% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 11:15:46 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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0,9,0,5257,0.175055857971,0.43748628427,0.175251766551,0.0376880196687,0.022633020746,0.151885050794,2,2
0,9,0,5775,0.152884738069,0.431924444106,0.0738356741298,0.0836121147514,0.0698876595111,0.187855369433,2,2
0,9,0,3976,0.276872384753,0.147576736516,0.171294975664,0.113916043837,0.248756158487,0.041583700742,1,2
0,9,0,674,0.12681388095,0.281177063949,0.251614494123,0.0873195169554,0.0257200932023,0.22735495082,2,2
0,9,0,5339,0.130428007192,0.469190031589,0.0485924214674,0.135056014118,0.0562975208916,0.160436004742,2,2
0,9,0,1756,0.0472954702246,0.169967485988,0.0558890081796,0.254533337277,0.00433333333333,0.467981364997,6,2
0,9,0,3069,0.221994960406,0.0521484226128,0.0961376970553,0.146431125806,0.200323737709,0.282964056411,6,2
0,9,0,4123,0.0715063447029,0.439547605541,0.248842008981,0.156299643306,0.0274273283906,0.0563770690786,2,2
0,9,0,802,0.131336480769,0.332212524214,0.370588896037,0.0849397067599,0.0132727852213,0.0676496069982,3,2
0,9,0,3650,0.048314839744,0.193045421082,0.0374223113058,0.266142321,0.00204761904762,0.45302748782,6,2
0,9,0,5888,0.0661685651809,0.0742203049359,0.0292000735762,0.0463252701031,0.0385750727171,0.745510713487,6,2
0,9,0,4701,0.134675207196,0.365152235507,0.0485309657214,0.0744540864902,0.0115633657278,0.365624139357,6,2
0,9,0,4075,0.0402177986834,0.0503464339363,0.00859518281619,0.0394260376855,0.0442343286865,0.817180218192,6,2
0,9,0,3401,0.105115744512,0.0275875462257,0.263923866252,0.244891637516,0.0191127369363,0.339368468557,6,2
0,9,0,3803,0.281578398148,0.193861941376,0.00506025244106,0.0396738814591,0.0197753296325,0.460050196943,6,2
0,9,0,2594,0.310450792543,0.12949069167,0.199857071635,0.049152556336,0.210315645655,0.100733242162,1,2
0,9,0,1435,0.0347952865071,0.00536838015785,0.0184804055594,0.0807255229373,0.00673038073038,0.853900024108,6,2
0,9,0,1682,0.03446696458,0.169679359211,0.0640566738473,0.244621396835,0.00162337662338,0.485552228903,6,2
0,9,0,5175,0.0953793522438,0.342205293096,0.0488515971364,0.122627645214,0.0862787454894,0.304657366821,2,2
0,9,0,1768,0.0355660738041,0.124221846437,0.134442492062,0.254323041681,0.00443540669856,0.447011139316,6,2
0,9,0,4953,0.420676773006,0.29523379049,0.153191779587,0.109828452418,0.015843874274,0.00522533022533,1,2
0,9,0,5516,0.0280624483158,0.0662343675215,0.0145203125163,0.043651234332,0.0120149335958,0.835516703719,6,2
0,9,0,4500,0.454843062083,0.176104463418,0.202416715557,0.125219285955,0.0414164729859,0.0,1,2
0,9,0,5956,0.196208395578,0.363524022374,0.0732571790095,0.161024801308,0.0653728925873,0.140612709143,2,2
0,9,0,5449,0.303211596508,0.375502873864,0.169028407436,0.109598669479,0.038495773287,0.00416267942584,2,2
0,9,0,3668,0.0871262813431,0.350197612624,0.0488682497843,0.129469776274,0.092322472769,0.292015607206,2,2
0,9,0,800,0.108480047684,0.167777705584,0.482608106603,0.0840741654315,0.0196752056024,0.137384769096,3,2
% 
% 
%