% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 17:41:24 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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0,9,0,1668,0.167422154118,0.166087163266,0.167390348349,0.165257469617,0.165335016038,0.168507848613,6,2
0,9,0,3212,0.167543724669,0.165721551327,0.166489703746,0.166100023269,0.166402420736,0.167742576252,6,2
0,9,0,1095,0.167601681164,0.16626915397,0.16729031049,0.165376053426,0.165215956035,0.168246844914,6,2
0,9,0,120,0.167435510332,0.165969351188,0.167404914528,0.165285739655,0.165375389161,0.168529095137,6,2
0,9,0,644,0.167453399078,0.165809403055,0.167273242573,0.165321676322,0.165619528922,0.168522750049,6,2
0,9,0,224,0.167489653519,0.166352667537,0.16735030388,0.165304209865,0.165197669623,0.168305495576,6,2
0,9,0,3509,0.166009002625,0.165293510782,0.165051430046,0.165356768584,0.164602708456,0.173686579508,6,2
0,9,0,4831,0.167369200302,0.165761519824,0.167061498235,0.165526008716,0.165787732579,0.168494040344,6,2
0,9,0,5186,0.167307180583,0.166362688897,0.167267067588,0.165529402961,0.165279575795,0.168254084177,6,2
0,9,0,5518,0.167952542911,0.166459344874,0.168430046604,0.165041835896,0.164778985308,0.167337244408,3,2
0,9,0,3784,0.169708118792,0.163619265916,0.164459910993,0.169246807462,0.165401830952,0.167564065887,1,2
0,9,0,5023,0.167391212773,0.165988270735,0.167166173935,0.165322229043,0.165395670373,0.16873644314,6,2
0,9,0,4317,0.167737996622,0.166697937337,0.167895543904,0.165234170069,0.164821144936,0.167613207132,6,2
0,9,0,1268,0.167623033219,0.165695938069,0.16653467136,0.166011780078,0.16617328127,0.167961296004,1,2
0,9,0,5257,0.167394562903,0.166526305214,0.167356126222,0.165245573089,0.164847995008,0.168629437565,6,2
0,9,0,5775,0.167390634288,0.166165371249,0.167416568438,0.165231594499,0.165298773705,0.168497057821,6,2
0,9,0,3976,0.167460104444,0.165655031535,0.166346927843,0.16628037495,0.166840480973,0.167417080255,1,2
0,9,0,674,0.167578325544,0.166287751078,0.167828051861,0.165058202949,0.164936987922,0.168310680647,6,2
0,9,0,5339,0.167394930995,0.166200006702,0.167421527356,0.165182240286,0.165268222308,0.168533072353,6,2
0,9,0,1756,0.166448015752,0.166440000936,0.165153946789,0.167290758121,0.164804596259,0.169862682143,6,2
0,9,0,3069,0.167454412349,0.165923430022,0.167292188867,0.165367388954,0.165638856751,0.168323723058,6,2
0,9,0,4123,0.16747071506,0.166532705992,0.167619665724,0.165227946995,0.165002652408,0.168146313822,6,2
0,9,0,802,0.167442150207,0.166605583154,0.167673509257,0.165186931721,0.164997587902,0.168094237758,6,2
0,9,0,3650,0.166448015752,0.166440000936,0.165153946789,0.167290758121,0.164804596259,0.169862682143,6,2
0,9,0,5888,0.167217004205,0.165747921417,0.166660115506,0.16565661284,0.165799168111,0.16891917792,6,2
0,9,0,4701,0.167405243208,0.16645475769,0.167608322787,0.165103799334,0.16500565713,0.168422219851,6,2
0,9,0,4075,0.166009002625,0.165293510782,0.165051430046,0.165356768584,0.164602708456,0.173686579508,6,2
0,9,0,3401,0.167480600481,0.165609890171,0.167070184504,0.165529423025,0.165466553633,0.168843348185,6,2
0,9,0,3803,0.16728220232,0.165820529614,0.166641629937,0.165767945672,0.165739174661,0.168748517796,6,2
0,9,0,2594,0.167471005575,0.16535557432,0.166310351357,0.166270912009,0.166901010951,0.167691145788,6,2
0,9,0,1435,0.165823557911,0.164841048427,0.164682639745,0.165750423653,0.164363356936,0.174538973329,6,2
0,9,0,1682,0.166448015752,0.166440000936,0.165153946789,0.167290758121,0.164804596259,0.169862682143,6,2
0,9,0,5175,0.16665662914,0.166817631439,0.165500514572,0.166940313313,0.165038758893,0.169046152643,6,2
0,9,0,1768,0.166448015752,0.166440000936,0.165153946789,0.167290758121,0.164804596259,0.169862682143,6,2
0,9,0,4953,0.168042695336,0.166158454213,0.167099291574,0.165909496114,0.165866363312,0.166923699451,1,2
0,9,0,5516,0.166001437232,0.165276043534,0.165057707522,0.165349797497,0.16461089487,0.173704119345,6,2
0,9,0,4500,0.168042695336,0.166158454213,0.167099291574,0.165909496114,0.165866363312,0.166923699451,1,2
0,9,0,5956,0.167422490795,0.166204465589,0.167430753667,0.165196596078,0.165274087166,0.168471606704,6,2
0,9,0,5449,0.167723485846,0.165754362456,0.166641120284,0.166057070221,0.166369272475,0.167454688719,1,2
0,9,0,3668,0.166649148752,0.166800117753,0.165506922861,0.166933390181,0.165047080412,0.169063340042,6,2
0,9,0,800,0.167389194156,0.166318906549,0.167642779096,0.165154208811,0.165024354344,0.168470557043,6,2
% 
% 
%