% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 10:53:55 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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0,9,0,5625,0.167215790982,0.164988909913,0.164022197451,0.171367610477,0.163889946289,0.168515544888,4,1
0,9,0,5538,0.16836780849,0.165118286365,0.167759764677,0.164355235882,0.167700467086,0.166698437499,1,1
0,9,0,4322,0.170335004199,0.16587304159,0.165286120045,0.165779079229,0.163101292521,0.169625462416,1,1
0,9,0,4111,0.168753058491,0.168238533929,0.16773513991,0.165801708234,0.163040679998,0.166430879438,1,1
0,9,0,1730,0.17174303046,0.16768527988,0.164327236728,0.166057285547,0.16435736216,0.165829805225,1,1
0,9,0,790,0.168137785239,0.168861540037,0.168108292399,0.165817209705,0.163256236806,0.165818935814,2,1
0,9,0,2101,0.170276548671,0.161518101733,0.161615514513,0.171805666149,0.167582816812,0.167201352122,4,1
0,9,0,4797,0.170711954112,0.167651396946,0.162064593224,0.169226538186,0.162181817784,0.168163699748,1,1
0,9,0,5248,0.165109267977,0.170465166672,0.165979463629,0.164944147566,0.164827277665,0.168674676493,2,2
0,9,0,4902,0.168970700863,0.169521152844,0.166869979046,0.169928465345,0.163044207419,0.161665494483,1,2
0,9,0,3670,0.166879506417,0.169830794808,0.1657707383,0.166000101745,0.16595636847,0.165562490261,2,2
0,9,0,4827,0.167067841908,0.166884859776,0.171291346945,0.165717823346,0.163261814694,0.165776313332,3,2
0,9,0,934,0.172374869321,0.170062410017,0.165989790855,0.164630774994,0.162995910613,0.1639462442,1,2
0,9,0,4096,0.167975193443,0.164537233447,0.165181854132,0.16541110815,0.164140847814,0.172753763014,6,2
0,9,0,2543,0.166683337231,0.165208466785,0.169986188442,0.164090568509,0.168409940777,0.165621498256,3,2
0,9,0,1668,0.168554923006,0.169527735772,0.165230091433,0.164966253981,0.165126531921,0.166594463888,2,2
0,9,0,3212,0.167870063451,0.164693905732,0.164728034691,0.168852359429,0.165622277011,0.168233359687,6,2
0,9,0,1095,0.169152199818,0.165356734212,0.165128126828,0.167400662423,0.163657116899,0.169305159819,6,2
0,9,0,120,0.166681148495,0.168062340605,0.166208103921,0.164737437384,0.165558482578,0.168752487019,6,2
0,9,0,644,0.165593017373,0.16881824462,0.167861044442,0.163810614833,0.166537137276,0.167379941456,6,2
0,9,0,224,0.167763022123,0.167910008384,0.167244599215,0.164784045938,0.163714274507,0.168584049832,6,2
0,9,0,3509,0.164319285102,0.168407825671,0.168437156127,0.164334434734,0.165496866585,0.169004431781,6,2
0,9,0,4831,0.166942628512,0.165950566752,0.167684269241,0.165909695098,0.165653617568,0.167859222828,3,2
0,9,0,5186,0.16748552487,0.166650495015,0.16799718099,0.164237158027,0.167190017889,0.16643962321,3,2
0,9,0,5518,0.166923966774,0.170100528845,0.168398931688,0.164618076792,0.167059709793,0.162898786109,2,2
0,9,0,3784,0.175368099148,0.163504374863,0.16207799512,0.171454727435,0.162296820827,0.165297982607,1,2
0,9,0,5023,0.166227625413,0.165103290736,0.164175182215,0.163914908243,0.163833076605,0.176745916788,6,2
