% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 23:47:43 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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0,9,0,790,0.166795715041,0.166617906505,0.166960119153,0.166556231871,0.165976025389,0.16709400204,3,1
0,9,0,2101,0.166452598377,0.165544562355,0.165670549145,0.167547573536,0.167381760205,0.167402956382,4,1
0,9,0,4797,0.167092956387,0.165927359164,0.165937092992,0.167754920092,0.166259261028,0.167028410338,1,1
0,9,0,5248,0.166979053382,0.166520655185,0.166693072553,0.166368668807,0.16634187061,0.167096679463,6,2
0,9,0,4902,0.16703255953,0.166657276719,0.166771107014,0.166896227974,0.166427789963,0.166215038799,1,2
0,9,0,3670,0.167097578592,0.166498607121,0.166613255224,0.166474923232,0.166323219823,0.166992416008,6,2
0,9,0,4827,0.166767438451,0.166588817694,0.167049866674,0.166499139879,0.165949954501,0.167144782801,3,2
0,9,0,934,0.166639615079,0.166924890405,0.166604693164,0.166666801402,0.165876024589,0.167287975362,3,2
0,9,0,4096,0.166849489025,0.166379446292,0.166445499858,0.16695032383,0.166675180754,0.166700060241,1,2
0,9,0,2543,0.166900583445,0.166203612931,0.166824408735,0.166458788649,0.166663093232,0.166949513008,6,2
0,9,0,1668,0.166732577407,0.166684978338,0.166793498792,0.166457604695,0.166295064477,0.167036276291,6,2
0,9,0,3212,0.166982455781,0.166416808146,0.166690825441,0.166528553025,0.166425719884,0.166955637723,6,2
0,9,0,1095,0.166805077126,0.166432263528,0.166890040061,0.166401504269,0.166160520179,0.167310594838,6,2
0,9,0,120,0.16673193566,0.166620721875,0.166935129486,0.166409029052,0.166389303187,0.166913880739,3,2
0,9,0,644,0.166814827672,0.166624553049,0.166783607214,0.166277497962,0.166543771219,0.166955742884,6,2
0,9,0,224,0.166869677048,0.166451813311,0.166779017762,0.166563891096,0.166156104583,0.1671794962,6,2
0,9,0,3509,0.166477580362,0.166606938618,0.166129857149,0.16654833882,0.166086972424,0.168150312628,6,2
0,9,0,4831,0.166811741544,0.166264503058,0.166756785394,0.166578015557,0.166532325828,0.16705662862,6,2
0,9,0,5186,0.166569423613,0.166694515702,0.16666850472,0.166809130745,0.166467004066,0.166791421154,3,2
0,9,0,5518,0.167061631189,0.166667845378,0.167580208061,0.166215843781,0.166220882683,0.166253588908,3,2
0,9,0,3784,0.167151807087,0.165963534568,0.165932294249,0.167846785259,0.16628897829,0.166816600546,1,2
0,9,0,5023,0.166881057328,0.166329752101,0.166957872956,0.16658769081,0.166230765072,0.167012861732,6,2
0,9,0,4317,0.166854360483,0.166766205509,0.166749840473,0.166649618472,0.166050877294,0.166929097769,3,2
0,9,0,1268,0.166814715253,0.166669413358,0.16635264615,0.166941260266,0.166633969159,0.166587995814,6,2
0,9,0,5257,0.166639615079,0.166924890405,0.166604693164,0.166666801402,0.165876024589,0.167287975362,3,2
0,9,0,5775,0.166576662578,0.166761251113,0.166839674572,0.166422442597,0.1663896087,0.167010360439,6,2
0,9,0,3976,0.166649408201,0.166410111597,0.166541489111,0.166792837512,0.166824162234,0.166781991345,1,2
0,9,0,674,0.166819880385,0.166407621435,0.16699100402,0.166441375644,0.166020470296,0.167319648219,6,2
0,9,0,5339,0.166789498317,0.166935611996,0.166677636204,0.166530211445,0.166182144829,0.16688489721,2,2
0,9,0,1756,0.166361454271,0.166946536731,0.165905485997,0.16709362734,0.165997957495,0.167694938168,6,2
0,9,0,3069,0.166830503393,0.166412711284,0.166710287484,0.166491183198,0.166541144354,0.167014170286,1,2
0,9,0,4123,0.166832593296,0.166787254972,0.166728984984,0.16668174963,0.16602421289,0.166945204228,3,2
0,9,0,802,0.166809973117,0.166633018506,0.166925754979,0.166599165591,0.165955539134,0.167076548673,3,2
0,9,0,3650,0.166452417084,0.166595877141,0.166038419901,0.167136223847,0.16603017325,0.167746888778,6,2
0,9,0,5888,0.166628512349,0.166642392072,0.16642023596,0.166619969142,0.166369950088,0.16731894039,6,2
0,9,0,4701,0.166652191455,0.166598128759,0.166833454459,0.166476484684,0.16608220763,0.167357533013,6,2
0,9,0,4075,0.166467231889,0.166657903754,0.166061326733,0.166523451601,0.166011287675,0.168278798347,6,2
0,9,0,3401,0.167241118207,0.166100659356,0.166953239495,0.166370423263,0.165959946329,0.167374613351,1,2
0,9,0,3803,0.166896075949,0.166479755911,0.166544444846,0.166547210291,0.16635754733,0.167174965673,6,2
0,9,0,2594,0.166667160473,0.166174937826,0.166756035303,0.166524165935,0.166762950294,0.167114750169,6,2
0,9,0,1435,0.16637136265,0.166220976498,0.165983603656,0.166733564634,0.16612631343,0.168564179133,6,2
0,9,0,1682,0.16633775479,0.167021905614,0.166017644811,0.166986639951,0.166030712856,0.167605341979,6,2
0,9,0,5175,0.166494650939,0.166967424641,0.166260009373,0.166771215696,0.166156398505,0.167350300846,6,2
0,9,0,1768,0.166461218994,0.166466713958,0.166099991214,0.167120936918,0.166086649701,0.167764489215,6,2
0,9,0,4953,0.167019099246,0.166702225263,0.166726899553,0.166901806365,0.16646149395,0.166188475624,1,2
0,9,0,5516,0.166487797558,0.166539452927,0.166110625055,0.166547961829,0.166067615534,0.168246547098,6,2
0,9,0,4500,0.167033953524,0.1667009473,0.166751830462,0.166922894022,0.166422797212,0.166167577481,1,2
0,9,0,5956,0.166810781112,0.166685033508,0.166727728787,0.166556162675,0.16627419126,0.166946102658,6,2
0,9,0,5449,0.167016394281,0.166622458709,0.166688233422,0.166939003271,0.166488857068,0.166245053249,1,2
0,9,0,3668,0.166436601852,0.166831035947,0.166138351006,0.166820724391,0.16615343494,0.167619851864,6,2
0,9,0,800,0.166782547039,0.166604083397,0.167002767293,0.166492972319,0.165907764016,0.167209865935,3,2
% 
% 
%