% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 09:23:25 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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0,9,0,4111,0.167710497987,0.16700722345,0.167137097218,0.166134477776,0.165320724144,0.166689979424,1,1
0,9,0,1730,0.169613171083,0.168737478587,0.1651095043,0.165779310823,0.165019877694,0.165740657513,1,1
0,9,0,790,0.167181661812,0.16716941828,0.168215710019,0.166347107777,0.164602767025,0.166483335087,3,1
0,9,0,2101,0.169211119889,0.161635844629,0.161710737295,0.172250898641,0.168667058454,0.166524341092,4,1
0,9,0,4797,0.170029637845,0.164149564363,0.163213148981,0.169682628683,0.163202047473,0.169722972654,1,1
0,9,0,5248,0.166733663037,0.167144649933,0.166347992148,0.165586385898,0.166463341375,0.167723967609,6,2
0,9,0,4902,0.168259830963,0.16756257083,0.167459402156,0.167155663916,0.165412237324,0.164150294811,1,2
0,9,0,3670,0.167216498018,0.166666713483,0.166490964367,0.166067073293,0.166191385012,0.167367365827,6,2
0,9,0,4827,0.166987227524,0.16651475285,0.168892737987,0.166421970852,0.164590406876,0.166592903911,3,2
0,9,0,934,0.168291250971,0.169401542037,0.167090853604,0.164924778277,0.163403677664,0.166887897447,2,2
0,9,0,4096,0.167270087992,0.167100472424,0.164872598869,0.166127026742,0.165118829367,0.169510984605,6,2
0,9,0,2543,0.16719130633,0.165979916761,0.166780864692,0.16620556484,0.1671101459,0.166732201476,5,2
0,9,0,1668,0.167192607206,0.166758426271,0.166524246167,0.166286577309,0.166036221427,0.167201921621,6,2
0,9,0,3212,0.167374188239,0.165839867789,0.166337237921,0.166530222597,0.16633921432,0.167579269134,6,2
0,9,0,1095,0.168303670475,0.166058908944,0.165888127176,0.166255316298,0.16502099501,0.168472982096,6,2
0,9,0,120,0.166888249218,0.166325807285,0.167091258277,0.166046349441,0.166421766304,0.167226569474,6,2
0,9,0,644,0.166795650115,0.166510670315,0.166758420619,0.16559164943,0.16711093508,0.167232674441,6,2
0,9,0,224,0.168054052216,0.166893611724,0.166702604124,0.165412699613,0.164481092458,0.168455939866,6,2
0,9,0,3509,0.166169879527,0.167425534255,0.166940910666,0.166013792564,0.165037324085,0.168412558903,6,2
0,9,0,4831,0.166715371859,0.166189442726,0.167264516367,0.166167399996,0.166173833321,0.167489435732,6,2
0,9,0,5186,0.167395630968,0.166813247508,0.168027046658,0.166027338882,0.164984582315,0.166752153668,3,2
0,9,0,5518,0.16794172607,0.169845549464,0.169588938954,0.164719290433,0.16457974018,0.163324754898,3,2
0,9,0,3784,0.17190276756,0.163652592689,0.163276849212,0.171356938858,0.163340028892,0.166470822788,1,2
0,9,0,5023,0.166947500904,0.165889420097,0.165194637203,0.165591748965,0.165247318347,0.171129374484,6,2
0,9,0,4317,0.167254927611,0.168453381471,0.168003283968,0.166881472017,0.163816632807,0.165590302126,2,2
0,9,0,1268,0.167760406216,0.166463370297,0.166002444817,0.166741385149,0.165964754971,0.167067638551,6,2
0,9,0,5257,0.168046326033,0.169614936289,0.167097309148,0.164933688636,0.163383958434,0.166923781459,2,2
0,9,0,5775,0.166893949067,0.167594810001,0.16651253391,0.166248846362,0.165810912313,0.166938948347,2,2
0,9,0,3976,0.167140243328,0.16644591046,0.166851324863,0.166353734913,0.166799194507,0.16640959193,1,2
0,9,0,674,0.167304619865,0.167015234624,0.167249094097,0.16600794371,0.16523645081,0.167186656894,3,2
0,9,0,5339,0.16686266657,0.16821151915,0.166022629246,0.166453175496,0.165481822217,0.166968187321,2,2
0,9,0,1756,0.166863438378,0.166402618319,0.165970406609,0.168325224879,0.163528279653,0.168910032162,6,2
0,9,0,3069,0.167234811893,0.165702042424,0.166566945013,0.166159523251,0.166624192601,0.167712484819,6,2
0,9,0,4123,0.166898656223,0.168416848865,0.168037713216,0.167193602517,0.163796925197,0.165656253983,2,2
0,9,0,802,0.167389890474,0.168080995009,0.167643676288,0.166389150503,0.16444424961,0.166052038114,2,2
0,9,0,3650,0.166786829568,0.166407044356,0.165898054016,0.168547349627,0.163498091461,0.168862630973,6,2
0,9,0,5888,0.167102315944,0.166587650408,0.165436192565,0.165932118996,0.165858883723,0.169082838364,6,2
0,9,0,4701,0.166759564768,0.167177647084,0.166906403329,0.166105993888,0.165064983074,0.167985407857,6,2
0,9,0,4075,0.166400773084,0.166402699582,0.164284343807,0.167233482819,0.164904820684,0.170773880024,6,2
0,9,0,3401,0.167534377887,0.16487547082,0.166988431601,0.167296041298,0.16596284421,0.167342834184,4,2
0,9,0,3803,0.167683892379,0.166874889279,0.165712738625,0.166296556384,0.16567747301,0.167754450324,6,2
0,9,0,2594,0.167245226388,0.165706060983,0.166931020475,0.166222601204,0.167048644939,0.166846446012,5,2
0,9,0,1435,0.165919752069,0.162918746464,0.165849521017,0.167289062166,0.163600533788,0.174422384496,6,2
0,9,0,1682,0.165547547664,0.168505079971,0.166062747554,0.167663097221,0.163585104568,0.168636423022,6,2
0,9,0,5175,0.166527635817,0.169019214469,0.165759654083,0.16618757126,0.165109648618,0.167396275753,2,2
0,9,0,1768,0.16535595337,0.166613278712,0.168057715035,0.167897256666,0.163612446916,0.168463349301,6,2
0,9,0,4953,0.168256477016,0.167769460268,0.167309379335,0.167192288715,0.165383142947,0.16408925172,1,2
0,9,0,5516,0.166676982675,0.166155654892,0.164908232166,0.167224593644,0.165077631814,0.16995690481,6,2
0,9,0,4500,0.168258765189,0.167677657505,0.167382944355,0.16725821131,0.165402564114,0.164019857526,1,2
0,9,0,5956,0.167117783956,0.16713090439,0.166437875681,0.166590012148,0.165884538212,0.166838885612,6,2
0,9,0,5449,0.168182865724,0.167749586318,0.167344337391,0.167099330379,0.165474033537,0.164149846651,1,2
0,9,0,3668,0.166550042228,0.169089299087,0.165547337398,0.166189310494,0.1651317412,0.167492269592,2,2
0,9,0,800,0.167077972406,0.167517463124,0.168676147884,0.166389494812,0.164219192328,0.166119729446,3,2
% 
% 
%