% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 11:47:35 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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0,9,0,5023,0.0674529303587,0.0502394971219,0.0409991247663,0.0501648762671,0.0138557901995,0.777287781287,6,2
0,9,0,4317,0.164651522967,0.356584175818,0.180197993415,0.148372736075,0.0383382198203,0.111855351905,2,2
0,9,0,1268,0.244926389865,0.152874639293,0.100539405236,0.177069702527,0.0605636445449,0.264026218534,6,2
0,9,0,5257,0.181872390261,0.346978031227,0.17718055945,0.0328125710498,0.0156972864439,0.245459161568,2,2
0,9,0,5775,0.163685843656,0.404767719571,0.0794437877937,0.10542813212,0.0663653410319,0.180309175828,2,2
0,9,0,3976,0.213341521004,0.218167673618,0.152106325301,0.147021371291,0.226772655049,0.0425904537371,5,2
0,9,0,674,0.192987912381,0.246410236089,0.239745827773,0.0829491890073,0.0188327407514,0.219074093999,2,2
0,9,0,5339,0.150990445069,0.446506858747,0.0342414557925,0.125361385796,0.0477062602079,0.195193594387,2,2
0,9,0,1756,0.0451491892752,0.167287495871,0.0759079088047,0.23091143638,0.0127324116113,0.468011558058,6,2
0,9,0,3069,0.194553572634,0.0557643408686,0.119887072859,0.14271554393,0.176205014506,0.310874455203,6,2
0,9,0,4123,0.0871271755678,0.383094662523,0.31757153165,0.148154817968,0.0231806063416,0.0408712059489,2,2
0,9,0,802,0.110759832292,0.311704634599,0.404014143086,0.10485528622,0.0114522727331,0.0572138310702,3,2
0,9,0,3650,0.0444477364089,0.173433160799,0.0652491679461,0.238835677471,0.0110577321241,0.466976525251,6,2
0,9,0,5888,0.0746422870708,0.088702588942,0.0451383088209,0.0552197159567,0.0400558451165,0.696241254093,6,2
0,9,0,4701,0.119149914252,0.344687547142,0.0563040630541,0.0567953191481,0.0161977320699,0.406865424334,6,2
0,9,0,4075,0.031936571443,0.049035588597,0.00655690141619,0.0414881667904,0.0343663540294,0.836616417724,6,2
0,9,0,3401,0.129863857453,0.0270377686483,0.261505208413,0.255998197766,0.0442509097617,0.281344057957,6,2
0,9,0,3803,0.29421028734,0.166363610656,0.0124415464739,0.0537319257959,0.0200595735358,0.453193056199,6,2
0,9,0,2594,0.297699121398,0.127861060856,0.206993200633,0.0652720345144,0.200869279327,0.101305303272,1,2
0,9,0,1435,0.0262293655241,0.0063371880957,0.0174356334793,0.0601437350348,0.00710123794334,0.882752839923,6,2
0,9,0,1682,0.0442182901099,0.144742760429,0.0907062510722,0.251176797472,0.00612632370898,0.463029577208,6,2
0,9,0,5175,0.0868721795712,0.314864988539,0.058917972126,0.150771768841,0.0746479728028,0.31392511812,2,2
0,9,0,1768,0.0405784628826,0.117373605081,0.125343416916,0.230313344906,0.0100320230723,0.476359147141,6,2
0,9,0,4953,0.406303113753,0.272943972402,0.168159294804,0.138914918612,0.00847022469437,0.00520847573479,1,2
0,9,0,5516,0.0479095683113,0.0593058641721,0.0190977654264,0.0492411660292,0.018507103072,0.805938532989,6,2
0,9,0,4500,0.426808586438,0.195518501986,0.220680527234,0.120126833672,0.0368655506705,0.0,1,2
0,9,0,5956,0.202965249052,0.351886851833,0.0555965631344,0.193215900269,0.0586306557009,0.13770478001,2,2
0,9,0,5449,0.337750190409,0.333124762638,0.143879280353,0.135140004949,0.0474741827037,0.00263157894737,1,2
0,9,0,3668,0.0948349328608,0.308258226336,0.0485680147283,0.172629736679,0.0709612001661,0.30474788923,2,2
0,9,0,800,0.119454148475,0.163598802099,0.544863396038,0.09229087027,0.0152622882814,0.0645304948362,3,2
% 
% 
%