% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 21:57:41 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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0,9,0,4902,0.168155523215,0.167985631016,0.167820369767,0.168419202574,0.164876475811,0.162742797617,1,2
0,9,0,3670,0.166883733772,0.169478426057,0.165079911903,0.165514522154,0.167228680956,0.165814725158,2,2
0,9,0,4827,0.166770095251,0.167923367969,0.169692529419,0.1654027892,0.163817292362,0.166393925799,3,2
0,9,0,934,0.17160791403,0.168378539137,0.164996354384,0.16419763342,0.163024835302,0.167794723727,1,2
0,9,0,4096,0.167217914738,0.166082893656,0.165688230515,0.166702789392,0.166182287412,0.168125884287,6,2
0,9,0,2543,0.166755797265,0.166329334278,0.168434335115,0.165383084814,0.167447100296,0.165650348232,3,2
0,9,0,1668,0.167737996186,0.167712613769,0.165783178366,0.166073949753,0.165775570737,0.166916691189,1,2
0,9,0,3212,0.167615594317,0.165873617001,0.165636972369,0.167224167991,0.166419087725,0.167230560597,6,2
0,9,0,1095,0.167940527536,0.166140819725,0.166001668903,0.167172993793,0.165562728767,0.167181261275,1,2
0,9,0,120,0.167015491738,0.167435950701,0.166668193444,0.165782677899,0.165741238723,0.167356447495,2,2
0,9,0,644,0.165412004011,0.168306996407,0.167565420396,0.165354653174,0.166587329288,0.166773596724,2,2
0,9,0,224,0.167253875744,0.167597145144,0.167086861971,0.165964291325,0.164513857666,0.167583968151,3,2
0,9,0,3509,0.161834123102,0.17035504749,0.17101703036,0.161849123845,0.163496793857,0.171447881346,6,2
0,9,0,4831,0.166979619647,0.166541837009,0.167030504174,0.166172870513,0.166245078942,0.167030089716,1,2
0,9,0,5186,0.16745993242,0.16661188872,0.168018944961,0.164358175602,0.166087534069,0.167463524227,3,2
0,9,0,5518,0.167346342947,0.167690710371,0.168045825324,0.165938595822,0.166944852529,0.164033673007,3,2
0,9,0,3784,0.168748534619,0.165322558557,0.165171840492,0.16845019705,0.165478254292,0.166828614991,1,2
0,9,0,5023,0.167342082687,0.167002600604,0.165605353375,0.166184672935,0.165509228097,0.168356062302,6,2
0,9,0,4317,0.166744048241,0.168667339423,0.16698867492,0.166720622377,0.164995361048,0.165883953991,2,2
0,9,0,1268,0.16831366778,0.166872375651,0.165378142739,0.167477417927,0.165963127426,0.165995268476,1,2
0,9,0,5257,0.167655583315,0.172606752983,0.164954304432,0.164148715376,0.163055566801,0.167579077093,2,2
0,9,0,5775,0.166469057843,0.170015922622,0.166337052021,0.165245816967,0.16516292141,0.166769229137,2,2
0,9,0,3976,0.167822144623,0.166202781283,0.166993399248,0.166473012697,0.167421003871,0.165087658277,1,2
0,9,0,674,0.166856776999,0.168835261303,0.167135727732,0.166300417968,0.164341638705,0.166530177294,2,2
0,9,0,5339,0.166803170752,0.169602284768,0.16571773867,0.167046435536,0.164763832557,0.166066537716,2,2
0,9,0,1756,0.166988683178,0.167437794854,0.165332175785,0.167904360236,0.165122268776,0.167214717171,6,2
0,9,0,3069,0.166857172451,0.165424361179,0.16580375521,0.167789497022,0.167310711592,0.166814502547,4,2
0,9,0,4123,0.166316917957,0.16792429395,0.167310227316,0.167980967533,0.164841840535,0.165625752709,4,2
0,9,0,802,0.167197685107,0.169123684479,0.16694705594,0.165898800474,0.164822692907,0.166010081092,2,2
0,9,0,3650,0.166969795743,0.167169117384,0.165388851695,0.167965084484,0.165130260257,0.167376890437,4,2
0,9,0,5888,0.166986450509,0.167069946223,0.165235148975,0.166180419116,0.165742252935,0.168785782242,6,2
0,9,0,4701,0.166237210077,0.171694947135,0.16526844983,0.166394887867,0.16421747401,0.166187031081,2,2
0,9,0,4075,0.166598379256,0.167571092854,0.165018772917,0.167025387568,0.165984291004,0.167802076401,6,2
0,9,0,3401,0.16638143399,0.165946190133,0.167472899058,0.167251165427,0.165023897181,0.167924414212,6,2
0,9,0,3803,0.167181219026,0.167992968977,0.164877132616,0.166600156495,0.165897616765,0.167450906121,6,2
0,9,0,2594,0.167747124682,0.166602893157,0.166787057855,0.165743084133,0.166841151333,0.16627868884,1,2
0,9,0,1435,0.167171149347,0.164802942284,0.165889159252,0.16759711705,0.166485227676,0.168054404391,6,2
0,9,0,1682,0.166446671578,0.169168295964,0.165287942268,0.167137154696,0.16485850607,0.167101429424,2,2
0,9,0,5175,0.1666352219,0.16762683107,0.165755383498,0.16698053871,0.165618353358,0.167383671464,6,2
0,9,0,1768,0.166218274519,0.166438262678,0.167887730312,0.167250898601,0.16477759683,0.16742723706,6,2
0,9,0,4953,0.16855274248,0.168320802026,0.167689647195,0.167814885652,0.16479178364,0.162830139006,2,2
0,9,0,5516,0.167539608848,0.166917076488,0.164272798684,0.166753420448,0.165295452385,0.169221643148,6,2
0,9,0,4500,0.167894456122,0.167419342439,0.168078504453,0.167031760118,0.166930349638,0.16264558723,1,2
0,9,0,5956,0.167518953784,0.168962303893,0.165738422822,0.166122519128,0.164714800972,0.166942999401,2,2
0,9,0,5449,0.167960054404,0.16814284801,0.167619448869,0.167460576305,0.165792597893,0.163024474519,2,2
0,9,0,3668,0.166506580401,0.167944191484,0.165925598157,0.166645409166,0.165561096493,0.1674171243,2,2
0,9,0,800,0.166335733725,0.171121631481,0.167323676794,0.165970605952,0.164063238113,0.165185113934,2,2
% 
% 
%