% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 15:34:37 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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0,9,0,592,0.874518673947,0.125481326053,0,1
0,9,0,363,1.03686784544e-13,1.0,0,1
0,9,0,591,0.874518674192,0.125481325808,0,1
0,9,0,485,0.874518674544,0.125481325456,0,1
0,9,0,707,0.87451867454,0.12548132546,0,1
0,9,0,501,0.874518674544,0.125481325456,0,1
0,9,0,104,1.52933961535e-13,1.0,0,1
0,9,0,213,3.0000009e-14,1.0,1,1
0,9,0,429,3.0000009e-14,1.0,1,1
0,9,0,757,0.874510651017,0.125489348983,0,1
0,9,0,302,3.0000009e-14,1.0,1,1
0,9,0,841,0.87404464017,0.12595535983,0,1
0,9,0,121,3.0000009e-14,1.0,1,1
0,9,0,878,0.874518221669,0.125481778331,0,1
0,9,0,174,3.0000009e-14,1.0,1,1
0,9,0,18,3.0000009e-14,1.0,1,1
0,9,0,11,3.0000009e-14,1.0,1,1
0,9,0,472,0.874518703846,0.125481296154,0,1
0,9,0,584,0.87451867434,0.12548132566,0,1
0,9,0,576,0.87451865893,0.12548134107,0,1
0,9,0,503,0.874518674541,0.125481325459,0,1
0,9,0,206,1.08563292624e-13,1.0,0,1
0,9,0,132,3.0000009e-14,1.0,1,1
0,9,0,984,0.874512128048,0.125487871952,0,1
0,9,0,909,0.874518532099,0.125481467901,0,1
0,9,0,492,0.874518674517,0.125481325483,0,1
0,9,0,937,0.873889790675,0.126110209325,0,1
0,9,0,408,3.0000009e-14,1.0,1,1
0,9,0,892,0.874343552675,0.125656447325,0,1
0,9,0,52,0.00948845850858,0.990511541491,0,1
0,9,0,542,0.874518680284,0.125481319716,0,1
0,9,0,239,3.0000009e-14,1.0,1,1
0,9,0,816,0.874518588493,0.125481411507,0,1
0,9,0,82,1.10237301121e-13,1.0,0,1
0,9,0,232,3.0000009e-14,1.0,1,1
0,9,0,516,0.874518674544,0.125481325456,0,1
0,9,0,554,0.874514874715,0.125485125285,0,1
0,9,0,448,0.874518674544,0.125481325456,0,1
0,9,0,846,0.874372894003,0.125627105997,0,1
0,9,0,217,3.0000009e-14,1.0,1,1
0,9,0,983,0.874518659095,0.125481340905,0,1
0,9,0,362,9.45661751645e-14,1.0,0,1
0,9,0,356,3.0000009e-14,1.0,1,1
0,9,0,85,2.98223143502e-13,1.0,0,1
0,9,0,22,0.841790975759,0.158209024241,0,1
0,9,0,190,3.0000009e-14,1.0,1,1
0,9,0,92,8.96118604667e-14,1.0,0,1
0,9,0,941,0.874518674514,0.125481325486,0,1
0,9,0,549,0.874518674544,0.125481325456,0,1
0,9,0,716,0.874516144347,0.125483855653,0,1
0,9,0,299,3.0000009e-14,1.0,1,1
0,9,0,551,0.874518674544,0.125481325456,0,1
0,9,0,661,0.874755962705,0.125244037295,0,1
0,9,0,102,3.0000009e-14,1.0,1,1
0,9,0,1010,0.874518674491,0.125481325509,0,1
0,9,0,530,0.87451867455,0.12548132545,0,1
0,9,0,290,0.874518674544,0.125481325456,0,1
0,9,0,208,1.09397185385e-13,1.0,0,1
0,9,0,988,0.874518674544,0.125481325456,0,1
0,9,0,665,0.874518679848,0.125481320152,0,1
0,9,0,803,0.874518672366,0.125481327634,0,1
0,9,0,447,0.874518674544,0.125481325456,0,1
0,9,0,786,0.874518425123,0.125481574877,0,1
0,9,0,381,3.0000009e-14,1.0,1,1
0,9,0,181,3.0000009e-14,1.0,1,1
0,9,0,34,3.0000009e-14,1.0,1,1
0,9,0,735,0.874518674325,0.125481325675,0,1
0,9,0,148,3.0000009e-14,1.0,1,1
0,9,0,98,0.874518671646,0.125481328354,0,1
0,9,0,662,0.874578361031,0.125421638969,0,1
0,9,0,884,0.874518672285,0.125481327715,0,1
0,9,0,575,0.874518636348,0.125481363652,0,1
0,9,0,461,0.87451867455,0.12548132545,0,1
0,9,0,739,0.874518674544,0.125481325456,0,1
% 
% 
%