% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 07:38:40 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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0,9,0,2023,0.167076986645,0.164814354798,0.163886394032,0.167187241037,0.170006077248,0.16702894624,5,1
0,9,0,366,0.167872063361,0.164302075512,0.165418530998,0.166686347429,0.165555434746,0.170165547955,6,1
0,9,0,5625,0.167658580494,0.165479236727,0.16411649745,0.171328746774,0.163433286481,0.167983652074,4,1
0,9,0,5538,0.169316944742,0.165666833063,0.166537099247,0.163918167339,0.167857451904,0.166703503704,1,1
0,9,0,4322,0.171659668477,0.165655529489,0.165121294298,0.165054438719,0.162957688141,0.169551380876,1,1
0,9,0,4111,0.170231253866,0.168820188008,0.167017452061,0.165218941693,0.162748562065,0.165963602306,1,1
0,9,0,1730,0.168537196448,0.168745276725,0.163139732791,0.166274229335,0.165372258885,0.167931305817,1,1
0,9,0,790,0.167175385932,0.171923692547,0.167565927997,0.165564240919,0.162998837293,0.164771915312,2,1
0,9,0,2101,0.168922752162,0.161853227437,0.161967062828,0.170794644335,0.170056626888,0.16640568635,4,1
0,9,0,4797,0.168721152009,0.171298169427,0.162816261938,0.167910691319,0.162871226079,0.166382499227,2,1
0,9,0,5248,0.166233242149,0.170751189414,0.165894771808,0.164545366217,0.164960556607,0.167614873806,2,2
0,9,0,4902,0.170846812969,0.172876613568,0.161589886356,0.172183586774,0.161295933622,0.161207166712,4,2
0,9,0,3670,0.16744190119,0.169739674586,0.164337794265,0.165831212508,0.165781819388,0.166867598063,2,2
0,9,0,4827,0.165827763658,0.166663091193,0.173994208547,0.165399043454,0.162968361151,0.165147531996,3,2
0,9,0,934,0.174794622521,0.170308824126,0.16393687968,0.163230645343,0.162318421406,0.165410606925,1,2
0,9,0,4096,0.166788985387,0.164657509998,0.16441769956,0.164294728774,0.163520561476,0.176320514805,6,2
0,9,0,2543,0.166156933632,0.16527112582,0.173650899869,0.163418269478,0.167573334936,0.163929436265,3,2
0,9,0,1668,0.167936677937,0.169392543102,0.164513885624,0.165960413075,0.165504684387,0.166691795874,2,2
0,9,0,3212,0.167314110289,0.16602662948,0.164619917366,0.167970518371,0.165710531811,0.168358292683,6,2
0,9,0,1095,0.16959299174,0.165128418292,0.165359361841,0.166521288201,0.16422374146,0.169174198466,1,2
0,9,0,120,0.166678273799,0.16842711303,0.166552437715,0.164818794334,0.164979808884,0.168543572238,6,2
0,9,0,644,0.165064600542,0.169932014629,0.167743117615,0.164029284889,0.165550199341,0.167680782984,2,2
0,9,0,224,0.167604231599,0.16947155515,0.166411641826,0.164820178291,0.163158621764,0.16853377137,2,2
0,9,0,3509,0.161229865363,0.172580565314,0.171528527978,0.161228677719,0.161433310636,0.17199905299,6,2
0,9,0,4831,0.167252077097,0.165111427246,0.168336548397,0.16605413583,0.166122650338,0.167123161093,3,2
0,9,0,5186,0.168216691129,0.166438256344,0.16734480167,0.163889864822,0.165586141673,0.168524244361,6,2
0,9,0,5518,0.165559959575,0.171486479322,0.168515323851,0.164136645319,0.167165882337,0.163135709596,2,2
0,9,0,3784,0.174910594332,0.163026855328,0.163996345921,0.16944422205,0.163546976784,0.165075005586,1,2
0,9,0,5023,0.166301880381,0.164842911221,0.163918065225,0.164229985074,0.163320414465,0.177386743633,6,2
