE confidence.noband NUMERIC
@ATTRIBUTE prediction {band, noband}
@ATTRIBUTE correct {band, noband}

@DATA
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0,0,0,188,0.48620196787224956,0.5137980321277504,noband,band
0,0,0,538,0.895209812978499,0.10479018702150102,band,band
0,0,0,477,0.3878311390940349,0.6121688609059651,noband,band
0,0,0,475,0.3878311390940349,0.6121688609059651,noband,band
0,0,0,411,0.3878311390940349,0.6121688609059651,noband,band
0,0,0,172,0.38936873249520076,0.6106312675047992,noband,band
0,0,0,374,0.4459635605661594,0.5540364394338406,noband,band
0,0,0,395,0.6059106947773429,0.3940893052226571,band,band
0,0,0,467,0.39399450411629733,0.6060054958837027,noband,band
0,0,0,362,0.43639102624032355,0.5636089737596764,noband,band
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0,0,0,501,0.895209812978499,0.10479018702150102,band,band
0,0,0,25,0.4942880655972334,0.5057119344027666,noband,band
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0,0,0,324,0.9011272503677279,0.09887274963227206,band,band
0,0,0,461,0.3878311390940349,0.6121688609059651,noband,band
0,0,0,512,0.895209812978499,0.10479018702150102,band,band
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0,0,0,450,0.4459635605661594,0.5540364394338406,noband,noband
0,0,0,369,0.4459635605661594,0.5540364394338406,noband,noband
0,0,0,321,0.43639102624032355,0.5636089737596764,noband,noband
0,0,0,288,0.3878311390940349,0.6121688609059651,noband,noband
0,0,0,261,0.3878311390940349,0.6121688609059651,noband,noband
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0,0,0,68,0.4459635605661594,0.5540364394338406,noband,noband
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0,2,0,410,0.3911878233846211,0.6088121766153789,noband,band
0,2,0,266,0.3911878233846211,0.6088121766153789,noband,band
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0,3,0,101,0.37133642340590955,0.6286635765940904,noband,noband
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