% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 23:04:27 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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0,9,0,790,0.17728688987,0.175117970533,0.179926491721,0.161036597364,0.125933418466,0.180698632046,6,1
0,9,0,2101,0.172886257273,0.125098716709,0.131369800943,0.200613877193,0.183687944101,0.186343403782,4,1
0,9,0,4797,0.2184384849,0.151547867358,0.103242214903,0.199536857621,0.127140179528,0.20009439569,1,1
0,9,0,5248,0.171696852948,0.173620419951,0.165987665652,0.144354183936,0.159136890741,0.185203986773,6,2
0,9,0,4902,0.199925529052,0.177192486364,0.17563857797,0.168082500505,0.15573278006,0.123428126049,1,2
0,9,0,3670,0.179663694966,0.163836298401,0.163846055994,0.153598406589,0.160609281267,0.178446262783,1,2
0,9,0,4827,0.161643125433,0.157293149095,0.199846596059,0.148356120508,0.138016519868,0.194844489037,3,2
0,9,0,934,0.176851320734,0.186371626337,0.181616122702,0.143859424002,0.124474829914,0.18682667631,6,2
0,9,0,4096,0.2003424713,0.157120484212,0.159110783199,0.0964629226245,0.152852136662,0.234111202002,6,2
0,9,0,2543,0.174912650553,0.156689784435,0.165035881858,0.155758145871,0.177162814535,0.170440722748,5,2
0,9,0,1668,0.172662052089,0.16396458756,0.164669299784,0.155922055383,0.153867222372,0.188914782812,6,2
0,9,0,3212,0.177089434161,0.160156003454,0.160225728058,0.158565342639,0.162003057492,0.181960434196,6,2
0,9,0,1095,0.173788234889,0.162712426111,0.172034644059,0.154286438602,0.150702732705,0.186475523634,6,2
0,9,0,120,0.1704961225,0.160537395167,0.17239225583,0.15152491133,0.155744509836,0.189304805337,6,2
0,9,0,644,0.172911856891,0.168595278141,0.166008634302,0.142611232318,0.167614063052,0.182258935295,6,2
0,9,0,224,0.192188174377,0.179412756451,0.182426878297,0.12249223865,0.130713480473,0.192766471752,6,2
0,9,0,3509,0.166230141883,0.162449315952,0.150768141072,0.158785074279,0.143617682382,0.218149644432,6,2
0,9,0,4831,0.169844911133,0.156292282419,0.167002475176,0.159345090869,0.160234764627,0.187280475777,6,2
0,9,0,5186,0.183409155011,0.180075809814,0.185494307246,0.125878457557,0.135536865393,0.189605404979,6,2
0,9,0,5518,0.192822202347,0.186684152303,0.202907110149,0.13370903277,0.135127546819,0.148749955613,3,2
0,9,0,3784,0.217781022903,0.15341719807,0.103814597052,0.200856314592,0.127127973459,0.197002893925,1,2
0,9,0,5023,0.169530757012,0.158807252411,0.165468270647,0.148723823521,0.152682752585,0.204787143824,6,2
0,9,0,4317,0.176891641748,0.169671471258,0.173775250765,0.161384345111,0.146431814355,0.171845476763,1,2
0,9,0,1268,0.175987418706,0.16219431821,0.159740892199,0.159591131552,0.160113162476,0.182373076857,6,2
0,9,0,5257,0.176851320734,0.186371626337,0.181616122702,0.143859424002,0.124474829914,0.18682667631,6,2
0,9,0,5775,0.173018264522,0.183333816145,0.150457998583,0.136702743157,0.16279682938,0.193690348212,6,2
0,9,0,3976,0.174242668354,0.160113814275,0.162338847428,0.157632746598,0.175778972991,0.169892950354,5,2
0,9,0,674,0.176571504278,0.172554768116,0.186611874197,0.156780222218,0.110127191796,0.197354439395,6,2
0,9,0,5339,0.173517488368,0.18723996651,0.144772582396,0.13977855782,0.15693017696,0.197761227946,6,2
0,9,0,1756,0.168595868236,0.164726821888,0.118497177315,0.181522155,0.141652679718,0.225005297843,6,2
0,9,0,3069,0.174321195714,0.156728838666,0.162400198606,0.15416567281,0.161529702387,0.190854391816,6,2
0,9,0,4123,0.178005924406,0.175554698162,0.181590561828,0.166000042624,0.128973756755,0.169875016224,3,2
0,9,0,802,0.17749845714,0.181516886035,0.180738080965,0.1625397789,0.125130970441,0.172575826519,2,2
0,9,0,3650,0.163175438525,0.152994645909,0.156715053524,0.174847076155,0.135200729846,0.217067056041,6,2
0,9,0,5888,0.17004046938,0.161376460727,0.164518599032,0.149140466587,0.155424085101,0.199499919174,6,2
0,9,0,4701,0.169785553262,0.170213401535,0.172765009019,0.154974141362,0.147286854766,0.184975040057,6,2
0,9,0,4075,0.174264779794,0.158708116156,0.147530939987,0.164141836895,0.125251956233,0.230102370935,6,2
0,9,0,3401,0.212006286124,0.100642656452,0.181120835757,0.142306597227,0.128732619893,0.235191004548,6,2
0,9,0,3803,0.175722755144,0.161956972013,0.150694156902,0.161141796062,0.153234822524,0.197249497355,6,2
0,9,0,2594,0.174565758332,0.145277994368,0.165431342493,0.156560911564,0.178565267231,0.179598726012,6,2
0,9,0,1435,0.164702040783,0.147073654091,0.149277509965,0.168319106817,0.137375856545,0.2332518318,6,2
0,9,0,1682,0.167048510291,0.169756593041,0.122570810094,0.179910481128,0.139304177767,0.22140942768,6,2
0,9,0,5175,0.163646636315,0.168584439714,0.155052024488,0.159632491893,0.151308875799,0.20177553179,6,2
0,9,0,1768,0.163172792807,0.152484664541,0.156181445815,0.17530317049,0.135708698964,0.217149227384,6,2
0,9,0,4953,0.199803236144,0.183192915718,0.175176336495,0.168601373566,0.153074894681,0.120151243397,1,2
0,9,0,5516,0.166140994488,0.159340809765,0.146928471644,0.161172250521,0.144524480517,0.221892993064,6,2
0,9,0,4500,0.200229741978,0.182562761267,0.174895503172,0.16895352939,0.153241605021,0.120116859172,1,2
0,9,0,5956,0.17570036923,0.181609774465,0.146374942719,0.139642457497,0.160368772542,0.196303683547,6,2
0,9,0,5449,0.1968532715,0.176280815266,0.173052602635,0.168230588391,0.158250826744,0.127331895465,1,2
0,9,0,3668,0.162276631432,0.166508650192,0.155512102368,0.160817833973,0.151563234309,0.203321547725,6,2
0,9,0,800,0.184045980212,0.174882758677,0.190741011478,0.144085593342,0.111564730022,0.194679926269,6,2
% 
% 
%