% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Mon Jul 17 04:52:09 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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0,9,0,934,0.16836982922,0.168525672869,0.166629739272,0.165535447558,0.164643974388,0.166295336692,2,2
0,9,0,4096,0.167234086879,0.166417093134,0.165930051909,0.166366547314,0.166120041623,0.167932179139,6,2
0,9,0,2543,0.166957579113,0.166465124381,0.167782342959,0.165656971126,0.167141264396,0.165996718025,3,2
0,9,0,1668,0.167087605602,0.167421611428,0.166161455788,0.166407504092,0.166203269911,0.166718553179,1,2
0,9,0,3212,0.167472102255,0.166173192236,0.166006208386,0.166967124228,0.166325754946,0.167055617948,6,2
0,9,0,1095,0.167373691099,0.16641308743,0.166222904912,0.1671239863,0.165711755933,0.167154574326,6,2
0,9,0,120,0.166632082483,0.167336452102,0.166796302888,0.165992637589,0.166091223394,0.167151301545,2,2
0,9,0,644,0.166405466135,0.167102313616,0.167235935903,0.165578485539,0.166993215176,0.166684583632,5,2
0,9,0,224,0.167255318479,0.166903667441,0.167171094751,0.165820811039,0.165187155179,0.167661953111,6,2
0,9,0,3509,0.165591795649,0.167277027088,0.167521773508,0.165908654,0.16633683731,0.167363912444,6,2
0,9,0,4831,0.166820558527,0.166405376321,0.166877003509,0.16623957952,0.166520033929,0.167137448194,6,2
0,9,0,5186,0.16665324589,0.166457844457,0.168266964961,0.165213047164,0.166689090882,0.166719806646,3,2
0,9,0,5518,0.167218683157,0.16747324555,0.168340637823,0.166003065132,0.166674046697,0.16429032164,3,2
0,9,0,3784,0.169265092979,0.165779449683,0.164869349644,0.16785218992,0.165523625948,0.166710291825,1,2
0,9,0,5023,0.167379051856,0.166209703483,0.16597585558,0.165829802292,0.166122153086,0.168483433703,6,2
0,9,0,4317,0.166690497651,0.168446661506,0.167085494963,0.166658232714,0.165178662034,0.165940451132,2,2
0,9,0,1268,0.168169810353,0.166747028565,0.165443740977,0.167175821937,0.166197799186,0.166265798983,1,2
0,9,0,5257,0.168086799558,0.168926103418,0.166643026134,0.165363974151,0.164667380385,0.166312716354,2,2
0,9,0,5775,0.167103213195,0.168039087872,0.16612740022,0.16623715999,0.165836874993,0.16665626373,2,2
0,9,0,3976,0.167391103973,0.166549975314,0.167081302648,0.166257895498,0.166949836208,0.165769886359,1,2
0,9,0,674,0.167077528139,0.168079940449,0.16674296633,0.166317349985,0.165060768268,0.166721446828,2,2
0,9,0,5339,0.166924139925,0.167803823555,0.165965632934,0.16690504118,0.166035771741,0.166365590666,2,2
0,9,0,1756,0.166468602645,0.167313604885,0.16633130457,0.16767582007,0.164877539772,0.167333128057,4,2
0,9,0,3069,0.16694071315,0.165567779539,0.166240983917,0.166946987984,0.167055999621,0.167247535789,1,2
0,9,0,4123,0.166730193482,0.167578139161,0.167442651904,0.167227503695,0.16515119259,0.165870319167,3,2
0,9,0,802,0.167476022806,0.167482081565,0.167171847357,0.166705611893,0.164900934518,0.166263501861,2,2
0,9,0,3650,0.166395663784,0.167400290901,0.166013403226,0.167965245601,0.164860826436,0.167364570052,4,2
0,9,0,5888,0.166901146689,0.167093050505,0.165652207139,0.166251491153,0.166264644904,0.167837459611,6,2
0,9,0,4701,0.167452736861,0.167432088659,0.166369691115,0.166633003901,0.165190061019,0.166922418446,2,2
0,9,0,4075,0.166859557603,0.167032233437,0.165185831782,0.166998971781,0.166020088656,0.167903316742,6,2
0,9,0,3401,0.166296444057,0.165518974563,0.168119076511,0.166799918876,0.16576317943,0.167502406563,3,2
0,9,0,3803,0.167537818005,0.166944707469,0.165561019846,0.166483030088,0.165944917963,0.167528506629,6,2
0,9,0,2594,0.167538993441,0.165992670014,0.166666812054,0.16636249877,0.166766031673,0.166672994049,1,2
0,9,0,1435,0.166911215988,0.165071198475,0.166501204749,0.167039954271,0.166040999935,0.168435426582,6,2
0,9,0,1682,0.166227996521,0.168817268194,0.165995054846,0.166779754321,0.164885727122,0.167294198996,2,2
0,9,0,5175,0.166150306727,0.167860387226,0.165941487203,0.167172528285,0.165968536445,0.166906754115,2,2
0,9,0,1768,0.166140198203,0.166540392794,0.16789460828,0.166616299217,0.164821823783,0.167986677723,6,2
0,9,0,4953,0.168370190809,0.167912849179,0.167472101517,0.167803666239,0.165393074525,0.163048117731,2,2
0,9,0,5516,0.167214602705,0.167307925747,0.165306612436,0.166667626798,0.165841187614,0.167662044701,6,2
0,9,0,4500,0.16823723433,0.167346448826,0.167455092202,0.167183923947,0.166744686617,0.163032614077,1,2
0,9,0,5956,0.166984800845,0.167055248826,0.166150369791,0.167176467074,0.166082313874,0.166550799589,4,2
0,9,0,5449,0.168051609121,0.167778883676,0.167502041011,0.167319432275,0.166058504504,0.163289529412,2,2
0,9,0,3668,0.166090091379,0.168019063878,0.165943768139,0.167027986804,0.166052135458,0.166866954343,2,2
0,9,0,800,0.167024139709,0.168120804767,0.167212743448,0.166510901241,0.165027584286,0.166103826548,2,2
% 
% 
%