% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 12:46:33 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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0,9,0,5518,0.0934483508837,0.503842590072,0.244838810227,0.0134852508603,0.136517405024,0.00786759293338,2,2
0,9,0,3784,0.761457964464,0.0094149487853,0.000909090909091,0.195079410184,0.000909090909091,0.0322294947485,1,2
0,9,0,5023,0.153737490408,0.0327001557954,0.227664945692,0.0951929079692,0.02725766064,0.463446839495,6,2
0,9,0,4317,0.0881555420843,0.558728779777,0.139829137151,0.150991312437,0.0316273999049,0.0306678286454,2,2
0,9,0,1268,0.260436285807,0.276670515458,0.0970216128471,0.203715067655,0.0528780117371,0.109278506495,2,2
0,9,0,5257,0.169772359349,0.507973940834,0.190626976051,0.0297310858216,0.0157601811673,0.0861354567775,2,2
0,9,0,5775,0.118116315616,0.562508710717,0.0605732310775,0.084097225401,0.0556322296984,0.119072287491,2,2
0,9,0,3976,0.337589554237,0.119304215607,0.17575870191,0.0936373842016,0.207496642934,0.0662135011102,1,2
0,9,0,674,0.13520080805,0.409158619116,0.197232641756,0.0872947592483,0.0316591804309,0.139453991399,2,2
0,9,0,5339,0.0951611279587,0.654086080629,0.039583292997,0.0668595421177,0.0316541020039,0.112655854294,2,2
0,9,0,1756,0.0740928561892,0.230719999256,0.0733569726197,0.328238612995,0.00279336349925,0.290798195441,4,2
0,9,0,3069,0.160187700543,0.0488264667909,0.109682553686,0.188104680235,0.218785781728,0.274412817016,6,2
0,9,0,4123,0.0837807702274,0.467347750633,0.222505523458,0.165205808467,0.033237489205,0.0279226580093,2,2
0,9,0,802,0.119690346161,0.468867356672,0.233756618768,0.121249760259,0.0248665517059,0.0315693664351,2,2
0,9,0,3650,0.0825843091807,0.232306579343,0.0735730898359,0.311869593126,0.00412669683258,0.295539731682,4,2
0,9,0,5888,0.0630836168046,0.0752609707544,0.0337643968519,0.0607239799674,0.0405180737305,0.726648961891,6,2
0,9,0,4701,0.109091290976,0.560082619135,0.0469617632969,0.0876074792511,0.0226146347203,0.173642212621,2,2
0,9,0,4075,0.0740279682048,0.0827706271627,0.0122881260466,0.174005064337,0.0970312538339,0.559876960415,6,2
0,9,0,3401,0.0575368317183,0.0280670905032,0.253026772763,0.34405008691,0.0280365349305,0.289282683175,4,2
0,9,0,3803,0.18757936959,0.146812616821,0.0108253911122,0.0303183835858,0.0301370965206,0.594327142371,6,2
0,9,0,2594,0.250151953954,0.193036943363,0.207726177288,0.0756135482165,0.15665234864,0.116819028538,1,2
0,9,0,1435,0.101646048396,0.00451226551227,0.0622768620269,0.192798146298,0.0,0.638766677767,6,2
0,9,0,1682,0.0435636420253,0.174794595884,0.0774779774319,0.282493777765,0.00425490196078,0.417415104933,6,2
0,9,0,5175,0.0693045850348,0.516725194611,0.0530596041386,0.13594842623,0.0943889299555,0.13057326003,2,2
0,9,0,1768,0.0430187399889,0.0772383935294,0.177475029743,0.323585822159,0.00316666666667,0.375515347913,6,2
0,9,0,4953,0.385471884883,0.345712217564,0.116953618664,0.124932434353,0.00990888583381,0.0170209587025,1,2
0,9,0,5516,0.130550699301,0.104477760544,0.00920268474216,0.118756427783,0.0174090909091,0.619603336722,6,2
0,9,0,4500,0.467878505353,0.146972620474,0.218896587674,0.125132079565,0.0390646513789,0.00205555555556,1,2
0,9,0,5956,0.204778199827,0.32563228421,0.0624136760213,0.198836453493,0.0665007963313,0.141838590116,2,2
0,9,0,5449,0.215638653143,0.486220460998,0.112579849201,0.133592839436,0.0492598638891,0.00270833333333,2,2
0,9,0,3668,0.0859346304281,0.529334843734,0.0337903733693,0.131865440502,0.0923654870242,0.126709224943,2,2
0,9,0,800,0.140306210001,0.246272456216,0.412019664288,0.0959662771439,0.0122780250365,0.0931573673145,3,2
% 
% 
%