% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 11:06:24 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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0,9,0,5625,0.166774100061,0.166069497739,0.164430270946,0.171440458233,0.163224571209,0.168061101812,4,1
0,9,0,5538,0.168486575294,0.1653556327,0.167119221586,0.164023673654,0.168294242682,0.166720654084,1,1
0,9,0,4322,0.171190808414,0.1660851766,0.165008884262,0.164862970137,0.162941942615,0.169910217972,1,1
0,9,0,4111,0.170181426997,0.168472293124,0.167700972408,0.165190865878,0.162729076959,0.165725364634,1,1
0,9,0,1730,0.169889564949,0.171436145079,0.16232123168,0.164639176563,0.166214400833,0.165499480896,2,1
0,9,0,790,0.16678274139,0.172807293992,0.167024319276,0.165326449496,0.163105281994,0.164953913853,2,1
0,9,0,2101,0.168621455923,0.162013904727,0.162085922326,0.171654677859,0.169027746119,0.166596293044,4,1
0,9,0,4797,0.169538152508,0.169956171166,0.162704130928,0.16820613099,0.162907064317,0.16668835009,1,1
0,9,0,5248,0.16588465921,0.170459582444,0.165746115539,0.165410228727,0.164857708674,0.167641705406,2,2
0,9,0,4902,0.172035703489,0.171560357189,0.161644718016,0.172214146332,0.16135559955,0.161189475424,4,2
0,9,0,3670,0.167395504334,0.169553923497,0.164299320163,0.165766350567,0.166597291975,0.166387609465,2,2
0,9,0,4827,0.165884038918,0.167412072717,0.173803796335,0.164993556857,0.162975449885,0.164931085288,3,2
0,9,0,934,0.176050665983,0.168041559081,0.164708763259,0.162807482078,0.162004045382,0.166387484217,1,2
0,9,0,4096,0.16639877559,0.165195713511,0.16414230968,0.163902972862,0.164475596363,0.175884631995,6,2
0,9,0,2543,0.165740283745,0.165187014497,0.174156620578,0.16281949632,0.168586346488,0.163510238372,3,2
0,9,0,1668,0.168809542732,0.168782777915,0.164605188246,0.166167833047,0.164937914163,0.166696743898,1,2
0,9,0,3212,0.167813311002,0.165081042764,0.164405194313,0.168666957636,0.165603109558,0.168430384727,4,2
0,9,0,1095,0.169605318299,0.165235738762,0.165221891958,0.166486397495,0.164597044639,0.168853608847,1,2
0,9,0,120,0.166335899476,0.16877377556,0.166429398512,0.165108625936,0.164771232716,0.1685810678,6,2
0,9,0,644,0.164912615419,0.169891815472,0.167274745602,0.164676752894,0.166341359548,0.166902711065,2,2
0,9,0,224,0.168141700111,0.169420944331,0.166787987711,0.164370207403,0.16302496569,0.168254194753,6,2
0,9,0,3509,0.161286880227,0.171481553708,0.171931664286,0.161302814051,0.161439827945,0.172557259783,6,2
0,9,0,4831,0.166993172143,0.165229719639,0.168344009658,0.165583810886,0.166180192091,0.167669095584,3,2
0,9,0,5186,0.167915022979,0.165985695217,0.169179561917,0.163788954346,0.16544114493,0.167689620611,3,2
0,9,0,5518,0.166405981289,0.171310661175,0.168191000565,0.16433055796,0.166606342512,0.1631554565,2,2
0,9,0,3784,0.174747969623,0.163466011605,0.163520816933,0.170115893001,0.163204572366,0.164944736472,1,2
0,9,0,5023,0.165057949285,0.164043909715,0.163389704352,0.16409465268,0.163244586502,0.180169197466,6,2
