% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Fri Aug 11 09:34:33 2017
% Created by run_task()
@RELATION openml_task_9977_predictions

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

@DATA
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0,9,0,25649,0.946113292124,0.0538867078759,1,1
0,9,0,20575,0.905465140214,0.094534859786,1,1
0,9,0,16429,0.999411764706,0.000588235294118,1,1
0,9,0,28974,0.677596931531,0.322403068469,1,1
0,9,0,34393,0.881316577172,0.118683422828,1,1
0,9,0,31486,0.78590147996,0.21409852004,1,1
0,9,0,19023,0.999285714286,0.000714285714286,1,1
0,9,0,25581,0.986782213006,0.0132177869936,1,1
0,9,0,30732,0.716751158445,0.283248841555,1,1
0,9,0,17150,0.986716593887,0.0132834061134,1,1
0,9,0,20826,1.0,0.0,1,1
0,9,0,17620,0.999565217391,0.000434782608696,1,1
0,9,0,30941,0.829381096581,0.170618903419,1,1
0,9,0,16438,1.0,0.0,1,1
0,9,0,30027,0.678034237977,0.321965762023,1,1
0,9,0,30338,0.802022266552,0.197977733448,1,1
0,9,0,24954,0.999230769231,0.000769230769231,1,1
0,9,0,16855,0.987767115925,0.012232884075,1,1
0,9,0,34230,0.914550118698,0.0854498813017,1,1
0,9,0,16153,0.979915343915,0.0200846560847,1,1
0,9,0,29944,0.519122706992,0.480877293008,1,1
0,9,0,30034,0.87537133746,0.12462866254,1,1
0,9,0,31825,0.606593918042,0.393406081958,1,1
0,9,0,29462,0.34788638505,0.65211361495,2,1
0,9,0,31536,0.31131517715,0.68868482285,2,1
0,9,0,17120,0.993496667806,0.00650333219412,1,1
0,9,0,25293,1.0,0.0,1,1
0,9,0,29729,0.932231257304,0.067768742696,1,1
0,9,0,34151,0.982989925538,0.0170100744621,1,1
0,9,0,17525,1.0,0.0,1,1
0,9,0,28195,0.9995,0.0005,1,1
0,9,0,33179,0.996738653525,0.00326134647516,1,1
0,9,0,29271,0.941038563335,0.0589614366646,1,1
0,9,0,32010,0.990887955182,0.00911204481793,1,1
0,9,0,32567,0.997368421053,0.00263157894737,1,1
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0,9,0,32489,0.999411764706,0.000588235294118,1,1
0,9,0,30476,0.997377255639,0.0026227443609,1,1
0,9,0,19148,0.524940011484,0.475059988516,1,1
0,9,0,19001,0.995853221299,0.0041467787015,1,1
0,9,0,29754,0.394129305687,0.605870694313,2,1
0,9,0,30412,0.114185789696,0.885814210304,2,1
0,9,0,31860,0.16009044613,0.83990955387,2,1
0,9,0,31955,0.818842852343,0.181157147656,1,1
0,9,0,28724,0.9995,0.0005,1,1
0,9,0,17210,1.0,0.0,1,1
0,9,0,25218,0.703102892313,0.296897107687,1,1
0,9,0,24253,1.0,0.0,1,1
0,9,0,32845,1.0,0.0,1,1
0,9,0,18101,0.995599532047,0.0044004679531,1,1
0,9,0,23283,0.870250302161,0.129749697839,1,1
0,9,0,24819,0.902627537759,0.0973724622408,1,1
0,9,0,30044,0.990178223336,0.00982177666388,1,1
0,9,0,24930,0.999473684211,0.000526315789474,1,1
0,9,0,29884,0.625983424441,0.374016575559,1,1
0,9,0,24278,1.0,0.0,1,1
0,9,0,34218,0.946942046539,0.0530579534613,1,1
0,9,0,28975,0.998666666667,0.00133333333333,1,1
0,9,0,33413,0.915457203849,0.0845427961513,1,1
0,9,0,25245,0.987028989028,0.0129710109722,1,1
0,9,0,31360,0.665764444949,0.334235555051,1,1
0,9,0,30743,0.839335253084,0.160664746916,1,1
0,9,0,31583,0.869306379562,0.130693620438,1,1
0,9,0,33067,0.99525,0.00475,1,1
0,9,0,24667,0.997220936958,0.00277906304222,1,1
0,9,0,16552,0.98032453957,0.01967546043,1,1
0,9,0,18114,0.99875,0.00125,1,1
0,9,0,2625,1.0,0.0,1,1
0,9,0,31472,0.884813765097,0.115186234903,1,1
0,9,0,25271,0.993373050962,0.00662694903803,1,1
0,9,0,31686,0.97056727669,0.0294327233099,1,1
0,9,0,24460,0.997575757576,0.00242424242424,1,1
0,9,0,31410,0.982855616896,0.0171443831037,1,1
0,9,0,23581,0.950077893211,0.049922106789,1,1
% 
% 
%