% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 01:29:00 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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0,9,0,302,0.00953245492638,0.990467545074,1,1
0,9,0,841,0.0125892857143,0.987410714286,1,1
0,9,0,121,0.144929062657,0.855070937343,1,1
0,9,0,878,0.211160558827,0.788839441173,1,1
0,9,0,174,0.108895800413,0.891104199587,1,1
0,9,0,18,0.0601220944457,0.939877905554,1,1
0,9,0,11,0.17348212131,0.82651787869,1,1
0,9,0,472,0.625187582479,0.374812417521,0,1
0,9,0,584,0.550154088559,0.449845911441,0,1
0,9,0,576,0.513453710839,0.486546289161,0,1
0,9,0,503,0.112861106072,0.887138893928,1,1
0,9,0,206,0.0377088596737,0.962291140326,1,1
0,9,0,132,0.0183825232738,0.981617476726,1,1
0,9,0,984,0.377640065244,0.622359934756,1,1
0,9,0,909,0.201724644754,0.798275355246,1,1
0,9,0,492,0.170663393725,0.829336606275,1,1
0,9,0,937,0.0630718415743,0.936928158426,1,1
0,9,0,408,0.0208074401302,0.97919255987,1,1
0,9,0,892,0.128443878764,0.871556121236,1,1
0,9,0,52,0.254071993091,0.745928006909,1,1
0,9,0,542,0.29801331404,0.70198668596,1,1
0,9,0,239,0.00828245492638,0.991717545074,1,1
0,9,0,816,0.00736071428571,0.992639285714,1,1
0,9,0,82,0.0739733475626,0.926026652437,1,1
0,9,0,232,0.0635755260886,0.936424473911,1,1
0,9,0,516,0.181886992523,0.818113007477,1,1
0,9,0,554,0.112998423047,0.887001576953,1,1
0,9,0,448,0.119535029407,0.880464970593,1,1
0,9,0,846,0.0253937728938,0.974606227106,1,1
0,9,0,217,0.0543845851861,0.945615414814,1,1
0,9,0,983,0.364355820846,0.635644179154,1,1
0,9,0,362,0.0,1.0,1,1
0,9,0,356,0.00828245492638,0.991717545074,1,1
0,9,0,85,0.0839733475626,0.916026652437,1,1
0,9,0,22,0.04574188771,0.95425811229,1,1
0,9,0,190,0.0439636391374,0.956036360863,1,1
0,9,0,92,0.166516079306,0.833483920694,1,1
0,9,0,941,0.172874824798,0.827125175202,1,1
0,9,0,549,0.266630064546,0.733369935454,1,1
0,9,0,716,0.153398598897,0.846601401103,1,1
0,9,0,299,0.00626923076923,0.993730769231,1,1
0,9,0,551,0.275855958883,0.724144041117,1,1
0,9,0,661,0.211761848031,0.788238151969,1,1
0,9,0,102,0.206900428322,0.793099571678,1,1
0,9,0,1010,0.283771678205,0.716228321795,1,1
0,9,0,530,0.179357400025,0.820642599975,1,1
0,9,0,290,0.0210256410256,0.978974358974,1,1
0,9,0,208,0.0377088596737,0.962291140326,1,1
0,9,0,988,0.353365287758,0.646634712242,1,1
0,9,0,665,0.133816205477,0.866183794523,1,1
0,9,0,803,0.0358210649,0.9641789351,1,1
0,9,0,447,0.224149133579,0.775850866421,1,1
0,9,0,786,0.00920948616601,0.990790513834,1,1
0,9,0,381,0.005,0.995,1,1
0,9,0,181,0.095415167432,0.904584832568,1,1
0,9,0,34,0.0309150955254,0.969084904475,1,1
0,9,0,735,0.164798918312,0.835201081688,1,1
0,9,0,148,0.0115544871795,0.988445512821,1,1
0,9,0,98,0.163011204413,0.836988795587,1,1
0,9,0,662,0.25036879217,0.74963120783,1,1
0,9,0,884,0.170250149591,0.829749850409,1,1
0,9,0,575,0.62660036807,0.37339963193,0,1
0,9,0,461,0.587789797086,0.412210202914,0,1
0,9,0,739,0.232000819053,0.767999180947,1,1
% 
% 
%