% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 04:33:34 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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0,9,0,1268,0.237904242905,0.198722999227,0.111155601272,0.151154140281,0.0885827565937,0.212480259722,1,2
0,9,0,5257,0.146768545977,0.34752194077,0.202109567554,0.0300306555228,0.0254357941356,0.24813349604,2,2
0,9,0,5775,0.150193364067,0.432064704796,0.0927028473343,0.0742057319291,0.0634602613646,0.187373090509,2,2
0,9,0,3976,0.278735842706,0.145994568795,0.158124920681,0.0947627309485,0.283903040874,0.0384788959955,5,2
0,9,0,674,0.194582902743,0.280723382762,0.218802965233,0.0883039826811,0.0457183467274,0.171868419853,2,2
0,9,0,5339,0.126205974023,0.484251485377,0.0582960100559,0.101852301078,0.0417772994443,0.187616930022,2,2
0,9,0,1756,0.0584481900029,0.146661407028,0.0645634901184,0.221423880761,0.00619651326934,0.502706518821,6,2
0,9,0,3069,0.165207973247,0.0601233705091,0.131035581335,0.130957225805,0.202581831785,0.310094017319,6,2
0,9,0,4123,0.0887608715488,0.396558205617,0.248061750451,0.17361879968,0.0357133779167,0.057286994787,2,2
0,9,0,802,0.145124537303,0.313033237691,0.335771859054,0.120268303837,0.0196389617672,0.0661631003473,3,2
0,9,0,3650,0.0601378364675,0.151580779322,0.0596238119861,0.217891433796,0.0161954310183,0.49457070741,6,2
0,9,0,5888,0.0664790868272,0.0998382568468,0.0294266234134,0.0688152117031,0.0391600258526,0.696280795357,6,2
0,9,0,4701,0.122171954538,0.334830702634,0.0700276408168,0.0715687668849,0.024369484503,0.377031450623,6,2
0,9,0,4075,0.0600639435007,0.0526022428279,0.0118374152517,0.0885047160526,0.0375527051406,0.749438977227,6,2
0,9,0,3401,0.116165340939,0.0356229545711,0.269800276751,0.223155569589,0.0416745930011,0.313581265149,6,2
0,9,0,3803,0.260452840248,0.149074402432,0.0166485323394,0.0716743894869,0.0422174223419,0.459932413152,6,2
0,9,0,2594,0.270428274122,0.12458911402,0.177372848773,0.0892786306872,0.194821043801,0.143510088597,1,2
0,9,0,1435,0.0549245460066,0.0118207917559,0.0319706383695,0.0682631479341,0.0164791706886,0.816541705245,6,2
0,9,0,1682,0.0486061382084,0.142106098748,0.101106716052,0.216167166822,0.0219735073234,0.470040372846,6,2
0,9,0,5175,0.0923440513938,0.317670901849,0.0702447569482,0.142773508539,0.0849011047158,0.292065676555,2,2
0,9,0,1768,0.0528933427811,0.107928539272,0.105023205638,0.21425445532,0.0218764637409,0.498023993248,6,2
0,9,0,4953,0.391709856224,0.2550647058,0.195391602942,0.132458566181,0.0177741860419,0.00760108281176,1,2
0,9,0,5516,0.0362205198287,0.0458470562035,0.00945451016375,0.0403278115449,0.0165214876209,0.851628614638,6,2
0,9,0,4500,0.45784712466,0.156587083332,0.227044386803,0.118322426914,0.0359839124801,0.00421506581127,1,2
0,9,0,5956,0.159188554692,0.353130401428,0.109631770256,0.153074477509,0.0691744497411,0.155800346374,2,2
0,9,0,5449,0.302169786793,0.355691026265,0.146312225845,0.138376217493,0.041340729967,0.0161100136365,2,2
0,9,0,3668,0.0919174640922,0.322089916168,0.0688288280514,0.142959164713,0.076978271993,0.297226354983,2,2
0,9,0,800,0.122389429139,0.172105005993,0.528987668235,0.0740451462171,0.020020321472,0.0824524289441,3,2
% 
% 
%