% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 02:26:32 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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0,9,0,2023,0.109070029855,0.131935730165,0.0519823675974,0.122783233437,0.400550960348,0.183677678598,5,1
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0,9,0,4322,0.339863746053,0.0393868851822,0.0290533060271,0.0413995946864,0.0173661909556,0.532930277095,6,1
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0,9,0,790,0.159969249746,0.237722198144,0.466491289371,0.0963848640546,0.0149341448026,0.0244982538818,3,1
0,9,0,2101,0.228354328921,0.00639869281046,0.00345405982906,0.372377656551,0.286714822511,0.102700439378,4,1
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0,9,0,3670,0.228431168187,0.261276610929,0.113531053385,0.0894266897365,0.129060420981,0.178274056782,2,2
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0,9,0,4831,0.123028356218,0.0719868451122,0.305355784716,0.0747553159027,0.0443403898583,0.380533308193,6,2
0,9,0,5186,0.144374761006,0.0891391888686,0.42220983261,0.0342074308131,0.132297806263,0.177770980439,3,2
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0,9,0,5023,0.0793667033842,0.0726156449317,0.0774817675015,0.0715133064315,0.0540637913858,0.644958786365,6,2
0,9,0,4317,0.141906104501,0.422741713418,0.170415138513,0.14416331208,0.0609297758221,0.0598439556659,2,2
0,9,0,1268,0.28622588806,0.196287597605,0.114030805843,0.188805353661,0.0537127058112,0.16093764902,1,2
0,9,0,5257,0.214850321206,0.370527527115,0.176604991485,0.0320879821335,0.0264426724488,0.179486505611,2,2
0,9,0,5775,0.1297208902,0.504556024186,0.0962834872975,0.0746221203273,0.046316890867,0.148500587123,2,2
0,9,0,3976,0.285622159557,0.163047912749,0.183698172369,0.107992027924,0.224271179328,0.0353685480737,1,2
0,9,0,674,0.169302287517,0.325666683059,0.202395118437,0.106989718836,0.033115696945,0.162530495206,2,2
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0,9,0,1756,0.0619025790945,0.218281295087,0.0451756287858,0.254184947262,0.00474216524217,0.415713384529,6,2
0,9,0,3069,0.212950408401,0.0603011049184,0.0738098776696,0.171346181854,0.200726811435,0.280865615721,6,2
0,9,0,4123,0.0737698644054,0.444536205828,0.203760790068,0.224235431991,0.0221756531222,0.0315220545851,2,2
0,9,0,802,0.182380496873,0.323209012605,0.335278645883,0.123640185699,0.00970719440742,0.0257844645315,3,2
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0,9,0,3803,0.232169087105,0.17556167223,0.0130957190957,0.0604643482185,0.0260109809695,0.492698192381,6,2
0,9,0,2594,0.259950989734,0.134090046033,0.212106154509,0.082275120644,0.218276348722,0.0933013403573,1,2
0,9,0,1435,0.0413499458058,0.00841966769141,0.0213933643438,0.0869239678167,0.012558089857,0.829354964485,6,2
0,9,0,1682,0.0407964177635,0.190064816547,0.073535387328,0.28526585227,0.00335714285714,0.406980383234,6,2
0,9,0,5175,0.0589165241271,0.393388894125,0.0881632287947,0.155178076839,0.0567026266013,0.247650649512,2,2
0,9,0,1768,0.0339853124029,0.0982501366877,0.148278960433,0.264776759101,0.00315151515152,0.451557316223,6,2
0,9,0,4953,0.410349407697,0.29177761616,0.136288732443,0.149812019448,0.0100728778468,0.00169934640523,1,2
0,9,0,5516,0.0494841100162,0.114049486814,0.0219639229001,0.0589226409238,0.0148833290892,0.740696510256,6,2
0,9,0,4500,0.495569660743,0.146967387313,0.240667582657,0.0857487877321,0.0310465815541,0.0,1,2
0,9,0,5956,0.173050206693,0.375720118749,0.0555362146024,0.213252406748,0.0812270275947,0.101214025613,2,2
0,9,0,5449,0.282193907969,0.409991444841,0.15954556115,0.0991176533268,0.0464803969082,0.00267103580563,2,2
0,9,0,3668,0.0821489146003,0.394090653537,0.0793214368148,0.160175511153,0.0517800075537,0.232483476341,2,2
0,9,0,800,0.134734793015,0.19025998024,0.505155636388,0.12525478896,0.0178996829194,0.026695118478,3,2
% 
% 
%