% Python_3.6.1.
% Sklearn_0.19.0.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Tue Sep 26 12:18:03 2017
% Created by run_task()
@RELATION openml_task_10103_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5}
@ATTRIBUTE correct {1, 2, 3, 4, 5}

@DATA
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0,9,0,2845,0.841786953833,0.0394739397538,0.0393597583815,0.0396787676641,0.0397005803672,1,1
0,9,0,1232,0.841786953833,0.0394739397538,0.0393597583815,0.0396787676641,0.0397005803672,1,1
0,9,0,1680,0.841786887852,0.0394739366598,0.0393597552964,0.0396788429362,0.0397005772554,1,1
0,9,0,2951,0.841786941612,0.0394739960605,0.0393597852698,0.0396787496936,0.0397005273636,1,1
0,9,0,1021,0.841786953833,0.0394739397538,0.0393597583815,0.0396787676641,0.0397005803672,1,1
0,9,0,2237,0.841786887852,0.0394739366598,0.0393597552964,0.0396788429362,0.0397005772554,1,1
0,9,0,3008,0.841786888422,0.0394739366865,0.039359755323,0.039678795292,0.0397006242762,1,1
0,9,0,1502,0.841786977871,0.0394739234588,0.0393597470328,0.0396787694955,0.0397005821415,1,1
0,9,0,740,0.841786904195,0.0394739200039,0.0393597435879,0.0396787664085,0.0397006658044,1,1
0,9,0,3144,0.84178691189,0.0394739203648,0.0393597439477,0.0396788447676,0.0397005790297,1,1
0,9,0,1040,0.841786940222,0.0394739391156,0.039359757745,0.0396787670544,0.0397005958629,1,1
0,9,0,2429,0.841786977828,0.0394739234568,0.0393597470308,0.0396787695451,0.0397005821395,1,1
0,9,0,960,0.841786887406,0.0394739979379,0.0393597922367,0.0396787513031,0.0397005711167,1,1
0,9,0,13,0.0978064638857,0.0465140816979,0.0463861419776,0.762475333946,0.0468179784927,4,4
0,9,0,479,0.0978020086211,0.046515290027,0.0463814023966,0.762484162066,0.0468171368895,4,4
0,9,0,462,0.0978076535847,0.0465148287229,0.0463802683863,0.762481020098,0.0468162292082,4,4
0,9,0,880,0.0978077843623,0.0465131486368,0.0463809110051,0.762481958785,0.0468161972113,4,4
0,9,0,890,0.0978082006733,0.046514191055,0.0463809579748,0.76248045011,0.0468162001864,4,4
0,9,0,2526,0.0978045328188,0.0465139791615,0.0463819525767,0.762483180704,0.0468163547386,4,4
0,9,0,2824,0.097806011058,0.0465148999244,0.0463826108775,0.762478935649,0.0468175424906,4,4
0,9,0,1205,0.0978080245698,0.0465141073063,0.046382216743,0.762479513554,0.046816137827,4,4
0,9,0,8,0.0978193036956,0.046516457906,0.762049996138,0.0467950805759,0.0468191616846,3,3
0,9,0,2486,0.0978111471143,0.0465167114548,0.762063133802,0.0467898166909,0.0468191909385,3,3
0,9,0,1202,0.0978121117758,0.0465169103666,0.762057414358,0.046794713134,0.0468188503652,3,3
0,9,0,1645,0.0978125144532,0.0465171350076,0.762060724015,0.046790595268,0.0468190312561,3,3
0,9,0,1192,0.0978111095064,0.0465166935693,0.76206274477,0.046790487812,0.0468189643425,3,3
0,9,0,2491,0.0978131224653,0.0465166305381,0.762059603679,0.046790831054,0.0468198122635,3,3
0,9,0,9,0.0976938194087,0.762459776347,0.046354089591,0.0467341555266,0.0467581591262,2,2
0,9,0,889,0.0976950982277,0.762445253881,0.0463646580785,0.0467340546236,0.0467609351887,2,2
0,9,0,908,0.0976945447766,0.762444397943,0.0463619676293,0.0467385541801,0.0467605354706,2,2
0,9,0,458,0.0976865174435,0.762463898262,0.0463601235454,0.0467302499996,0.0467592107491,2,2
0,9,0,856,0.0976865212944,0.762468385585,0.046357234482,0.0467292671664,0.0467585914726,2,2
0,9,0,2817,0.0976862611862,0.762462350619,0.0463616413559,0.0467303173155,0.0467594295238,2,2
0,9,0,5,0.0976914468353,0.762449471445,0.0463629135929,0.0467363483637,0.0467598197633,2,2
% 
% 
%