% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 06:59:57 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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0,9,0,1730,0.16953616265,0.164930167305,0.146463513807,0.16968829274,0.153284751491,0.196097112006,6,1
0,9,0,790,0.175942002268,0.175136587656,0.182386498184,0.164302043035,0.122966260782,0.179266608075,3,1
0,9,0,2101,0.175052778269,0.122649620729,0.137080032771,0.197914586885,0.184220558521,0.183082422824,4,1
0,9,0,4797,0.208069024879,0.157168164418,0.0945109248596,0.191770572557,0.151386938764,0.197094374523,1,1
0,9,0,5248,0.170476396815,0.172806146568,0.167017709194,0.149523886845,0.162801592018,0.177374268559,6,2
0,9,0,4902,0.192106799474,0.179087330451,0.179781816631,0.170534326491,0.163272865101,0.115216861851,1,2
0,9,0,3670,0.176359360393,0.164643428767,0.164586459963,0.157643241257,0.162731132666,0.174036376955,1,2
0,9,0,4827,0.177239575873,0.162406617211,0.188174470845,0.154878929241,0.135666910672,0.181633496158,3,2
0,9,0,934,0.170910055976,0.17863515279,0.172060925285,0.165886839443,0.137638261984,0.174868764521,2,2
0,9,0,4096,0.213560942254,0.160667718939,0.140988036305,0.128235783121,0.137224983454,0.219322535927,6,2
0,9,0,2543,0.172894380667,0.160003705285,0.165259215344,0.159017991746,0.175617637003,0.167207069955,5,2
0,9,0,1668,0.172068462599,0.170215061716,0.163957211366,0.160818433695,0.155418895781,0.177521934843,6,2
0,9,0,3212,0.17666495976,0.159675397798,0.161357209758,0.160987386042,0.162769921848,0.178545124795,6,2
0,9,0,1095,0.174518077796,0.166266888361,0.171561534615,0.159208729191,0.145182071294,0.183262698743,6,2
0,9,0,120,0.169704935941,0.16467962736,0.171693087098,0.15505194734,0.158741776218,0.180128626044,6,2
0,9,0,644,0.17188484487,0.168266117146,0.166571239298,0.151672740488,0.16866708053,0.172937977668,6,2
0,9,0,224,0.182934099354,0.17532471399,0.17854526828,0.143127824355,0.134302444589,0.185765649431,6,2
0,9,0,3509,0.166494972594,0.165665484159,0.156084417712,0.161999853648,0.148536455763,0.201218816125,6,2
0,9,0,4831,0.170098300093,0.160319801793,0.165369139644,0.163984579767,0.161792562524,0.17843561618,6,2
0,9,0,5186,0.166203925,0.178093232827,0.183753050361,0.148415572157,0.139364844416,0.184169375239,6,2
0,9,0,5518,0.18865557648,0.189904911831,0.197237882789,0.142733258093,0.131755258587,0.14971311222,3,2
0,9,0,3784,0.206579404515,0.157414049395,0.095604220641,0.192892876848,0.152008564856,0.195500883744,1,2
0,9,0,5023,0.175894870576,0.16541495377,0.170254273549,0.145988458599,0.139907112158,0.202540331348,6,2
0,9,0,4317,0.179538653446,0.174277647762,0.175078799419,0.167915305677,0.132999546475,0.170190047222,1,2
0,9,0,1268,0.174529426694,0.163122590162,0.160999345957,0.163014703078,0.161108326865,0.177225607244,6,2
0,9,0,5257,0.170933267334,0.17895235421,0.171833060622,0.16598148157,0.137429956841,0.174869879422,2,2
0,9,0,5775,0.170594293971,0.181738976894,0.163037480672,0.142615801919,0.161353877458,0.180659569087,2,2
0,9,0,3976,0.172137615648,0.162656094263,0.163625795156,0.159954700557,0.173208490874,0.168417303503,5,2
0,9,0,674,0.176638789285,0.174334123255,0.181715609167,0.161622932258,0.117609014094,0.18807953194,6,2
0,9,0,5339,0.172247445773,0.187676872892,0.155132631317,0.142851066681,0.157515108865,0.184576874472,2,2
0,9,0,1756,0.16287673079,0.170670361355,0.124704382167,0.174264204742,0.152102049985,0.21538227096,6,2
0,9,0,3069,0.172624454665,0.156420995821,0.163380595812,0.157811859015,0.165241562175,0.184520532513,6,2
0,9,0,4123,0.176618714878,0.176369446104,0.177093742594,0.168233682139,0.134717812773,0.166966601513,3,2
0,9,0,802,0.173674923674,0.177977538073,0.176643965146,0.161909240954,0.139519903057,0.170274429096,2,2
0,9,0,3650,0.165250608299,0.156064554606,0.157209733718,0.1765012898,0.142712297199,0.202261516378,6,2
0,9,0,5888,0.169212303191,0.162789691766,0.166419659791,0.152304372718,0.159741761016,0.189532211518,6,2
0,9,0,4701,0.169528464276,0.171088798905,0.170038198726,0.157342123306,0.152211762072,0.179790652715,6,2
0,9,0,4075,0.172226276344,0.161040852027,0.151421328673,0.165971028126,0.142012337087,0.207328177742,6,2
0,9,0,3401,0.201386429167,0.115024799767,0.192432935545,0.144502965919,0.127754462441,0.21889840716,6,2
0,9,0,3803,0.175014391227,0.165341233632,0.152566885209,0.163456865659,0.156224263118,0.187396361154,6,2
0,9,0,2594,0.171993040525,0.152129971424,0.166371210915,0.159253695968,0.175626329383,0.174625751784,5,2
0,9,0,1435,0.167141471595,0.141505816098,0.156946875247,0.171968331648,0.146243417605,0.216194087807,6,2
0,9,0,1682,0.161341372969,0.173841582067,0.128264662132,0.174350178728,0.14914835507,0.213053849033,6,2
0,9,0,5175,0.175076729289,0.180400754756,0.15189794353,0.14693815571,0.143220703233,0.202465713481,6,2
0,9,0,1768,0.16530151542,0.154742798667,0.156414310347,0.177679566235,0.143878102848,0.201983706482,6,2
0,9,0,4953,0.193814132524,0.187912869922,0.180996589796,0.17242717962,0.15072793929,0.114121288848,1,2
0,9,0,5516,0.166876406939,0.162414045776,0.152576537415,0.164202345039,0.150555547668,0.203375117163,6,2
0,9,0,4500,0.192115610673,0.184519641125,0.178697324321,0.171610510433,0.160897078194,0.112159835254,1,2
0,9,0,5956,0.173783735718,0.182038449495,0.157531976407,0.143335427643,0.161482665005,0.181827745732,2,2
0,9,0,5449,0.188978815435,0.178841603199,0.177597486462,0.170089268885,0.165453061678,0.119039764342,1,2
0,9,0,3668,0.174067567861,0.179182737672,0.152521692119,0.147371486662,0.143420366502,0.203436149183,6,2
0,9,0,800,0.18172819918,0.174971893842,0.190053570738,0.146750903136,0.116274113095,0.190221320008,6,2
% 
% 
%