% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Tue Jul 18 07:37:35 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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0,9,0,1010,0.0,1.0,1,1
0,9,0,530,0.00923076923077,0.990769230769,1,1
0,9,0,290,0.00307692307692,0.996923076923,1,1
0,9,0,208,0.00641025641026,0.99358974359,1,1
0,9,0,988,0.0116444444444,0.988355555556,1,1
0,9,0,665,0.0,1.0,1,1
0,9,0,803,0.0133484162896,0.98665158371,1,1
0,9,0,447,0.618904374107,0.381095625893,0,1
0,9,0,786,0.00923076923077,0.990769230769,1,1
0,9,0,381,0.0,1.0,1,1
0,9,0,181,0.0115384615385,0.988461538462,1,1
0,9,0,34,0.000769230769231,0.999230769231,1,1
0,9,0,735,0.138761446886,0.861238553114,1,1
0,9,0,148,0.0,1.0,1,1
0,9,0,98,0.0781705610179,0.921829438982,1,1
0,9,0,662,0.0,1.0,1,1
0,9,0,884,0.152119058119,0.847880941881,1,1
0,9,0,575,0.01,0.99,1,1
0,9,0,461,0.794819554407,0.205180445593,0,1
0,9,0,739,0.343734926731,0.656265073269,1,1
% 
% 
%