% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 09:57:12 2017
% Created by run_task()
@RELATION openml_task_9985_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 confidence.6 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6}

@DATA
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0,9,0,2543,0.167432578229,0.165574829253,0.166516131117,0.166322436353,0.166568577228,0.16758544782,6,2
0,9,0,1668,0.167434011316,0.165913628603,0.167057205073,0.165829065798,0.16582207195,0.16794401726,6,2
0,9,0,3212,0.167437401446,0.165617349031,0.166590083275,0.16626833383,0.166493629598,0.16759320282,6,2
0,9,0,1095,0.167420080714,0.16610821722,0.167308522422,0.165682441843,0.165657265568,0.167823472233,6,2
0,9,0,120,0.16743601912,0.16588869824,0.167081460103,0.165823243565,0.16583716008,0.167933418892,6,2
0,9,0,644,0.167461560248,0.165763116824,0.166982823119,0.165906293009,0.165978263811,0.167907942989,6,2
0,9,0,224,0.16742774728,0.16605040398,0.167083031699,0.165775032387,0.165801536697,0.167862247956,6,2
0,9,0,3509,0.1663324697,0.165802617217,0.165792699263,0.165831137012,0.165184116291,0.171056960517,6,2
0,9,0,4831,0.167403471541,0.165748958195,0.166865450702,0.165981769354,0.166040042954,0.167960307254,6,2
0,9,0,5186,0.16729468886,0.166145479984,0.166975082519,0.165905859041,0.165662038744,0.168016850852,6,2
0,9,0,5518,0.167443989174,0.166051186403,0.167495459971,0.165633116037,0.165659304543,0.167716943872,6,2
0,9,0,3784,0.168140192065,0.164730992258,0.165749157647,0.167636264545,0.166013876161,0.167729517323,6,2
0,9,0,5023,0.167390124748,0.165966686909,0.166878927058,0.165867952229,0.165753624213,0.168142684845,6,2
0,9,0,4317,0.167415960963,0.166101066457,0.167327235769,0.165681999078,0.165642355871,0.167831381862,6,2
0,9,0,1268,0.167410672122,0.165710739865,0.166736637105,0.166146859429,0.16623748717,0.16775760431,6,2
0,9,0,5257,0.16736043611,0.166253694683,0.167195876661,0.165638549846,0.165428731992,0.168122710709,6,2
0,9,0,5775,0.167426679764,0.165929108503,0.167073071579,0.1658168139,0.16579793968,0.167956386574,6,2
0,9,0,3976,0.167430515258,0.165596295501,0.166488627436,0.166422887732,0.166675539984,0.167386134089,6,2
0,9,0,674,0.167408874927,0.166100534711,0.167352942814,0.165663119516,0.165673310676,0.167801217356,6,2
0,9,0,5339,0.167434011316,0.165913628603,0.167057205073,0.165829065798,0.16582207195,0.16794401726,6,2
0,9,0,1756,0.166075149521,0.165524386707,0.165486379473,0.166353076597,0.165399066337,0.171161941366,6,2
0,9,0,3069,0.167450621689,0.165869697097,0.167015983129,0.165861794852,0.166012019582,0.16778988365,6,2
0,9,0,4123,0.16742460483,0.166076504045,0.167330473409,0.165681779288,0.165668960129,0.167817678299,6,2
0,9,0,802,0.167411543248,0.166120172078,0.167327598974,0.165670176241,0.16564547051,0.167825038949,6,2
0,9,0,3650,0.166075149521,0.165524386707,0.165486379473,0.166353076597,0.165399066337,0.171161941366,6,2
0,9,0,5888,0.167269029609,0.165810074234,0.166625038784,0.166052144569,0.165977542901,0.168266169903,6,2
0,9,0,4701,0.167405399198,0.166112479231,0.167342040663,0.165665914835,0.16567451023,0.167799655844,6,2
0,9,0,4075,0.1663324697,0.165802617217,0.165792699263,0.165831137012,0.165184116291,0.171056960517,6,2
0,9,0,3401,0.16747080236,0.165761991089,0.166967193187,0.165917250322,0.165937086072,0.167945676969,6,2
0,9,0,3803,0.167347239158,0.165784354664,0.166760088402,0.166041947758,0.166154462831,0.167911907188,6,2
0,9,0,2594,0.167439246675,0.165545103179,0.1664607302,0.166424586187,0.166664829227,0.167465504531,6,2
0,9,0,1435,0.166200603924,0.165414339104,0.165269358067,0.166542529727,0.165556804725,0.171016364453,6,2
0,9,0,1682,0.166075149521,0.165524386707,0.165486379473,0.166353076597,0.165399066337,0.171161941366,6,2
0,9,0,5175,0.166379411847,0.165887707355,0.165929385131,0.165749497112,0.165092101869,0.170961896686,6,2
0,9,0,1768,0.166075149521,0.165524386707,0.165486379473,0.166353076597,0.165399066337,0.171161941366,6,2
0,9,0,4953,0.167559287265,0.165726323948,0.166712210542,0.166233623827,0.166434873476,0.167333680942,1,2
0,9,0,5516,0.1663324697,0.165802617217,0.165792699263,0.165831137012,0.165184116291,0.171056960517,6,2
0,9,0,4500,0.167559287265,0.165726323948,0.166712210542,0.166233623827,0.166434873476,0.167333680942,1,2
0,9,0,5956,0.167425483995,0.165925580214,0.167076263802,0.165816800092,0.165810275908,0.167945595989,6,2
0,9,0,5449,0.167509197154,0.165675237025,0.166598547921,0.166308802725,0.166528520482,0.167379694693,6,2
0,9,0,3668,0.166318845954,0.165829088305,0.165843969631,0.165830655732,0.165188774183,0.170988666195,6,2
0,9,0,800,0.167413339267,0.166025649341,0.167291556596,0.165714735873,0.165590240566,0.167964478357,6,2
% 
% 
%