% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 02:03:02 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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0,9,0,5023,0.0393896658897,0.0384867909868,0.0445245032745,0.0585849150849,0.0399729437229,0.779041181041,6,2
0,9,0,4317,0.0664466366966,0.595734071484,0.122654595405,0.149926934177,0.0310024420024,0.0342353202353,2,2
0,9,0,1268,0.352531857032,0.196445859696,0.042211954712,0.274542096792,0.0548791763792,0.0793890553891,1,2
0,9,0,5257,0.212128094128,0.497435009435,0.19975013875,0.0152118437118,0.0172201409701,0.0582547730048,2,2
0,9,0,5775,0.0790808635809,0.678865356865,0.0352077922078,0.104062604063,0.0232034077034,0.07957997558,2,2
0,9,0,3976,0.374386058386,0.230798118548,0.123399350649,0.115684565435,0.122015123765,0.0337167832168,1,2
0,9,0,674,0.180617715618,0.48839033189,0.0930705960706,0.101907425907,0.0126063936064,0.123407536908,2,2
0,9,0,5339,0.0724044566545,0.654371406371,0.0223103563104,0.171472832723,0.0186825396825,0.0607584082584,2,2
0,9,0,1756,0.0443875291375,0.155193861694,0.0360681818182,0.283667388167,0.00111111111111,0.479571928072,6,2
0,9,0,3069,0.164624181374,0.0368804528805,0.109562049062,0.223371878122,0.228479353979,0.237082084582,6,2
0,9,0,4123,0.0436571206571,0.447804251304,0.175703546454,0.320217865468,0.00503113553114,0.00758608058608,2,2
0,9,0,802,0.132359057609,0.408221833722,0.291814518815,0.152927849928,0.0102216117216,0.00445512820513,2,2
0,9,0,3650,0.0437211122211,0.190085497835,0.0316792929293,0.303038100788,0.00111111111111,0.430364885115,6,2
0,9,0,5888,0.076354950605,0.0787931512932,0.0166756576757,0.079125957376,0.0231866189366,0.725863664114,6,2
0,9,0,4701,0.149878149628,0.651573038073,0.0211075036075,0.0899352591853,0.0105391830392,0.0769668664669,2,2
0,9,0,4075,0.0271138861139,0.134226634477,0.00142857142857,0.108989121989,0.0673070818071,0.660934704185,6,2
0,9,0,3401,0.0679212731713,0.0223946608947,0.222492035742,0.3559000444,0.0185084082584,0.312783577534,4,2
0,9,0,3803,0.167493423243,0.29666011766,0.00822691197691,0.0286787934288,0.0339967254967,0.464944028194,6,2
0,9,0,2594,0.251954323454,0.0587754467754,0.170836330336,0.0902390942391,0.316042457542,0.112152347652,5,2
0,9,0,1435,0.0349253246753,0.001,0.0461264846265,0.20780022755,0.00540476190476,0.704743201243,6,2
0,9,0,1682,0.0295953490953,0.25427994228,0.0492269119769,0.391878343878,0.0,0.275019452769,4,2
0,9,0,5175,0.0632934842935,0.619284604285,0.0454017094017,0.103891636142,0.0412974525475,0.126831113331,2,2
0,9,0,1768,0.0147264124764,0.106808941059,0.195868825619,0.29216006216,0.00201923076923,0.388416527917,6,2
0,9,0,4953,0.337381174381,0.393713536464,0.08311996337,0.184785325785,0.001,0.0,2,2
0,9,0,5516,0.0697062104562,0.192074619825,0.0184141414141,0.0608596958597,0.012471972472,0.646473359973,6,2
0,9,0,4500,0.487778416028,0.155191502942,0.254258436008,0.0675268620269,0.0352447829948,0.0,1,2
0,9,0,5956,0.197458985459,0.415650987901,0.0353308913309,0.202697913198,0.0590598845599,0.0898013375513,2,2
0,9,0,5449,0.275508047508,0.501591464091,0.122178626929,0.0582754467754,0.0424464146964,0.0,2,2
0,9,0,3668,0.0600063270063,0.650825063825,0.036235042735,0.112329087579,0.0395009157509,0.101103563104,2,2
0,9,0,800,0.10887975913,0.287705239205,0.524469308469,0.0627195027195,0.00208333333333,0.0141428571429,3,2
% 
% 
%