% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 09:19:28 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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0,9,0,5625,0.165405665846,0.164883085319,0.165002447986,0.170877618011,0.163088635961,0.170742546878,6,1
0,9,0,5538,0.16759411074,0.165970286154,0.167276311304,0.165443538185,0.166581189171,0.167134564447,1,1
0,9,0,4322,0.167931412979,0.165748810308,0.165927348794,0.165566792796,0.164639477514,0.170186157609,6,1
0,9,0,4111,0.167939372004,0.166794970369,0.167065646056,0.165930197944,0.164849111284,0.167420702343,1,1
0,9,0,1730,0.169518001796,0.16930160156,0.164517581145,0.165691266243,0.165463640933,0.165507908323,1,1
0,9,0,790,0.167140023192,0.167250494484,0.168341352189,0.166375806074,0.164575379821,0.16631694424,3,1
0,9,0,2101,0.169491367551,0.161497916477,0.161454113901,0.171285181522,0.168819312811,0.167452107737,4,1
0,9,0,4797,0.170744693649,0.165175864913,0.162321357256,0.16922131719,0.162721857244,0.169814909748,1,1
0,9,0,5248,0.166374994633,0.168363235427,0.166508952606,0.165186066065,0.165915950064,0.167650801205,2,2
0,9,0,4902,0.16880223231,0.167928315238,0.167860463415,0.167604083494,0.164794338964,0.163010566579,1,2
0,9,0,3670,0.167401988247,0.167748319072,0.165993139884,0.165639073975,0.165782175819,0.167435303004,6,2
0,9,0,4827,0.166999370434,0.166729219265,0.168856410865,0.166358861583,0.164605401727,0.166450736125,3,2
0,9,0,934,0.1693210087,0.168502250825,0.166744974939,0.164970280935,0.163549957703,0.166911526899,2,2
0,9,0,4096,0.167326420279,0.165941888346,0.16485946738,0.166940874918,0.164768831116,0.170162517961,6,2
0,9,0,2543,0.167305611124,0.165839202113,0.167366799725,0.165650933607,0.16744250267,0.16639495076,5,2
0,9,0,1668,0.167441753728,0.167464253564,0.166306943335,0.16617377342,0.165854679192,0.16675859676,2,2
0,9,0,3212,0.167510793012,0.165717302625,0.166026647837,0.166592342584,0.166173467333,0.167979446608,6,2
0,9,0,1095,0.168886948583,0.16599012336,0.165948684339,0.165860977057,0.164711257712,0.168602008947,6,2
0,9,0,120,0.167076581292,0.166510444664,0.166985120323,0.165514016087,0.166236381948,0.167677455686,6,2
0,9,0,644,0.166601417961,0.166761893612,0.167408954459,0.165146634586,0.166924076031,0.167157023351,6,2
0,9,0,224,0.168292384803,0.166497823406,0.166848418885,0.165561766165,0.164451101752,0.168348504989,6,2
0,9,0,3509,0.165849153962,0.167828615615,0.167074625053,0.165710346277,0.164652491017,0.168884768076,6,2
0,9,0,4831,0.166619576912,0.166201593758,0.167740423873,0.16613472456,0.165904050316,0.167399630582,3,2
0,9,0,5186,0.167049959854,0.166876006767,0.168382428687,0.165942871201,0.16468285302,0.167065880471,3,2
0,9,0,5518,0.167335005864,0.170525225356,0.169436713889,0.164241943178,0.1653723261,0.163088785614,2,2
0,9,0,3784,0.174295758453,0.163137880667,0.162504446884,0.17250482895,0.162529132281,0.165027952765,1,2
0,9,0,5023,0.166632447184,0.165261112734,0.165003628525,0.164834301916,0.164695308203,0.173573201438,6,2
