% Python_3.6.0.
% Sklearn_0.18.1.
% NumPy_1.13.0.
% SciPy_0.19.1.
% Mon Jul 17 10:31:11 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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0,9,0,4953,0.389476788934,0.316062600828,0.133395091939,0.1528204828,0.00781025289005,0.000434782608696,1,2
0,9,0,5516,0.0661306973599,0.0847366353999,0.0124339730832,0.0451152837445,0.016869618705,0.774713791708,6,2
0,9,0,4500,0.456978009444,0.164466253508,0.225658919909,0.10365531964,0.0492414974991,0.0,1,2
0,9,0,5956,0.198941182988,0.432709997292,0.0424922913195,0.172054076832,0.0574488879351,0.0963535636321,2,2
0,9,0,5449,0.299858866001,0.38812212629,0.149021065384,0.109867903424,0.0493014674722,0.00382857142857,2,2
0,9,0,3668,0.0749458738873,0.388345372201,0.0544861217797,0.139725503245,0.104333746661,0.238163382226,2,2
0,9,0,800,0.141147433182,0.194256845001,0.50205657879,0.105635851991,0.0141815825494,0.0427217084862,3,2
% 
% 
%