% Python_3.5.2.
% Sklearn_0.18.1.
% NumPy_1.13.1.
% SciPy_0.19.1.
% Sun Jul 16 12:03:43 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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0,9,0,4317,0.123438378193,0.461110423133,0.186412087927,0.133328253666,0.0392892772133,0.0564215798672,2,2
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0,9,0,3976,0.2908063631,0.106678769595,0.196732047876,0.114433846702,0.243591124657,0.0477578480694,1,2
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0,9,0,1768,0.0632138791385,0.103918620403,0.116322027812,0.274549913598,0.0138407907433,0.428154768305,6,2
0,9,0,4953,0.406775804007,0.327735509178,0.122386244247,0.124842016621,0.0133452212693,0.00491520467836,1,2
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0,9,0,4500,0.458660563668,0.137756580161,0.261637805687,0.114138605667,0.0273302543413,0.00047619047619,1,2
0,9,0,5956,0.191092247754,0.314565633735,0.0995910324065,0.177120143861,0.0869944534254,0.130636488818,2,2
0,9,0,5449,0.244662684088,0.453529815806,0.128548676113,0.120863117723,0.0445315800583,0.00786412621195,2,2
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0,9,0,800,0.132288687741,0.20504953876,0.457541394618,0.0807132647998,0.0169286261834,0.107478487898,3,2
% 
% 
%