% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 10:32:49 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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0,9,0,4111,0.167081135036,0.166629405953,0.166959060924,0.1663513756,0.166056053834,0.166922968653,1,1
0,9,0,1730,0.16680899637,0.166840520976,0.166141272967,0.166920371303,0.165971135645,0.16731770274,6,1
0,9,0,790,0.16699704029,0.166774243822,0.167175670604,0.166525623796,0.165702452547,0.166824968941,3,1
0,9,0,2101,0.167395524608,0.164370767617,0.164543899583,0.168455738309,0.167521346472,0.167712723411,4,1
0,9,0,4797,0.168599778358,0.165734970319,0.164895273956,0.16804628389,0.165109066508,0.167614626969,1,1
0,9,0,5248,0.166890413025,0.166674319358,0.166605706876,0.16612537267,0.16645852632,0.167245661751,6,2
0,9,0,4902,0.167603068795,0.16691640063,0.167013951193,0.166770075872,0.165944791848,0.165751711661,1,2
0,9,0,3670,0.167143779252,0.166514614857,0.166566493316,0.166443963653,0.166345627519,0.166985521402,6,2
0,9,0,4827,0.166889500886,0.166578123726,0.167469104783,0.166476026688,0.165732034844,0.166855209073,3,2
0,9,0,934,0.167028270344,0.166834373667,0.166759613542,0.166379371663,0.16544231937,0.167556051413,6,2
0,9,0,4096,0.167526651091,0.166752943181,0.166373741942,0.166757899873,0.165727057524,0.166861706388,6,2
0,9,0,2543,0.166864363582,0.166352106617,0.166675586228,0.166477372259,0.166722960516,0.166907610797,1,2
0,9,0,1668,0.167018077946,0.166501810814,0.166614696602,0.166527311934,0.166314783424,0.16702331928,6,2
0,9,0,3212,0.16704321787,0.166388450073,0.166505567099,0.166552155199,0.166402757288,0.167107852471,6,2
0,9,0,1095,0.167195542959,0.166413976471,0.166747572335,0.166363828798,0.166034005792,0.167245073645,6,2
0,9,0,120,0.16698366261,0.166475190072,0.166831101275,0.166322468348,0.166342793934,0.167044783762,6,2
0,9,0,644,0.166962373304,0.166573830409,0.166763973649,0.166028929655,0.166709616088,0.166961276895,6,2
0,9,0,224,0.167181528671,0.166525780722,0.166813472932,0.166286274277,0.165872574792,0.167320368606,6,2
0,9,0,3509,0.166679882095,0.166526138639,0.166137054258,0.166528744849,0.165885288831,0.168242891328,6,2
0,9,0,4831,0.166860120918,0.166316541483,0.166691948361,0.166439211143,0.166424270853,0.167267907244,6,2
0,9,0,5186,0.167087269038,0.1666294378,0.16719219275,0.166390174108,0.165750241657,0.166950684647,3,2
0,9,0,5518,0.167722167013,0.167323187583,0.16792026602,0.16612174307,0.165390580084,0.16552205623,3,2
0,9,0,3784,0.168821787415,0.165554893321,0.164939470332,0.168380163953,0.165217684457,0.167086000523,1,2
0,9,0,5023,0.166930527506,0.166344117381,0.166843823501,0.166431156713,0.166156175704,0.167294199195,6,2
0,9,0,4317,0.167103702093,0.166803498416,0.166932869243,0.166664969442,0.165771779789,0.166723181016,3,2
0,9,0,1268,0.16722302244,0.166477214607,0.166296514889,0.166740581779,0.166190137654,0.167072528631,6,2
0,9,0,5257,0.167026042168,0.166842516667,0.166759064212,0.166381305457,0.165433324085,0.167557747411,6,2
0,9,0,5775,0.166911054812,0.166865043206,0.166693769553,0.166301316313,0.166225770439,0.167003045678,6,2
0,9,0,3976,0.166833156592,0.166394189233,0.166596694688,0.166643033141,0.166749986009,0.166782940337,5,2
0,9,0,674,0.166946973227,0.166573675906,0.167052020783,0.16621787793,0.165959338302,0.167250113851,6,2
0,9,0,5339,0.166823290603,0.166865564707,0.166513102285,0.166367521264,0.166166430608,0.167264090533,6,2
0,9,0,1756,0.166666081131,0.166390489561,0.166319720428,0.16729645875,0.165847362549,0.167479887581,6,2
0,9,0,3069,0.167007934231,0.166251630113,0.16664752896,0.166364708613,0.16648378415,0.167244413934,6,2
0,9,0,4123,0.167046872699,0.166956169658,0.167062344044,0.166691521814,0.165614049035,0.166629042749,3,2
0,9,0,802,0.167019270374,0.166835148471,0.167127980378,0.166570556752,0.165656025163,0.166791018863,2,2
0,9,0,3650,0.166666081131,0.166390489561,0.166319720428,0.16729645875,0.165847362549,0.167479887581,6,2
0,9,0,5888,0.166760333575,0.166409718402,0.166523463125,0.166256291843,0.16631972965,0.167730463404,6,2
0,9,0,4701,0.166854291488,0.166625267589,0.166758649708,0.1663653021,0.165983113423,0.167413375692,6,2
0,9,0,4075,0.166771943422,0.166358177788,0.165982019667,0.166468939045,0.165841742776,0.168577177302,6,2
0,9,0,3401,0.167221921904,0.165285541577,0.16723512443,0.166226265059,0.165793951609,0.168237195422,6,2
0,9,0,3803,0.166980963981,0.166401718834,0.166283074875,0.166574712049,0.166265901517,0.167493628743,6,2
0,9,0,2594,0.166899806282,0.166101247653,0.166676594632,0.166469241766,0.166780917009,0.167072192659,6,2
0,9,0,1435,0.166500138592,0.165895310207,0.165933874451,0.166667027808,0.165652780553,0.16935086839,6,2
0,9,0,1682,0.166626835498,0.16651726018,0.166422518606,0.167184200261,0.165784439985,0.167464745471,6,2
0,9,0,5175,0.166659707873,0.166931422554,0.166315587373,0.166763689436,0.166046830921,0.167282761843,6,2
0,9,0,1768,0.166671500207,0.166407692738,0.166393436968,0.167233827349,0.165778901084,0.167514641653,6,2
0,9,0,4953,0.167582533914,0.167043713592,0.166993727688,0.166832675171,0.165887739452,0.165659610183,1,2
0,9,0,5516,0.166718253714,0.166443340199,0.166048960076,0.166554803276,0.165920965802,0.168313676934,6,2
0,9,0,4500,0.167581356953,0.166976379836,0.166960958511,0.166826826603,0.165979073216,0.165675404882,1,2
0,9,0,5956,0.166979473443,0.166742281825,0.166656026324,0.166351815269,0.166270828694,0.166999574445,6,2
0,9,0,5449,0.167449527731,0.166914852851,0.166992122254,0.166816516098,0.166026918749,0.165800062317,1,2
0,9,0,3668,0.166649462219,0.166925021993,0.166309978696,0.166744825271,0.166029274869,0.167341436952,6,2
0,9,0,800,0.167001397561,0.166665268795,0.16741815042,0.166475559287,0.165620995854,0.166818628083,3,2
% 
% 
%