% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 22:49:58 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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0,9,0,4797,0.169623028221,0.166111723404,0.163450096576,0.168089286897,0.163350981973,0.169374882928,6,1
0,9,0,5248,0.166103231192,0.170313653951,0.166311574983,0.165122945585,0.16558025491,0.166568339379,2,2
0,9,0,4902,0.168450356202,0.167409123371,0.1675900695,0.167179471087,0.165550508132,0.163820471709,1,2
0,9,0,3670,0.167621083432,0.166975603453,0.166525691122,0.16615336336,0.165924858866,0.166799399767,6,2
0,9,0,4827,0.167282266963,0.166994417961,0.168328876939,0.166232216286,0.164590088633,0.166572133217,3,2
0,9,0,934,0.168729323938,0.168659071726,0.167048975472,0.165186817975,0.163847210702,0.166528600187,2,2
0,9,0,4096,0.166880159386,0.165994240475,0.165601260928,0.166089644348,0.165470473183,0.16996422168,6,2
0,9,0,2543,0.167242810706,0.165717488238,0.166952528955,0.166370577231,0.167071467615,0.166645127255,5,2
0,9,0,1668,0.167339259154,0.167204210017,0.166350583124,0.166297988013,0.165770172935,0.167037786756,1,2
0,9,0,3212,0.167234704966,0.165719816463,0.166310774652,0.166634535092,0.166423995052,0.167676173774,6,2
0,9,0,1095,0.168394219789,0.166650299739,0.16657590386,0.166660281481,0.164227033549,0.167492261581,1,2
0,9,0,120,0.167064961507,0.166727034679,0.166655537846,0.165828145935,0.16642086887,0.167303451164,6,2
0,9,0,644,0.16607453398,0.167943134256,0.166413561574,0.164780321451,0.166224348428,0.168564100311,6,2
0,9,0,224,0.16780885888,0.166654944876,0.167518947093,0.165730270128,0.164709906342,0.167577072681,6,2
0,9,0,3509,0.16621446581,0.167491133974,0.166927564382,0.16595733717,0.165170270939,0.168239227726,6,2
0,9,0,4831,0.166770395617,0.165950233453,0.167379879931,0.166280907375,0.166443438039,0.167175145584,6,2
0,9,0,5186,0.167388493062,0.166820556351,0.167976379096,0.165678641547,0.164850955248,0.167284974694,3,2
0,9,0,5518,0.167349578848,0.16886197461,0.169363975806,0.165012697066,0.165688243497,0.163723530173,2,2
0,9,0,3784,0.172036326293,0.164379771383,0.163590671605,0.170529890742,0.163398704918,0.166064635058,1,2
0,9,0,5023,0.167245128937,0.166054800703,0.166077922474,0.165562380253,0.165387467346,0.169672300288,6,2
0,9,0,4317,0.167177121915,0.167774163846,0.167358258776,0.167345772577,0.164473322276,0.165871360611,2,2
0,9,0,1268,0.167527370052,0.166282894012,0.166373531413,0.166701908903,0.166294086341,0.166820209279,6,2
0,9,0,5257,0.167763507006,0.169819528014,0.16704749355,0.165185352572,0.163845757183,0.166338361674,2,2
0,9,0,5775,0.166781496645,0.168215536561,0.166615620656,0.166022401599,0.165651066527,0.166713878013,2,2
0,9,0,3976,0.16703094717,0.166409827852,0.166889241795,0.166532779946,0.1668479423,0.166289260937,5,2
0,9,0,674,0.167226489398,0.167806161002,0.167690535132,0.166255007339,0.164357893282,0.166663913847,3,2
0,9,0,5339,0.166669034204,0.168662390112,0.166428350109,0.166364563524,0.165399002495,0.166476659556,2,2
0,9,0,1756,0.166781363782,0.166791695072,0.165395733246,0.168112440698,0.16443680777,0.168481959432,6,2
0,9,0,3069,0.167449327915,0.165492858315,0.166735506222,0.166148185553,0.166620512142,0.167553609854,6,2
0,9,0,4123,0.167137595401,0.167816016658,0.167861010125,0.167219215161,0.164291896808,0.165674265847,2,2
0,9,0,802,0.167234884332,0.168104850687,0.16778892171,0.166404955703,0.164429581383,0.166036806185,2,2
0,9,0,3650,0.166713258965,0.167364977149,0.16531825608,0.167918111055,0.164436161537,0.168249235213,6,2
0,9,0,5888,0.167017660733,0.166527602057,0.165769370055,0.166131143122,0.165672304036,0.168881919997,6,2
0,9,0,4701,0.167291252021,0.167283828808,0.16729469073,0.166158482776,0.164522067554,0.167449678112,6,2
0,9,0,4075,0.166053693777,0.166321497466,0.164541992766,0.167964383886,0.164705436551,0.170412995554,6,2
0,9,0,3401,0.167033268589,0.165245209539,0.167206941423,0.166615872207,0.165477830165,0.168420878077,6,2
0,9,0,3803,0.168077943681,0.166284576684,0.165839178938,0.166510307074,0.165658615794,0.167629377829,6,2
0,9,0,2594,0.167128966125,0.165680149265,0.166738761954,0.166443013724,0.167481854014,0.166527254917,5,2
0,9,0,1435,0.165961947425,0.164116145054,0.166329223216,0.167736849394,0.164501551811,0.1713542831,6,2
0,9,0,1682,0.166127917809,0.167575991994,0.165279559004,0.168400982198,0.164458587235,0.168156961759,6,2
0,9,0,5175,0.16604133872,0.169534287367,0.165267703535,0.166716512798,0.165697984038,0.166742173543,2,2
0,9,0,1768,0.166010907537,0.166054529709,0.166642012153,0.168289575207,0.164394798958,0.168608176436,6,2
0,9,0,4953,0.16853846224,0.167487496278,0.167611189316,0.167156001,0.165401449164,0.163805402002,1,2
0,9,0,5516,0.167327917838,0.166324311839,0.164957876944,0.167085512158,0.165031357452,0.169273023768,6,2
0,9,0,4500,0.168497031571,0.167391718124,0.167459389676,0.167144787287,0.1657862427,0.163720830642,1,2
0,9,0,5956,0.167303032253,0.167372634795,0.166346201436,0.166529945588,0.165803405303,0.166644780624,1,2
0,9,0,5449,0.16835698668,0.167849228257,0.167306736465,0.166900443077,0.165779767892,0.163806837629,1,2
0,9,0,3668,0.166100482419,0.169473554349,0.165232738777,0.166696174088,0.165683773746,0.166813276622,6,2
0,9,0,800,0.167355162509,0.167240580606,0.168286683075,0.16669521115,0.164197414912,0.166224947747,3,2
% 
% 
%