0,9,0,4317,0.166780957609,0.16944017763,0.167483685233,0.166767362599,0.16391367127,0.16561414566,2,2
0,9,0,1268,0.168011056926,0.166005346196,0.165821578298,0.166714434116,0.166143364819,0.167304219646,6,2
0,9,0,5257,0.167266639474,0.171216857977,0.166634255116,0.164915750611,0.163524863936,0.166441632886,2,2
0,9,0,5775,0.166912877903,0.168069280837,0.166532601823,0.165991779592,0.16559679887,0.166896660975,2,2
0,9,0,3976,0.167274348304,0.166313915633,0.16697931543,0.166430747566,0.166989781261,0.166011891805,1,2
0,9,0,674,0.167267607244,0.168298611125,0.167228661716,0.165757021299,0.164815231528,0.166632867087,3,2
0,9,0,5339,0.166758567112,0.168591204922,0.165912744903,0.166412242092,0.165049926873,0.167275314098,2,2
0,9,0,1756,0.166531084947,0.165458987468,0.164487908912,0.169039630061,0.163141479083,0.171340909529,6,2
0,9,0,3069,0.167357435056,0.165352132755,0.166365389795,0.166406369031,0.166599650965,0.167919022398,6,2
0,9,0,4123,0.166714602076,0.168563143016,0.168245060025,0.166994051288,0.163922368483,0.165560775112,2,2
0,9,0,802,0.166879839232,0.168261458036,0.167892922197,0.166196884111,0.164515746849,0.166253149574,3,2
0,9,0,3650,0.165748271471,0.165940359923,0.164405381946,0.169433579053,0.163189732255,0.171282675354,6,2
0,9,0,5888,0.167225402022,0.166545969757,0.165311251891,0.165439682294,0.16537688426,0.170100809775,6,2
0,9,0,4701,0.166697600605,0.167282621282,0.167045593493,0.166025142725,0.1648698083,0.168079233595,6,2
0,9,0,4075,0.16548586489,0.166216759867,0.164048423603,0.167973219369,0.165335971215,0.170939761056,6,2
0,9,0,3401,0.166196288493,0.165244519329,0.166300198028,0.169453898774,0.164751960693,0.168053134683,4,2
0,9,0,3803,0.168360071338,0.166450056097,0.16507871938,0.166184061509,0.165245155526,0.16868193615,6,2
0,9,0,2594,0.167430221385,0.165759499195,0.167171387071,0.165808592908,0.16711652155,0.166713777891,5,2
0,9,0,1435,0.165234741945,0.162467776428,0.164499023483,0.170539949946,0.163193977215,0.174064530984,6,2
0,9,0,1682,0.164869137315,0.170467710931,0.164146202171,0.168549571016,0.162985879916,0.168981498651,6,2
0,9,0,5175,0.166118609289,0.170545867906,0.16466621852,0.166383018675,0.164409050921,0.167877234689,2,2
0,9,0,1768,0.164787201863,0.165677028986,0.168755848194,0.168302488913,0.163343713726,0.169133718318,6,2
0,9,0,4953,0.168844227902,0.168277318917,0.167665779067,0.167409153586,0.164841926268,0.16296159426,1,2
0,9,0,5516,0.166857974429,0.166580229555,0.164215670405,0.167021647705,0.164390047548,0.170934430358,6,2
0,9,0,4500,0.168919745527,0.168057993652,0.167874017544,0.16717143515,0.165109771358,0.162867036769,1,2
0,9,0,5956,0.167356752487,0.167320588298,0.166404764861,0.166565639045,0.165734721115,0.166617534194,2,2
0,9,0,5449,0.16860446762,0.168776767392,0.167522513873,0.16718993297,0.164898026557,0.163008291588,1,2
0,9,0,3668,0.166101313535,0.170826239687,0.164656710837,0.16618578817,0.164569515046,0.167660432724,2,2
0,9,0,800,0.167110947168,0.167352948777,0.168459541935,0.166485692775,0.164382326503,0.166208542841,3,2
% 
% 
%