% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Aug 28 07:58:51 2017
% Created by run_task()
@RELATION openml_task_3494_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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0,9,0,149,0.0154998184276,0.984500181572,1,1
0,9,0,482,0.0159374266663,0.984062573334,1,1
0,9,0,277,0.0400604681818,0.959939531818,1,1
0,9,0,71,0.039475857027,0.960524142973,1,1
0,9,0,204,0.0393938188384,0.960606181162,1,1
0,9,0,23,0.0436824002117,0.956317599788,1,1
0,9,0,326,0.0391150852811,0.960884914719,1,1
0,9,0,335,0.0421378921581,0.957862107842,1,1
0,9,0,207,0.0364384237287,0.963561576271,1,1
0,9,0,191,0.0403099103056,0.959690089694,1,1
0,9,0,495,0.0370625777981,0.962937422202,1,1
0,9,0,412,0.0162068374844,0.983793162516,1,1
0,9,0,188,0.0436824002117,0.956317599788,1,1
0,9,0,215,0.0407425761575,0.959257423842,1,1
% 
% 
%