% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 11:02:11 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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0,9,0,4902,0.167324740664,0.166789932754,0.166720507613,0.16691348532,0.166124478883,0.166126854766,1,2
0,9,0,3670,0.167010445189,0.166500128472,0.166661716917,0.166373906921,0.166328134738,0.167125667763,6,2
0,9,0,4827,0.167014845955,0.166558610973,0.167175837602,0.166324964397,0.165890378654,0.167035362419,3,2
0,9,0,934,0.167111962746,0.166708078266,0.166754759146,0.166357563198,0.165719973647,0.167347662997,6,2
0,9,0,4096,0.167097090154,0.166727457495,0.166593239673,0.166703347358,0.165885278699,0.166993586621,6,2
0,9,0,2543,0.166859318239,0.166329281355,0.166660759724,0.166436224196,0.166620500746,0.16709391574,1,2
0,9,0,1668,0.166906778631,0.166428290769,0.166739845236,0.166357777643,0.166337166353,0.167230141368,6,2
0,9,0,3212,0.166942588005,0.166445331222,0.166648968915,0.166481047459,0.166444228969,0.16703783543,1,2
0,9,0,1095,0.167127033161,0.166471392243,0.16675676878,0.166331744066,0.166076719319,0.167236342431,6,2
0,9,0,120,0.166869124252,0.166444740542,0.166860550345,0.166322546063,0.16639155164,0.167111487158,6,2
0,9,0,644,0.166941598197,0.166519849832,0.166941062602,0.166161207803,0.166340175463,0.167096106102,6,2
0,9,0,224,0.167101150237,0.166491713753,0.166803653856,0.16636444123,0.16595671273,0.167282328194,6,2
0,9,0,3509,0.166557182702,0.166345973179,0.166024914289,0.166454066645,0.165915507179,0.168702356007,6,2
0,9,0,4831,0.166839432906,0.166348824393,0.166755111183,0.16645096264,0.166429243702,0.167176425176,6,2
0,9,0,5186,0.166918123665,0.166629206961,0.166941686209,0.166551292253,0.166049174067,0.166910516845,6,2
0,9,0,5518,0.167519672841,0.16699204776,0.167788525213,0.166173549333,0.165494702635,0.166031502217,3,2
0,9,0,3784,0.167849685029,0.165632361071,0.165585623528,0.167821850491,0.165987737181,0.167122742701,1,2
0,9,0,5023,0.166983933827,0.166432329916,0.166766469878,0.166457168797,0.166166312213,0.167193785368,6,2
0,9,0,4317,0.167146025533,0.166666524438,0.167006337337,0.166420936646,0.165873798158,0.166886377887,3,2
0,9,0,1268,0.166976921789,0.166490851392,0.1663817468,0.166709771435,0.166541125335,0.166899583249,1,2
0,9,0,5257,0.167113054935,0.166695487478,0.166755782513,0.166352334213,0.165724469722,0.167358871139,6,2
0,9,0,5775,0.166846837927,0.166721499461,0.166767147869,0.166276331459,0.166262774356,0.167125408928,6,2
0,9,0,3976,0.166835929899,0.1664326284,0.166539707955,0.166638852408,0.166724474285,0.166828407053,1,2
0,9,0,674,0.167150639822,0.166529295982,0.167046258026,0.166242371578,0.165897975136,0.167133459456,6,2
0,9,0,5339,0.166849695125,0.166697019281,0.166715253705,0.166330151534,0.16621919602,0.167188684335,6,2
0,9,0,1756,0.166580884446,0.166478943155,0.16617533734,0.167045900575,0.165871896478,0.167847038006,6,2
0,9,0,3069,0.166937680829,0.166388136749,0.166678216602,0.166383416889,0.166418762091,0.167193786841,6,2
0,9,0,4123,0.167129321999,0.166716533089,0.167038760965,0.166440164419,0.165824360501,0.166850859028,3,2
0,9,0,802,0.167050348383,0.166649757719,0.16708632373,0.166346995841,0.165857815222,0.167008759106,3,2
0,9,0,3650,0.166580884446,0.166478943155,0.16617533734,0.167045900575,0.165871896478,0.167847038006,6,2
0,9,0,5888,0.166793080471,0.166455277526,0.166568589618,0.166351853398,0.166344504393,0.167486694594,6,2
0,9,0,4701,0.166994843183,0.166590816583,0.166872301155,0.166294968587,0.166025828036,0.167221242456,6,2
0,9,0,4075,0.166586614664,0.166236371822,0.165930670457,0.166419050868,0.165890655462,0.168936636727,6,2
0,9,0,3401,0.167550721477,0.165720069157,0.166701218034,0.166134171946,0.165875265548,0.168018553838,6,2
0,9,0,3803,0.166951323671,0.166418876542,0.166457888067,0.166518679291,0.166280833534,0.167372398894,6,2
0,9,0,2594,0.166798324741,0.166190146399,0.166612213865,0.166514201794,0.166749477495,0.167135635705,6,2
0,9,0,1435,0.166455773371,0.166043672839,0.165963604987,0.166661728871,0.165796937318,0.169078282614,6,2
0,9,0,1682,0.166574895519,0.166505399418,0.166212904491,0.167022436558,0.165893832883,0.167790531131,6,2
0,9,0,5175,0.16661665304,0.16675620556,0.166272840728,0.166793645822,0.166092024949,0.167468629901,6,2
0,9,0,1768,0.166587718777,0.166459939995,0.166171218333,0.167057431735,0.165883411438,0.167840279722,6,2
0,9,0,4953,0.167332426909,0.166861425751,0.166705399534,0.166935406924,0.166082477859,0.166082863022,1,2
0,9,0,5516,0.166548561343,0.166324356154,0.166021666343,0.166458759219,0.16594814598,0.16869851096,6,2
0,9,0,4500,0.167332426909,0.166861425751,0.166705399534,0.166935406924,0.166082477859,0.166082863022,1,2
0,9,0,5956,0.166896278533,0.166618687923,0.166741773415,0.166304889822,0.166270414688,0.167167955619,6,2
0,9,0,5449,0.16729646562,0.166773402083,0.166691538556,0.166943467476,0.166182655388,0.166112470878,1,2
0,9,0,3668,0.16661665304,0.16675620556,0.166272840728,0.166793645822,0.166092024949,0.167468629901,6,2
0,9,0,800,0.167025896164,0.166544381123,0.167146095344,0.166316023822,0.16586536044,0.167102243107,6,2
% 
% 
%