% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 07:05:19 2017
% Created by run_task()
@RELATION openml_task_9985_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 prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0,9,0,5023,0.0752074722663,0.0544357333843,0.0555054536966,0.0583154329331,0.0150536824287,0.741482225291,6,2
0,9,0,4317,0.0863065455786,0.557124627823,0.138165813761,0.140090366333,0.0297853298662,0.0485273166376,2,2
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0,9,0,1768,0.0428061538135,0.154476268829,0.145027896123,0.273937460415,0.00456818181818,0.379184039,6,2
0,9,0,4953,0.338613395591,0.39370133951,0.0840328413417,0.179044919949,0.0046075036075,0.0,2,2
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0,9,0,4500,0.47529569695,0.157965545076,0.23335986236,0.0795943925356,0.0537845030786,0.0,1,2
0,9,0,5956,0.230604367038,0.38309347352,0.0206513772176,0.241501706627,0.050606350349,0.0735427252486,2,2
0,9,0,5449,0.280593301307,0.438861790171,0.132880148446,0.102139956449,0.0455248036277,0.0,2,2
0,9,0,3668,0.0551058043264,0.498594112587,0.0646443189164,0.14749303964,0.0741400021547,0.160022722376,2,2
0,9,0,800,0.111924605623,0.282363282143,0.497191186265,0.078301262463,0.00611998132586,0.0240996821806,3,2
% 
% 
%