0,9,0,4317,0.166834069294,0.172041784111,0.167443505218,0.16617880173,0.163312404966,0.164189434681,2,2
0,9,0,1268,0.171738632302,0.165898428189,0.164862292362,0.166765425359,0.165207120013,0.165528101775,1,2
0,9,0,5257,0.167253892146,0.175456005439,0.166131369144,0.16400608833,0.162842142616,0.164310502326,2,2
0,9,0,5775,0.165946562577,0.173634852325,0.165142125567,0.165078488085,0.164046687046,0.1661512844,2,2
0,9,0,3976,0.168878260734,0.165856277019,0.167344175211,0.166092400528,0.167229049456,0.164599837052,1,2
0,9,0,674,0.167291813551,0.169668040623,0.167387975281,0.166011233894,0.163276188886,0.166364747765,2,2
0,9,0,5339,0.166680332497,0.172197283854,0.164256714569,0.167528117076,0.16385142562,0.165486126384,2,2
0,9,0,1756,0.166900851606,0.167064783161,0.164067825133,0.169337000183,0.163698702526,0.168930837391,6,2
0,9,0,3069,0.166888111569,0.164153385193,0.164795667503,0.168256312901,0.16826575427,0.167640768563,6,2
0,9,0,4123,0.165475239214,0.169688050448,0.167865814249,0.170077234099,0.163281468812,0.163612193179,2,2
0,9,0,802,0.167659195828,0.169980553713,0.167899083247,0.166587463832,0.163023531448,0.164850171931,2,2
0,9,0,3650,0.166033930426,0.168005730018,0.164415532305,0.16922776637,0.163711312146,0.168605728734,6,2
0,9,0,5888,0.166281346699,0.167618110558,0.164709195605,0.164373819933,0.163740356814,0.173277170392,6,2
0,9,0,4701,0.167792470703,0.169449443935,0.166093987903,0.166230477062,0.163237681905,0.167195938492,2,2
0,9,0,4075,0.165679367813,0.168370927588,0.163405133801,0.168344347885,0.165384450812,0.168815772101,6,2
0,9,0,3401,0.166210464902,0.165597220012,0.167436064242,0.167586722572,0.164231662893,0.168937865378,4,2
0,9,0,3803,0.167543160525,0.171133391551,0.163782948804,0.165199469111,0.164570964611,0.167770065399,2,2
0,9,0,2594,0.168753718341,0.166030712429,0.166924917726,0.164753892262,0.167831597362,0.16570516188,1,2
0,9,0,1435,0.165899978664,0.16302672678,0.1649481488,0.16908445101,0.164717258508,0.172323436239,6,2
0,9,0,1682,0.165181830329,0.172145622255,0.164923110821,0.166771021771,0.163401195847,0.167577218975,2,2
0,9,0,5175,0.165822212624,0.168862947072,0.1642086021,0.166580414815,0.165478821983,0.169047001406,6,2
0,9,0,1768,0.165175315455,0.167549681841,0.167384741357,0.167560604023,0.163528794255,0.168800863069,6,2
0,9,0,4953,0.171743473369,0.168652023308,0.166674273154,0.167989134881,0.162910147402,0.162030947885,1,2
0,9,0,5516,0.1667101626,0.167740652416,0.163867554518,0.167107145225,0.164264484883,0.170310000357,6,2
0,9,0,4500,0.169513515024,0.167530652829,0.168925308398,0.166431956001,0.166063737305,0.161534830443,1,2
0,9,0,5956,0.169129387295,0.168319561684,0.164705015297,0.167569752057,0.164535994797,0.16574028887,1,2
0,9,0,5449,0.169178918417,0.170379669486,0.16741519521,0.167802676791,0.163412488417,0.161811051678,1,2
0,9,0,3668,0.165915645085,0.16969608525,0.164229538178,0.165991352025,0.165207311679,0.168960067784,6,2
0,9,0,800,0.166907791461,0.170166876695,0.167949974903,0.166868657424,0.163162882874,0.164943816643,2,2
% 
% 
%