% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.14.2.
% SciPy_0.19.1.
% Sun Apr  8 02:28:55 2018
% Created by run_task()
@RELATION openml_task_14_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 confidence.7 NUMERIC
@ATTRIBUTE confidence.8 NUMERIC
@ATTRIBUTE confidence.9 NUMERIC
@ATTRIBUTE confidence.10 NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}
@ATTRIBUTE correct {1, 2, 3, 4, 5, 6, 7, 8, 9, 10}

@DATA
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0,9,0,1250,0.10506526478892354,0.10387820047631519,0.102750254815102,0.10159204435783126,0.10048244724435595,0.09942053589458971,0.09818050401172582,0.09715084439745597,0.09638353995347053,0.09509636406023009,7,7
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0,9,0,1330,0.1050026292494077,0.10387720333373557,0.10272620036580318,0.1016186078236432,0.10048518856225715,0.0993905440527971,0.09825131929327464,0.09718608809632691,0.09631067523607695,0.0951515439866779,7,7
0,9,0,1271,0.10496284725224428,0.10386954573603548,0.10272087866946764,0.10166382255847432,0.10053188490312506,0.09942865496269072,0.0982442797080645,0.09719421967158262,0.09626713122271394,0.09511673531560164,10,7
0,9,0,1390,0.1050551235254735,0.10389058945522232,0.10274704297550433,0.10158580670315698,0.10045869338566411,0.09934010816813625,0.09822387443171976,0.09719507871021815,0.09638683165396827,0.09511685099093647,7,7
0,9,0,1252,0.10503928567738856,0.1039086221664798,0.10278392300424702,0.10165414666871425,0.10046624182921292,0.09937185349590492,0.09815282322545112,0.09716772009675875,0.09639023518856416,0.09506514864727866,7,7
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0,9,0,1207,0.10498599461880806,0.10387996900126639,0.10274390194524041,0.10166475705660839,0.1004952315944722,0.09942026879539373,0.09821722941180094,0.09718568747028815,0.09631250907787899,0.09509445102824315,10,7
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0,9,0,1213,0.10490467005026646,0.10385376495186355,0.10271564440789956,0.1016690242705201,0.10053152798320016,0.09941681820290788,0.09830299313874331,0.09724485006148767,0.09618208805129155,0.0951786188818196,9,7
0,9,0,1249,0.10501392324174437,0.10387408228317026,0.10274103506956937,0.10163725594728873,0.10049838203557733,0.09939567118828443,0.09821592065105136,0.09719772303798153,0.09633055576529417,0.09509545078003839,10,7
0,9,0,1211,0.10489168507893999,0.10385714930594572,0.10271606621502434,0.10168146825924021,0.10053876414343833,0.09942013005715306,0.09829895950909236,0.09725003957134434,0.09617445904091909,0.09517127881890255,9,7
0,9,0,1219,0.10491879551398159,0.10388111621319832,0.10272421877466624,0.10165852867895593,0.10052896267362461,0.09939715495153992,0.09827979982732063,0.09721526424476913,0.0962360581625663,0.0951601009593775,2,7
0,9,0,1363,0.10508327788804592,0.1039398530648421,0.10279572400618557,0.1015889583770885,0.10040662970015524,0.09933654580380519,0.0981851465049343,0.0971579903331939,0.09643003656275878,0.0950758377589905,10,7
0,9,0,1319,0.10500157094709708,0.10389226837528993,0.10277206147392041,0.10166406473322408,0.10048663291369324,0.09940037155477667,0.09818735841062856,0.09717928718495139,0.09633416423691651,0.09508222016950184,10,7
0,9,0,1360,0.10503777212560726,0.10390659853937327,0.1027697713724532,0.10159285681429321,0.1004413917795243,0.09933057477639884,0.09822379702692435,0.09722006331450714,0.09636885158145221,0.0951083226694662,10,7
% 
% 
%