% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 18:03:58 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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0,9,0,4111,0.167883934583,0.166832230557,0.167232147002,0.165756142255,0.165183280063,0.167112265541,1,1
0,9,0,1730,0.170114961032,0.169142368802,0.164488521876,0.165293910494,0.164803146107,0.166157091689,1,1
0,9,0,790,0.167382763264,0.167004935159,0.168201417379,0.166014538863,0.164817550893,0.166578794442,3,1
0,9,0,2101,0.167998304934,0.161854379573,0.162073894282,0.172335155405,0.168239349533,0.167498916274,4,1
0,9,0,4797,0.17165821043,0.1639476161,0.162333285883,0.170700001374,0.162205589702,0.169155296512,1,1
0,9,0,5248,0.166296313204,0.171471835474,0.165518384319,0.164867653875,0.165063951898,0.16678186123,2,2
0,9,0,4902,0.16883380288,0.167650649947,0.167539060129,0.167233920881,0.164922333801,0.163820232363,1,2
0,9,0,3670,0.168088397534,0.167476269819,0.165992799365,0.166159818815,0.165224542835,0.167058171632,6,2
0,9,0,4827,0.167087253561,0.166353636691,0.169149454361,0.165960987915,0.164873074778,0.166575592695,3,2
0,9,0,934,0.167975613148,0.168365188692,0.166907498829,0.165260573828,0.163839087077,0.167652038427,2,2
0,9,0,4096,0.167076020131,0.16561382416,0.16578305186,0.165817467934,0.165051156856,0.170658479058,6,2
0,9,0,2543,0.167264313275,0.165834383582,0.167033952557,0.165876445413,0.167361852189,0.166629052984,5,2
0,9,0,1668,0.167420656775,0.167214565452,0.166238671754,0.165962776723,0.165525232077,0.16763809722,6,2
0,9,0,3212,0.167670632349,0.165595431911,0.166188650169,0.166376454806,0.166051058059,0.168117772705,6,2
0,9,0,1095,0.169312248693,0.165753497621,0.165915479728,0.165091546082,0.164242757513,0.169684470364,6,2
0,9,0,120,0.16704395166,0.166858375478,0.166877855385,0.16553282248,0.165978967001,0.167708027995,6,2
0,9,0,644,0.166133016576,0.166021907239,0.165742309061,0.164455021455,0.165936127328,0.171711618342,6,2
0,9,0,224,0.168902850355,0.165806291667,0.166265255945,0.165650115067,0.164654312648,0.168721174318,1,2
0,9,0,3509,0.166112992184,0.167728564195,0.166827386374,0.165717909305,0.164362073287,0.169251074655,6,2
0,9,0,4831,0.166624883926,0.166156183822,0.167515400904,0.165725033758,0.165850205809,0.168128291781,6,2
0,9,0,5186,0.167352797932,0.166279636414,0.168227047695,0.165564192164,0.164976522417,0.167599803378,3,2
0,9,0,5518,0.16726723966,0.168679005379,0.169072389704,0.165161669412,0.166103132121,0.163716563724,3,2
0,9,0,3784,0.173297250683,0.163249502931,0.162416511391,0.173076714649,0.162204673087,0.165755347258,1,2
0,9,0,5023,0.166944759234,0.165099078999,0.165832164736,0.164784559926,0.164855385349,0.172484051756,6,2
0,9,0,4317,0.167120532422,0.168231326537,0.167280887181,0.167015845057,0.164361137694,0.16599027111,2,2
0,9,0,1268,0.167940346045,0.166208948087,0.16640226239,0.16676424928,0.165878431359,0.16680576284,6,2
0,9,0,5257,0.16792110671,0.168510225631,0.166864759554,0.165196075429,0.163842612708,0.167665219967,2,2
0,9,0,5775,0.166872461153,0.168242120642,0.166241320525,0.165664614068,0.165436814646,0.167542668966,2,2
0,9,0,3976,0.167222437713,0.166217350612,0.167100484873,0.166295795207,0.166882678258,0.166281253337,1,2
0,9,0,674,0.16745904859,0.167036897738,0.16716585272,0.16591425178,0.164882927987,0.167541021184,6,2
0,9,0,5339,0.166847345896,0.168803737598,0.165968769524,0.166337626372,0.165078095732,0.166964424879,2,2
0,9,0,1756,0.165961628508,0.165636782109,0.165317901527,0.170500778312,0.163372630938,0.169210278605,6,2
0,9,0,3069,0.167630633895,0.165373546734,0.166409826615,0.165809934781,0.166356416253,0.168419641722,6,2
0,9,0,4123,0.166661402954,0.168251579262,0.167624587271,0.167272999332,0.164369857543,0.165819573638,2,2
0,9,0,802,0.167994876713,0.168217439845,0.167448066703,0.165974397725,0.164345584342,0.166019634672,2,2
0,9,0,3650,0.165925639454,0.166057192944,0.165319391441,0.170307227402,0.16337410332,0.16901644544,6,2
0,9,0,5888,0.167065344154,0.166172476177,0.165538057088,0.16593935261,0.166031870777,0.169252899194,6,2
0,9,0,4701,0.166740972625,0.167422356392,0.166983007735,0.165816831876,0.164656672825,0.168380158547,6,2
0,9,0,4075,0.166065347849,0.166605298823,0.164242897342,0.167594140931,0.16501605318,0.170476261875,6,2
0,9,0,3401,0.167274080476,0.164971831942,0.167153286539,0.167241762484,0.165466458078,0.167892580482,6,2
0,9,0,3803,0.168441274153,0.166170875899,0.165323767402,0.166613968983,0.165140535173,0.168309578391,6,2
0,9,0,2594,0.167262645468,0.165880728914,0.167031116007,0.165744292445,0.167132482952,0.166948734214,5,2
0,9,0,1435,0.165868965791,0.162904796683,0.165488400058,0.168263138054,0.163162360142,0.174312339273,6,2
0,9,0,1682,0.165080050771,0.168574048529,0.165390203303,0.16846756029,0.163450108206,0.169038028902,6,2
0,9,0,5175,0.166302694934,0.169618972269,0.165820839115,0.166065456618,0.164940235468,0.167251801596,6,2
0,9,0,1768,0.164858057676,0.16641577238,0.168879480007,0.168030302126,0.163464249378,0.168352138434,6,2
0,9,0,4953,0.168774609768,0.167619475686,0.16775576591,0.167256421464,0.164827554955,0.163766172217,1,2
0,9,0,5516,0.166901809618,0.165964855779,0.16423910658,0.167377565689,0.164168088084,0.171348574249,6,2
0,9,0,4500,0.168774609768,0.167619475686,0.16775576591,0.167256421464,0.164827554955,0.163766172217,1,2
0,9,0,5956,0.167227619504,0.16700265996,0.166467404352,0.166561943094,0.16560289075,0.167137482341,1,2
0,9,0,5449,0.168812197054,0.167719387334,0.167351474163,0.167222879137,0.165001839716,0.163892222596,1,2
0,9,0,3668,0.166302362327,0.169519464578,0.165872102483,0.166117290095,0.164989083788,0.167199696729,6,2
0,9,0,800,0.167404936661,0.167096049175,0.168606755204,0.166113380572,0.164383644859,0.166395233529,3,2
% 
% 
%