% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Sun Jul 16 20:16:30 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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0,9,0,5518,0.131940000019,0.381802372378,0.335244328653,0.0247408057112,0.122095443533,0.00417704970551,2,2
0,9,0,3784,0.504740996206,0.0149585227688,0.00400771648,0.383627206039,0.00451492151113,0.0881506369952,1,2
0,9,0,5023,0.0974843174974,0.0581690246068,0.0757759984208,0.0522474081751,0.0290374557034,0.687285795597,6,2
0,9,0,4317,0.151068160555,0.379937141938,0.19088492985,0.137193349605,0.0571162567621,0.08380016129,2,2
0,9,0,1268,0.238429669415,0.176885204598,0.109400495586,0.154307516376,0.0959949798995,0.224982134127,1,2
0,9,0,5257,0.157504424799,0.356789640575,0.206781378754,0.0636381131424,0.0251898019019,0.190096640827,2,2
0,9,0,5775,0.167982821821,0.426851266991,0.0956549553123,0.0925365223868,0.0706410101711,0.146333423319,2,2
0,9,0,3976,0.229760977514,0.125960549841,0.183497266542,0.118271356354,0.27986342304,0.0626464267096,5,2
0,9,0,674,0.214417901231,0.277422905932,0.218836948405,0.0920066696368,0.0342538645966,0.163061710199,2,2
0,9,0,5339,0.129292434495,0.476967497292,0.0533249778684,0.113005062344,0.0575382993395,0.16987172866,2,2
0,9,0,1756,0.062890443438,0.165980163482,0.076912864342,0.235924412779,0.0106923749704,0.447599740989,6,2
0,9,0,3069,0.200776357795,0.0384810569876,0.117904088341,0.165683645971,0.205234580333,0.271920270572,6,2
0,9,0,4123,0.108654744325,0.366614388042,0.285562579868,0.14773681035,0.0349173837505,0.0565140936641,2,2
0,9,0,802,0.122797921825,0.332018438875,0.370340884739,0.112897491561,0.0217021671261,0.0402430958739,3,2
0,9,0,3650,0.0623614538517,0.170231631724,0.0733110411566,0.239920027931,0.0106923749704,0.443483470366,6,2
0,9,0,5888,0.0614408743844,0.0804175992693,0.0504929189332,0.0538362752905,0.043141377491,0.710670954632,6,2
0,9,0,4701,0.115699405278,0.33987081226,0.056048294762,0.0687084150942,0.0307380422492,0.388935030357,6,2
0,9,0,4075,0.0690775249722,0.058985163182,0.00813464076375,0.0904042491722,0.0328652550753,0.740533166834,6,2
0,9,0,3401,0.12573287993,0.049496782828,0.274439678198,0.269606923773,0.0372777160876,0.243446019183,3,2
0,9,0,3803,0.264343618105,0.122486064963,0.0191375845739,0.0665544845157,0.0369509392033,0.490527308639,6,2
0,9,0,2594,0.27655684788,0.112881329536,0.17092331535,0.0711419166298,0.239457661167,0.129038929438,1,2
0,9,0,1435,0.0530356391627,0.0147707908768,0.0293538054792,0.0751830062072,0.0150758398256,0.812580918448,6,2
0,9,0,1682,0.0479278595358,0.134568463501,0.0830275176297,0.243465032885,0.0177220931893,0.473289033259,6,2
0,9,0,5175,0.118806728189,0.306030301544,0.0535741318484,0.165943357015,0.0823368415003,0.273308639904,2,2
0,9,0,1768,0.0546359329447,0.133444328126,0.112236261717,0.243209533867,0.0137505681563,0.44272337519,6,2
0,9,0,4953,0.407608246534,0.273374867024,0.169552396874,0.120514580807,0.0169084183963,0.0120414903645,1,2
0,9,0,5516,0.0487287254767,0.0723115517519,0.0125467510926,0.0429166381781,0.0235231676284,0.799973165872,6,2
0,9,0,4500,0.42742650604,0.178194168243,0.239981472088,0.122376923724,0.0291288411361,0.00289208876945,1,2
0,9,0,5956,0.199054000259,0.328240936641,0.0969262900772,0.16955583037,0.0716296854145,0.134593257237,2,2
0,9,0,5449,0.315144720984,0.372769851207,0.129621286865,0.123815269549,0.0505036443999,0.00814522699458,2,2
0,9,0,3668,0.115157377074,0.330067109808,0.0589184503839,0.161715169102,0.08235508685,0.251786806782,2,2
0,9,0,800,0.115565358802,0.177136879425,0.506965185654,0.0946462853835,0.0161049740475,0.0895813166891,3,2
% 
% 
%