% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 01:19:47 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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0,9,0,5775,0.1400244205,0.439663582987,0.095230916683,0.101345957319,0.0619581585157,0.161776963995,2,2
0,9,0,3976,0.194920561316,0.174079982011,0.193357694349,0.142949377242,0.243922251522,0.0507701335602,5,2
0,9,0,674,0.142556685126,0.264829296555,0.215260698676,0.0721927126461,0.0449812610519,0.260179345945,2,2
0,9,0,5339,0.134375637738,0.491539007163,0.0328649889576,0.128799150775,0.0372146123383,0.175206603029,2,2
0,9,0,1756,0.0660493417797,0.143217828947,0.0886720978037,0.243180964316,0.00536353618085,0.453516230972,6,2
0,9,0,3069,0.203447900926,0.0411897214288,0.1089844518,0.125289353701,0.210749204749,0.310339367394,6,2
0,9,0,4123,0.0857017180277,0.371529732075,0.322224598264,0.146204542577,0.026221745713,0.0481176633428,2,2
0,9,0,802,0.154744125731,0.272536703704,0.373168006127,0.114305984034,0.0208752076164,0.0643699727876,3,2
0,9,0,3650,0.0629794283598,0.142212778442,0.0908935985252,0.246617327953,0.00579686951419,0.451499997206,6,2
0,9,0,5888,0.0771810124209,0.0735376871447,0.0342727564449,0.0537768310847,0.033708697947,0.727523014958,6,2
0,9,0,4701,0.119681480998,0.348050388337,0.0380270471946,0.0749748167826,0.028336338912,0.390929927776,6,2
0,9,0,4075,0.034284026472,0.0585914361488,0.00729510666537,0.0467769665495,0.0254950850299,0.827557379134,6,2
0,9,0,3401,0.108063688686,0.0439111711128,0.338299669025,0.207794731713,0.0540789118604,0.247851827602,3,2
0,9,0,3803,0.278145283665,0.159286555569,0.0176173131357,0.0858130701726,0.0244799403353,0.434657837123,6,2
0,9,0,2594,0.282236157418,0.0948508682637,0.207195816669,0.0522348846689,0.224634623764,0.138847649217,1,2
0,9,0,1435,0.0228233469561,0.00515605049642,0.0187353247798,0.096348192543,0.0116128220764,0.845324263148,6,2
0,9,0,1682,0.0545530587,0.148493167451,0.102320655457,0.223086396872,0.00407514474773,0.467471576773,6,2
0,9,0,5175,0.0903286890065,0.312227464222,0.0621847160702,0.143160211138,0.059739420802,0.332359498761,6,2
0,9,0,1768,0.054312574302,0.124085269005,0.125827370503,0.213822677957,0.0100994580529,0.47185265018,6,2
0,9,0,4953,0.398045954408,0.263951214856,0.168814679255,0.152073147663,0.0151545295095,0.0019604743083,1,2
0,9,0,5516,0.06528385996,0.0598753351971,0.0102542909953,0.0668924732158,0.0143158028696,0.783378237762,6,2
0,9,0,4500,0.419342767914,0.17761653479,0.263357895894,0.102149665011,0.0372553586121,0.000277777777778,1,2
0,9,0,5956,0.176428833477,0.37070642824,0.0671050396875,0.156324392867,0.0784565143085,0.15097879142,2,2
0,9,0,5449,0.3003679184,0.362864627764,0.169620057581,0.125067494194,0.0394948669271,0.00258503513395,2,2
0,9,0,3668,0.0820390176607,0.314393141916,0.0547109318222,0.145910912202,0.0606273395235,0.342318656876,6,2
0,9,0,800,0.112867545351,0.169666284166,0.566664270869,0.0799245320349,0.00986754928674,0.0610098182924,3,2
% 
% 
%