% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 10:17:44 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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0,9,0,1668,0.166950308144,0.16636984352,0.166774370019,0.166360730093,0.166343400201,0.167201348024,6,2
0,9,0,3212,0.166991017067,0.166279547176,0.16658994571,0.166530406898,0.166593991987,0.167015091161,6,2
0,9,0,1095,0.166977243664,0.166446506314,0.166872449941,0.16628856087,0.166186928556,0.167228310655,6,2
0,9,0,120,0.166945445643,0.166338174312,0.166842988582,0.166347842201,0.166349887763,0.167175661499,6,2
0,9,0,644,0.167019791171,0.166374575276,0.166790328781,0.16633099348,0.166361813828,0.167122497464,6,2
0,9,0,224,0.166998216278,0.166503182665,0.166798262138,0.166324340893,0.166150798107,0.167225199919,6,2
0,9,0,3509,0.166596143239,0.166355046847,0.166165475032,0.166402635543,0.166014123096,0.168466576244,6,2
0,9,0,4831,0.166937682252,0.166277958352,0.166683703434,0.166447328852,0.166455690488,0.167197636622,6,2
0,9,0,5186,0.166875461449,0.166545195599,0.166737833076,0.166421482762,0.166154317499,0.167265709615,6,2
0,9,0,5518,0.167093648846,0.166563693839,0.16728791138,0.166184502521,0.166059875031,0.166810368383,3,2
0,9,0,3784,0.167791739655,0.165486936357,0.165830062902,0.167445972627,0.16603414488,0.167411143579,1,2
0,9,0,5023,0.167048107737,0.166435854648,0.166668600264,0.166353169747,0.166172788784,0.167321478821,6,2
0,9,0,4317,0.167010933886,0.166432506222,0.166891739541,0.166331479993,0.166126136211,0.167207204148,6,2
0,9,0,1268,0.167061170421,0.166308929022,0.1666050713,0.166535704619,0.166378285377,0.167110839262,6,2
0,9,0,5257,0.166982755523,0.166535742296,0.166815725948,0.166293994683,0.165961789748,0.167409991801,6,2
0,9,0,5775,0.166922514631,0.166466301121,0.166831444376,0.166314401178,0.166269740409,0.167195598285,6,2
0,9,0,3976,0.166979214404,0.166251147262,0.166541354477,0.166595945938,0.166732189727,0.166900148192,1,2
0,9,0,674,0.16694658095,0.166455833033,0.166957786205,0.166238849683,0.166152149416,0.167248800713,6,2
0,9,0,5339,0.166957484844,0.166429216166,0.166780830759,0.166344555923,0.166297597726,0.167190314582,6,2
0,9,0,1756,0.1665558451,0.166149468273,0.16611684265,0.166647444588,0.166041657473,0.168488741917,6,2
0,9,0,3069,0.166961694695,0.16632422306,0.166762645945,0.166370385731,0.166458352366,0.167122698204,6,2
0,9,0,4123,0.166996744425,0.166435727659,0.166916954587,0.166316562907,0.166117602946,0.167216407476,6,2
0,9,0,802,0.166957025276,0.16653467856,0.166926999737,0.166270081877,0.166108738669,0.167202475881,6,2
0,9,0,3650,0.1665558451,0.166149468273,0.16611684265,0.166647444588,0.166041657473,0.168488741917,6,2
0,9,0,5888,0.166924187018,0.166397835837,0.166631518901,0.166363040001,0.166353536182,0.16732988206,6,2
0,9,0,4701,0.166936756844,0.166512268762,0.166918795296,0.166253568688,0.166161172158,0.167217438252,6,2
0,9,0,4075,0.166596143239,0.166355046847,0.166165475032,0.166402635543,0.166014123096,0.168466576244,6,2
0,9,0,3401,0.167080167651,0.166162277095,0.166786249186,0.166452352492,0.166328235187,0.16719071839,6,2
0,9,0,3803,0.16695257378,0.166334054318,0.166585572094,0.166473691014,0.166399739653,0.16725436914,6,2
0,9,0,2594,0.166994366918,0.166131673074,0.166548616428,0.16659614899,0.166752317877,0.166976876712,6,2
0,9,0,1435,0.166581312455,0.166126174735,0.165997304423,0.166699314455,0.166141633647,0.168454260285,6,2
0,9,0,1682,0.166542237395,0.166194186784,0.166150596303,0.166615352988,0.166037145398,0.168460481132,6,2
0,9,0,5175,0.16657253312,0.166406795191,0.166281858657,0.166363081352,0.165984273104,0.168391458576,6,2
0,9,0,1768,0.1665558451,0.166149468273,0.16611684265,0.166647444588,0.166041657473,0.168488741917,6,2
0,9,0,4953,0.167098416997,0.166390575251,0.1666278941,0.166517251638,0.166536651439,0.166829210575,1,2
0,9,0,5516,0.166595729187,0.166349408556,0.166165030153,0.166403523759,0.166011001163,0.168475307182,6,2
0,9,0,4500,0.167098416997,0.166390575251,0.1666278941,0.166517251638,0.166536651439,0.166829210575,1,2
0,9,0,5956,0.16695404525,0.166435546324,0.166796488068,0.166335094116,0.166292624534,0.167186201708,6,2
0,9,0,5449,0.167079752247,0.166338381275,0.166585751199,0.166538734771,0.166587712871,0.166869667637,1,2
0,9,0,3668,0.166558232957,0.166388803738,0.166260902019,0.166381702324,0.166004976376,0.168405382587,6,2
0,9,0,800,0.166963159115,0.16646338894,0.166910253543,0.166287936544,0.166091728884,0.167283532973,6,2
% 
% 
%