0,9,0,4317,0.165911890458,0.172846957421,0.166982280016,0.166492365645,0.163353579087,0.164412927373,2,2
0,9,0,1268,0.174183853358,0.165463965744,0.164024016328,0.166662375772,0.164834860074,0.164830928725,1,2
0,9,0,5257,0.166267815038,0.178868475335,0.163776670148,0.163447866397,0.162289804937,0.165349368146,2,2
0,9,0,5775,0.165100450758,0.175553858119,0.164971621524,0.164029393531,0.164484014904,0.165860661164,2,2
0,9,0,3976,0.170318625986,0.164306654302,0.167324058944,0.166052674217,0.168459492716,0.163538493836,1,2
0,9,0,674,0.167003641437,0.172115761496,0.166618471208,0.165139185917,0.16286194132,0.166260998622,2,2
0,9,0,5339,0.165379595378,0.171951411901,0.164637651979,0.167944907591,0.163694855872,0.16639157728,2,2
0,9,0,1756,0.167411398927,0.167220521587,0.164638650379,0.168584126721,0.163557897451,0.168587404935,6,2
0,9,0,3069,0.167054568733,0.163934899237,0.165209432126,0.169874211179,0.167514525449,0.166412363276,4,2
0,9,0,4123,0.165560761404,0.168624674701,0.167304985433,0.171299619437,0.162993181115,0.164216777911,4,2
0,9,0,802,0.167348449026,0.171756513129,0.167095038307,0.165619699683,0.162944828991,0.165235470864,2,2
0,9,0,3650,0.167370289981,0.167728598593,0.164353661302,0.168705575059,0.163682156176,0.16815971889,4,2
0,9,0,5888,0.166283301505,0.166334552451,0.164696398101,0.164839740884,0.164506794557,0.173339212502,6,2
0,9,0,4701,0.168189102086,0.171810685626,0.164939058538,0.165619925446,0.162813474427,0.166627753878,2,2
0,9,0,4075,0.164195091145,0.169796894476,0.163045118392,0.167061453352,0.16286826629,0.173033176345,6,2
0,9,0,3401,0.166251088817,0.164280071164,0.167025871025,0.167595578997,0.163933313916,0.170914076082,6,2
0,9,0,3803,0.167499699244,0.170320803583,0.163003786459,0.165733155317,0.164057013484,0.169385541912,6,2
0,9,0,2594,0.170024078437,0.165740789838,0.167560027413,0.164676964288,0.166774238321,0.165223901704,1,2
0,9,0,1435,0.166541321542,0.162770870156,0.163522245798,0.171202181015,0.165261272924,0.170702108566,6,2
0,9,0,1682,0.165443851437,0.174256742795,0.16437903261,0.166322867463,0.163198127444,0.166399378251,2,2
0,9,0,5175,0.166307882062,0.171151991793,0.164213734638,0.165934202643,0.164550531489,0.167841657375,2,2
0,9,0,1768,0.165460283875,0.167547429887,0.167305543084,0.168102454508,0.163121564632,0.168462724014,6,2
0,9,0,4953,0.172778714156,0.168325165171,0.166250590004,0.16807405592,0.162582056968,0.161989417782,1,2
0,9,0,5516,0.166930118514,0.169308411997,0.163234756343,0.166150685201,0.163627457718,0.170748570226,6,2
0,9,0,4500,0.170517215167,0.167083237806,0.168060941231,0.167088546232,0.165779432105,0.161470627459,1,2
0,9,0,5956,0.167424181558,0.171054723462,0.164547741325,0.166469891328,0.164143079118,0.16636038321,2,2
0,9,0,5449,0.169269459562,0.173712693522,0.167339725297,0.166217630177,0.161715996944,0.161744494499,2,2
0,9,0,3668,0.166095206275,0.171977032638,0.163820167201,0.16599440195,0.164246137326,0.16786705461,2,2
0,9,0,800,0.165740047908,0.173529789652,0.167025449412,0.165962904457,0.162864662844,0.164877145727,2,2
% 
% 
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