% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 16:33:21 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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0,9,0,121,0.00322580645161,0.996774193548,1,1
0,9,0,878,0.332202619656,0.667797380344,1,1
0,9,0,174,0.117196189715,0.882803810285,1,1
0,9,0,18,0.316946141873,0.683053858127,1,1
0,9,0,11,0.737362607228,0.262637392772,0,1
0,9,0,472,0.805226779911,0.194773220089,0,1
0,9,0,584,0.765716217117,0.234283782883,0,1
0,9,0,576,0.729526879854,0.270473120146,0,1
0,9,0,503,0.00288888888889,0.997111111111,1,1
0,9,0,206,0.079536589267,0.920463410733,1,1
0,9,0,132,0.077091246188,0.922908753812,1,1
0,9,0,984,0.452734850079,0.547265149921,1,1
0,9,0,909,0.20767274235,0.79232725765,1,1
0,9,0,492,0.296797886689,0.703202113311,1,1
0,9,0,937,0.0542076571339,0.945792342866,1,1
0,9,0,408,0.000754716981132,0.999245283019,1,1
0,9,0,892,0.0785991240061,0.921400875994,1,1
0,9,0,52,0.00710648148148,0.992893518519,1,1
0,9,0,542,0.439508810147,0.560491189853,1,1
0,9,0,239,0.0269729437229,0.973027056277,1,1
0,9,0,816,0.00377093596059,0.996229064039,1,1
0,9,0,82,0.00140692640693,0.998593073593,1,1
0,9,0,232,0.0106663334999,0.9893336665,1,1
0,9,0,516,0.01,0.99,1,1
0,9,0,554,0.00288888888889,0.997111111111,1,1
0,9,0,448,0.232858941176,0.767141058824,1,1
0,9,0,846,0.0146804278365,0.985319572164,1,1
0,9,0,217,0.0682973953477,0.931702604652,1,1
0,9,0,983,0.448136374307,0.551863625693,1,1
0,9,0,362,0.0,1.0,1,1
0,9,0,356,0.0254344821845,0.974565517816,1,1
0,9,0,85,0.00140692640693,0.998593073593,1,1
0,9,0,22,0.0633116118708,0.936688388129,1,1
0,9,0,190,0.0819990185144,0.918000981486,1,1
0,9,0,92,0.00322580645161,0.996774193548,1,1
0,9,0,941,0.336191196084,0.663808803916,1,1
0,9,0,549,0.077733811507,0.922266188493,1,1
0,9,0,716,0.105926014565,0.894073985435,1,1
0,9,0,299,0.000434782608696,0.999565217391,1,1
0,9,0,551,0.00666666666667,0.993333333333,1,1
0,9,0,661,0.090093290558,0.909906709442,1,1
0,9,0,102,0.0096,0.9904,1,1
0,9,0,1010,0.396167758426,0.603832241574,1,1
0,9,0,530,0.0348000222009,0.965199977799,1,1
0,9,0,290,0.0,1.0,1,1
0,9,0,208,0.079536589267,0.920463410733,1,1
0,9,0,988,0.387392454839,0.612607545161,1,1
0,9,0,665,0.0147582499073,0.985241750093,1,1
0,9,0,803,0.0234154201441,0.976584579856,1,1
0,9,0,447,0.637269167361,0.362730832639,0,1
0,9,0,786,0.0384364377155,0.961563562285,1,1
0,9,0,381,0.0,1.0,1,1
0,9,0,181,0.09917474215,0.90082525785,1,1
0,9,0,34,0.0294611474323,0.970538852568,1,1
0,9,0,735,0.36956688731,0.63043311269,1,1
0,9,0,148,0.028141966298,0.971858033702,1,1
0,9,0,98,0.032158602816,0.967841397184,1,1
0,9,0,662,0.0119693094629,0.988030690537,1,1
0,9,0,884,0.155815299748,0.844184700252,1,1
0,9,0,575,0.752186844464,0.247813155536,0,1
0,9,0,461,0.752909745698,0.247090254302,0,1
0,9,0,739,0.503876583029,0.496123416971,0,1
% 
% 
%