0,9,0,4317,0.16600858666,0.172992790702,0.166296561559,0.166552516286,0.163491451302,0.164658093492,2,2
0,9,0,1268,0.173585557125,0.166088679157,0.16388210212,0.166750248581,0.164321037133,0.165372375884,1,2
0,9,0,5257,0.166060406015,0.17830821326,0.164476696141,0.16278866791,0.161990292659,0.166375724016,2,2
0,9,0,5775,0.165559139916,0.175011788853,0.16488416989,0.164712486812,0.164389318665,0.165443095864,2,2
0,9,0,3976,0.170338279741,0.164061273407,0.168143219943,0.166148065396,0.168083678461,0.163225483052,1,2
0,9,0,674,0.166851558173,0.172750590936,0.166645809867,0.164863232805,0.162872247586,0.166016560633,2,2
0,9,0,5339,0.16519619515,0.172218065297,0.165211723163,0.168088513445,0.163664977794,0.16562052515,2,2
0,9,0,1756,0.167347450586,0.167291933284,0.164662270743,0.169293294068,0.163172581704,0.168232469616,6,2
0,9,0,3069,0.167086478791,0.163924067323,0.165080109524,0.169335913714,0.167915596958,0.166657833692,4,2
0,9,0,4123,0.16521695132,0.168356637545,0.167238753866,0.170789942073,0.163389314145,0.165008401051,4,2
0,9,0,802,0.167077216333,0.172517672003,0.166691786873,0.165902519626,0.162797482777,0.165013322389,2,2
0,9,0,3650,0.166806450103,0.167452226181,0.164444658626,0.169606443064,0.163252828019,0.168437394005,6,2
0,9,0,5888,0.166340569437,0.166564666867,0.16371510618,0.165893611004,0.165166144261,0.172319902253,6,2
0,9,0,4701,0.168216970916,0.172561276253,0.164951594503,0.165494955102,0.16290189918,0.165873304045,2,2
0,9,0,4075,0.164718279933,0.168770692589,0.162410783543,0.168423740665,0.162423636341,0.173252866928,6,2
0,9,0,3401,0.166039352163,0.164037506053,0.167249182698,0.167742533756,0.16379983716,0.17113158817,6,2
0,9,0,3803,0.167812776729,0.171066260277,0.163030210795,0.16520506796,0.164066566221,0.168819118017,2,2
0,9,0,2594,0.169516295406,0.165661947725,0.167053292994,0.164258743151,0.166827622349,0.166682098376,1,2
0,9,0,1435,0.165771279141,0.163317522459,0.163868951699,0.170189642551,0.165254294994,0.171598309157,6,2
0,9,0,1682,0.16509404512,0.175419127697,0.164359700301,0.165872380893,0.162983581733,0.166271164257,2,2
0,9,0,5175,0.165919564616,0.170583927431,0.164362112066,0.166798708474,0.164015009489,0.168320677924,2,2
0,9,0,1768,0.165371484817,0.168335009893,0.166238922614,0.168707409651,0.163009201827,0.168337971198,6,2
0,9,0,4953,0.172319904255,0.168713858111,0.166078339601,0.168910409514,0.162195629311,0.161781859208,1,2
0,9,0,5516,0.166595108727,0.168797535418,0.162794806851,0.165912980674,0.163721938217,0.172177630113,6,2
0,9,0,4500,0.172253624207,0.167381944282,0.16722562827,0.167949979718,0.163881093225,0.161307730298,1,2
0,9,0,5956,0.166165000111,0.17200143205,0.164520210972,0.167169742106,0.163901384031,0.16624223073,2,2
0,9,0,5449,0.169491761899,0.173843602178,0.167250517145,0.166196493419,0.161755194816,0.161462430542,2,2
0,9,0,3668,0.166033928217,0.171447928707,0.164235263834,0.166714945192,0.163886357594,0.167681576456,2,2
0,9,0,800,0.16586320878,0.17335148548,0.167274652625,0.166279081678,0.162745926394,0.164485645043,2,2
% 
% 
%