% Python_3.7.6.
% Sklearn_0.22.2.post1.
% NumPy_1.18.1.
% SciPy_1.4.1.
% Tue Mar 10 17:58:36 2020
% Created by run_task()
@RELATION openml_task_1799_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
0,0,0,280,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,136,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,46,0.0,1.0,0.0,0.0,0.0,0.0,2,4
0,0,0,271,0.0,1.0,0.0,0.0,0.0,0.0,2,4
0,0,0,257,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,95,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,259,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,331,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,51,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,346,0.0,1.0,0.0,0.0,0.0,0.0,2,4
0,0,0,307,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,362,0.0,1.0,0.0,0.0,0.0,0.0,2,4
0,0,0,67,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,308,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,322,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,328,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,168,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,58,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,218,0.0,1.0,0.0,0.0,0.0,0.0,2,4
0,0,0,281,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,258,1.0,0.0,0.0,0.0,0.0,0.0,1,4
0,0,0,118,0.0,1.0,0.0,0.0,0.0,0.0,2,4
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0,0,0,227,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,62,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,54,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,133,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,97,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,27,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,24,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,44,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,296,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,295,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,333,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,202,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,201,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,228,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,200,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,342,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,297,1.0,0.0,0.0,0.0,0.0,0.0,1,5
0,0,0,18,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,312,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,155,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,287,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,45,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,87,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,302,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,315,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,65,0.0,0.0,1.0,0.0,0.0,0.0,3,3
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0,0,0,288,0.0,0.0,1.0,0.0,0.0,0.0,3,3
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0,0,0,14,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,191,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,363,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,178,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,174,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,162,1.0,0.0,0.0,0.0,0.0,0.0,1,3
0,0,0,255,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,50,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,179,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,57,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,113,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,23,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,94,0.0,0.0,1.0,0.0,0.0,0.0,3,3
0,0,0,196,0.0,0.0,1.0,0.0,0.0,0.0,3,3
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4,1,0,270,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,74,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,361,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,41,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,221,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,219,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,331,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,218,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,8,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,136,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,280,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,89,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,325,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,168,1.0,0.0,0.0,0.0,0.0,0.0,1,4
4,1,0,160,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,306,0.0,1.0,0.0,0.0,0.0,0.0,2,4
4,1,0,177,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,83,0.0,0.0,0.0,0.0,0.0,1.0,6,2
4,1,0,64,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,28,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,198,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,59,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,16,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,150,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,231,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,161,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,75,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,149,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,140,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,195,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,146,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,286,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,187,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,199,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,197,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,278,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,91,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,284,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,285,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,35,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,120,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,76,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,12,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,82,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,230,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,21,1.0,0.0,0.0,0.0,0.0,0.0,1,2
4,1,0,186,0.0,1.0,0.0,0.0,0.0,0.0,2,2
4,1,0,228,1.0,0.0,0.0,0.0,0.0,0.0,1,5
4,1,0,203,1.0,0.0,0.0,0.0,0.0,0.0,1,5
4,1,0,202,1.0,0.0,0.0,0.0,0.0,0.0,1,5
4,1,0,201,1.0,0.0,0.0,0.0,0.0,0.0,1,5
4,1,0,22,1.0,0.0,0.0,0.0,0.0,0.0,1,5
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4,1,0,349,0.0,0.0,0.0,0.0,0.0,1.0,6,6
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4,1,0,239,0.0,0.0,0.0,0.0,0.0,1.0,6,6
4,1,0,47,0.0,0.0,0.0,0.0,0.0,1.0,6,6
4,1,0,348,0.0,0.0,0.0,0.0,0.0,1.0,6,6
4,1,0,122,0.0,0.0,0.0,0.0,0.0,1.0,6,6
4,1,0,343,0.0,0.0,0.0,0.0,0.0,1.0,6,6
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4,1,0,344,0.0,0.0,0.0,0.0,0.0,1.0,6,6
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