% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 10:29:02 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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0,9,0,4902,0.167877574397,0.167072972938,0.167017981044,0.167016033696,0.16582455228,0.165190885645,1,2
0,9,0,3670,0.167418110165,0.166508488829,0.166578904567,0.166470585429,0.166162094951,0.166861816059,6,2
0,9,0,4827,0.166943608619,0.166731894559,0.167701546309,0.166340812637,0.165337411367,0.166944726509,3,2
0,9,0,934,0.167290876253,0.16721455954,0.16716233923,0.166065210636,0.164861315908,0.167405698434,6,2
0,9,0,4096,0.167160185199,0.166635207185,0.166307048684,0.166220347043,0.16552586372,0.168151348169,6,2
0,9,0,2543,0.166953370599,0.166233586663,0.166548568263,0.16629556168,0.166886598263,0.167082314532,5,2
0,9,0,1668,0.166941220993,0.166753942,0.16671130818,0.16635251838,0.166115498311,0.167125512136,6,2
0,9,0,3212,0.167092987821,0.166209374508,0.166429750727,0.166497156153,0.166489686612,0.16728104418,6,2
0,9,0,1095,0.16745205109,0.166260375441,0.166453868004,0.166048275591,0.165528557728,0.168256872147,6,2
0,9,0,120,0.166867549618,0.16650484271,0.166849625953,0.16625943714,0.166167647315,0.167350897263,6,2
0,9,0,644,0.166722848164,0.166099833798,0.166694095819,0.165852027629,0.166403240974,0.168227953616,6,2
0,9,0,224,0.167388901561,0.166287415919,0.166933006328,0.16598754426,0.165561370888,0.167841761046,6,2
0,9,0,3509,0.166670058812,0.166659648855,0.166305272531,0.166260326899,0.16543700993,0.168667682973,6,2
0,9,0,4831,0.166853826472,0.166271399239,0.16681445749,0.166347014141,0.166377430553,0.167335872105,6,2
0,9,0,5186,0.16692917887,0.166704617465,0.167500630353,0.166174395436,0.165822273914,0.166868903961,3,2
0,9,0,5518,0.167699990561,0.16853288681,0.168583561002,0.165804221249,0.164979522448,0.16439981793,3,2
0,9,0,3784,0.169675335276,0.165176236063,0.164487142354,0.169342250128,0.16474636464,0.166572671539,1,2
0,9,0,5023,0.167397258519,0.166052617501,0.166809480183,0.166263235791,0.165811634289,0.167665773717,6,2
0,9,0,4317,0.167165491084,0.167047768931,0.167417441922,0.16647783465,0.16526485667,0.166626606744,3,2
0,9,0,1268,0.167434710643,0.166549683015,0.166322997909,0.166724971492,0.166292863119,0.166674773821,1,2
0,9,0,5257,0.167290876253,0.16721455954,0.16716233923,0.166065210636,0.164861315908,0.167405698434,6,2
0,9,0,5775,0.166810307755,0.166966201586,0.166855964349,0.166316480191,0.166039355677,0.167011690442,2,2
0,9,0,3976,0.166972869905,0.166412047727,0.16659960455,0.166365430674,0.166883465473,0.166766581671,5,2
0,9,0,674,0.167249986442,0.16697584688,0.167220981143,0.16619104636,0.165291929554,0.167070209621,3,2
0,9,0,5339,0.166736625432,0.167166441719,0.166624351637,0.166352693225,0.165977752836,0.167142135151,2,2
0,9,0,1756,0.166561156893,0.166610186987,0.166128067967,0.167561857705,0.165419713276,0.167719017171,6,2
0,9,0,3069,0.166927154448,0.166101804109,0.166646730891,0.166320055552,0.166564685636,0.167439569365,6,2
0,9,0,4123,0.167038344586,0.16719154143,0.167600289517,0.166452830329,0.165172427519,0.166544566619,3,2
0,9,0,802,0.166979270778,0.167086452853,0.167635727723,0.166372270681,0.165255145171,0.166671132794,3,2
0,9,0,3650,0.166623042739,0.166353483652,0.16618910621,0.167608269997,0.16542167566,0.167804421742,6,2
0,9,0,5888,0.166986407486,0.166336951903,0.166275677988,0.166308082451,0.166049266908,0.168043613264,6,2
0,9,0,4701,0.166849039724,0.166720522872,0.166951818369,0.166215563268,0.165590378183,0.167672677584,6,2
0,9,0,4075,0.166911505571,0.166091655876,0.165751658939,0.166750584948,0.165822076299,0.168672518367,6,2
0,9,0,3401,0.166998239975,0.166321482852,0.166856672814,0.166446130538,0.165668596739,0.167708877081,6,2
0,9,0,3803,0.167087735046,0.166379301737,0.166215585295,0.166586870013,0.166093111635,0.167637396274,6,2
0,9,0,2594,0.166894058746,0.166037807251,0.166584677871,0.166301694464,0.166825633078,0.167356128589,5,2
0,9,0,1435,0.166413865666,0.165606418092,0.165921422446,0.16658557686,0.16511574036,0.170356976577,6,2
0,9,0,1682,0.166443980166,0.166710128732,0.166564604161,0.167041188496,0.165433390103,0.167806708343,6,2
0,9,0,5175,0.166622177116,0.167067978775,0.166079186892,0.166853332998,0.165915904547,0.167461419672,6,2
0,9,0,1768,0.166435762277,0.166213427889,0.167288216538,0.166958030971,0.165385016199,0.167719546126,6,2
0,9,0,4953,0.167916095301,0.167321782465,0.166934012634,0.167065931469,0.165674920759,0.165087257373,1,2
0,9,0,5516,0.166661183893,0.166293567409,0.165871942827,0.16644542722,0.165500810413,0.169227068238,6,2
0,9,0,4500,0.167902777425,0.167230652634,0.166940000779,0.167085941584,0.165773262313,0.165067365266,1,2
0,9,0,5956,0.166848620997,0.16686474813,0.166698784176,0.166372719984,0.166072014077,0.167143112636,6,2
0,9,0,5449,0.167857392207,0.167154618313,0.166998832063,0.167004526966,0.165798025992,0.165186604459,1,2
0,9,0,3668,0.166639442518,0.16704740039,0.166061104253,0.166856757094,0.16590073941,0.167494556335,6,2
0,9,0,800,0.167047856067,0.16675885945,0.167800503209,0.166339776725,0.165173881786,0.166879122764,3,2
% 
% 
%