% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 06:46:47 2017
% Created by run_task()
@RELATION openml_task_3950_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.0 NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE prediction {0, 1}
@ATTRIBUTE correct {0, 1}

@DATA
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0,9,0,290,0.00514637681159,0.994853623188,1,1
0,9,0,208,0.0548656468497,0.94513435315,1,1
0,9,0,988,0.375868463638,0.624131536362,1,1
0,9,0,665,0.178798389046,0.821201610954,1,1
0,9,0,803,0.04296198839,0.95703801161,1,1
0,9,0,447,0.350019328756,0.649980671244,1,1
0,9,0,786,0.009103265575,0.990896734425,1,1
0,9,0,381,0.00126811594203,0.998731884058,1,1
0,9,0,181,0.136436288352,0.863563711648,1,1
0,9,0,34,0.0262548384645,0.973745161535,1,1
0,9,0,735,0.326258167153,0.673741832847,1,1
0,9,0,148,0.0095365918468,0.990463408153,1,1
0,9,0,98,0.198354704848,0.801645295152,1,1
0,9,0,662,0.264372948226,0.735627051774,1,1
0,9,0,884,0.199517869508,0.800482130492,1,1
0,9,0,575,0.792009689975,0.207990310025,0,1
0,9,0,461,0.614013822495,0.385986177505,0,1
0,9,0,739,0.332390923905,0.667609076095,1,1
% 
% 
%