% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 21:51:04 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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0,9,0,5248,0.167148376482,0.165887528102,0.167081307406,0.16487117055,0.165090452873,0.169921164586,6,2
0,9,0,4902,0.16860704739,0.166362839425,0.167207768875,0.165883000042,0.165634672446,0.166304671822,1,2
0,9,0,3670,0.167548925062,0.165525528096,0.166973336959,0.165507147063,0.166074619292,0.168370443529,6,2
0,9,0,4827,0.167563629872,0.166176315829,0.168412172868,0.164850790083,0.164678468938,0.168318622411,6,2
0,9,0,934,0.16743717977,0.166740701424,0.167581538113,0.1649333877,0.164428165601,0.168879027391,6,2
0,9,0,4096,0.167398398109,0.165669352595,0.166371669333,0.165733746297,0.165705706985,0.169121126681,6,2
0,9,0,2543,0.16739410135,0.165569647728,0.166567774735,0.165819616383,0.166820770191,0.167828089613,1,2
0,9,0,1668,0.16760352423,0.166071378108,0.167466146488,0.16510158588,0.165167385808,0.168589979485,6,2
0,9,0,3212,0.167519837185,0.165424531078,0.166420020748,0.166012436338,0.166520714785,0.168102459866,6,2
0,9,0,1095,0.168127783499,0.166133695583,0.167251128278,0.164959258627,0.164724684389,0.168803449625,6,2
0,9,0,120,0.167611670673,0.1659074175,0.167537734645,0.165121228459,0.165242129436,0.168579819286,6,2
0,9,0,644,0.167598038864,0.165667047966,0.167278604153,0.16513552566,0.16569563762,0.168625145736,6,2
0,9,0,224,0.167739926771,0.166483714145,0.167562446691,0.1650018569,0.164784584241,0.168427471253,6,2
0,9,0,3509,0.166317464132,0.166002364204,0.165142096523,0.165356936293,0.164275772148,0.1729053667,6,2
0,9,0,4831,0.167113146409,0.165481548935,0.166679198378,0.165473367134,0.165848143831,0.169404595313,6,2
0,9,0,5186,0.16753346214,0.166398181134,0.167568856708,0.165434092912,0.164996199964,0.168069207142,6,2
0,9,0,5518,0.168205810575,0.166843979778,0.169336100039,0.164974004926,0.164650972405,0.165989132278,3,2
0,9,0,3784,0.171675895018,0.162968108055,0.163337989341,0.170873800992,0.164019975496,0.167124231098,4,2
0,9,0,5023,0.167403913846,0.165822066237,0.167590379431,0.165124435505,0.165279674869,0.168779530112,6,2
0,9,0,4317,0.168006777299,0.166867354798,0.168115615052,0.165141519639,0.164489467187,0.167379266024,3,2
0,9,0,1268,0.167595723904,0.165543842322,0.166404036748,0.166008102302,0.166352912013,0.16809538271,6,2
0,9,0,5257,0.167435301922,0.166748407337,0.167576499625,0.164934670185,0.164413609331,0.1688915116,6,2
0,9,0,5775,0.167613349602,0.166171776197,0.16747271735,0.165074991004,0.165090194084,0.168576971763,6,2
0,9,0,3976,0.167247852291,0.165711952379,0.166384485901,0.166213356799,0.167089369884,0.167352982746,1,2
0,9,0,674,0.167630520854,0.16641342712,0.167888434564,0.164844706638,0.164808778469,0.168414132354,6,2
0,9,0,5339,0.167186200894,0.166242872199,0.166976184945,0.164901447865,0.16499046577,0.169702828327,6,2
0,9,0,1756,0.166525534329,0.167170897856,0.164442977489,0.168252165579,0.164072090648,0.169536334098,6,2
0,9,0,3069,0.167535010277,0.165831821196,0.167287464131,0.165213047151,0.16579560889,0.168337048355,6,2
0,9,0,4123,0.167592047711,0.166684660525,0.167959124509,0.164924903296,0.164710748816,0.168128515143,6,2
0,9,0,802,0.167632764531,0.166674183681,0.167948112664,0.164900395746,0.164670720501,0.168173822877,6,2
0,9,0,3650,0.166525534329,0.167170897856,0.164442977489,0.168252165579,0.164072090648,0.169536334098,6,2
0,9,0,5888,0.167106809877,0.165517936236,0.166161066463,0.165480549816,0.165678378559,0.17005525905,6,2
0,9,0,4701,0.167350834671,0.166467493539,0.167284458467,0.164800203194,0.164665137328,0.169431872802,6,2
0,9,0,4075,0.166407357832,0.165914148813,0.16506172552,0.165311691186,0.164127889057,0.173177187592,6,2
0,9,0,3401,0.16766454508,0.165261198448,0.16699145129,0.165558165085,0.165409131161,0.169115508936,6,2
0,9,0,3803,0.167212938513,0.165690715157,0.166091432153,0.165774093665,0.165655094039,0.169575726473,6,2
0,9,0,2594,0.167313917554,0.165295994408,0.166453890284,0.166076599127,0.167154500651,0.167705097977,1,2
0,9,0,1435,0.164989879911,0.163699463209,0.163715492684,0.165034116526,0.16332883151,0.179232216159,6,2
0,9,0,1682,0.166525534329,0.167170897856,0.164442977489,0.168252165579,0.164072090648,0.169536334098,6,2
0,9,0,5175,0.166927446036,0.167039013989,0.164709359518,0.167602164224,0.16457076197,0.169151254263,6,2
0,9,0,1768,0.16652204598,0.166656620313,0.165368861884,0.168464600017,0.163894890983,0.169092980823,6,2
0,9,0,4953,0.168551858316,0.166607185026,0.167160809968,0.165985675094,0.16554148339,0.166152988206,1,2
0,9,0,5516,0.166317464132,0.166002364204,0.165142096523,0.165356936293,0.164275772148,0.1729053667,6,2
0,9,0,4500,0.168551858316,0.166607185026,0.167160809968,0.165985675094,0.16554148339,0.166152988206,1,2
0,9,0,5956,0.167608568341,0.166187856446,0.167473272752,0.165012453621,0.165180352528,0.168537496312,6,2
0,9,0,5449,0.168174013693,0.16597507147,0.166705744138,0.165984807176,0.166204251335,0.166956112188,1,2
0,9,0,3668,0.166927446036,0.167039013989,0.164709359518,0.167602164224,0.16457076197,0.169151254263,6,2
0,9,0,800,0.167703003512,0.166152398784,0.167889280488,0.164915044521,0.164597135206,0.168743137489,6,2
% 
% 
%