% Python_3.9.16.
% Sklearn_1.2.2.
% NumPy_1.22.4.
% SciPy_1.10.1.
% Tue Mar 28 15:27:47 2023
% Created by run_flow_on_task
@RELATION openml_task_361412_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {B, L, R}
@ATTRIBUTE correct {B, L, R}
@ATTRIBUTE confidence.B NUMERIC
@ATTRIBUTE confidence.L NUMERIC
@ATTRIBUTE confidence.R NUMERIC

@DATA
0,0,0,380,L,L,0.0,1.0,0.0
0,0,0,340,L,L,0.0,1.0,0.0
0,0,0,557,L,L,0.0,1.0,0.0
0,0,0,466,L,L,0.0,1.0,0.0
0,0,0,459,L,L,0.0,1.0,0.0
0,0,0,365,L,L,0.0,1.0,0.0
0,0,0,279,R,L,0.0,0.0,1.0
0,0,0,160,R,L,0.0,0.0,1.0
0,0,0,606,L,L,0.0,1.0,0.0
0,0,0,621,L,L,0.0,1.0,0.0
0,0,0,611,L,L,0.0,1.0,0.0
0,0,0,591,L,L,0.0,1.0,0.0
0,0,0,453,L,L,0.0,1.0,0.0
0,0,0,152,L,L,0.0,1.0,0.0
0,0,0,493,L,L,0.0,1.0,0.0
0,0,0,311,L,L,0.0,1.0,0.0
0,0,0,306,L,L,0.0,1.0,0.0
0,0,0,329,L,L,0.0,1.0,0.0
0,0,0,425,L,L,0.0,1.0,0.0
0,0,0,400,L,L,0.0,1.0,0.0
0,0,0,285,L,L,0.0,1.0,0.0
0,0,0,465,L,L,0.0,1.0,0.0
0,0,0,337,L,L,0.0,1.0,0.0
0,0,0,609,L,L,0.0,1.0,0.0
0,0,0,175,L,L,0.0,1.0,0.0
0,0,0,553,L,L,0.0,1.0,0.0
0,0,0,462,L,L,0.0,1.0,0.0
0,0,0,558,L,L,0.0,1.0,0.0
0,0,0,486,L,L,0.0,1.0,0.0
0,0,0,236,L,L,0.0,1.0,0.0
0,0,0,278,L,L,0.0,1.0,0.0
0,0,0,316,R,L,0.0,0.0,1.0
0,0,0,578,L,L,0.0,1.0,0.0
0,0,0,356,L,L,0.0,1.0,0.0
0,0,0,563,L,L,0.0,1.0,0.0
0,0,0,475,L,L,0.0,1.0,0.0
0,0,0,405,L,L,0.0,1.0,0.0
0,0,0,451,L,L,0.0,1.0,0.0
0,0,0,106,L,L,0.0,1.0,0.0
0,0,0,532,L,L,0.0,1.0,0.0
0,0,0,496,L,L,0.0,1.0,0.0
0,0,0,178,L,L,0.0,1.0,0.0
0,0,0,181,L,L,0.0,1.0,0.0
0,0,0,541,L,L,0.0,1.0,0.0
0,0,0,362,L,L,0.0,1.0,0.0
0,0,0,328,L,L,0.0,1.0,0.0
0,0,0,333,L,L,0.0,1.0,0.0
0,0,0,280,L,L,0.0,1.0,0.0
0,0,0,404,L,L,0.0,1.0,0.0
0,0,0,307,L,L,0.0,1.0,0.0
0,0,0,276,L,L,0.0,1.0,0.0
0,0,0,567,L,L,0.0,1.0,0.0
0,0,0,357,L,L,0.0,1.0,0.0
0,0,0,228,L,L,0.0,1.0,0.0
0,0,0,584,L,L,0.0,1.0,0.0
0,0,0,612,L,L,0.0,1.0,0.0
0,0,0,485,L,L,0.0,1.0,0.0
0,0,0,406,L,L,0.0,1.0,0.0
0,0,0,351,L,L,0.0,1.0,0.0
0,0,0,336,L,L,0.0,1.0,0.0
0,0,0,617,L,L,0.0,1.0,0.0
0,0,0,51,L,L,0.0,1.0,0.0
0,0,0,402,L,L,0.0,1.0,0.0
0,0,0,537,L,L,0.0,1.0,0.0
0,0,0,225,L,L,0.0,1.0,0.0
0,0,0,360,L,L,0.0,1.0,0.0
0,0,0,230,L,L,0.0,1.0,0.0
0,0,0,210,L,L,0.0,1.0,0.0
0,0,0,603,L,L,0.0,1.0,0.0
0,0,0,619,L,L,0.0,1.0,0.0
0,0,0,497,L,L,0.0,1.0,0.0
0,0,0,85,L,L,0.0,1.0,0.0
0,0,0,608,L,L,0.0,1.0,0.0
0,0,0,604,L,L,0.0,1.0,0.0
0,0,0,505,L,L,0.0,1.0,0.0
0,0,0,185,L,L,0.0,1.0,0.0
0,0,0,302,L,L,0.0,1.0,0.0
0,0,0,550,L,L,0.0,1.0,0.0
0,0,0,426,L,L,0.0,1.0,0.0
0,0,0,528,L,L,0.0,1.0,0.0
0,0,0,346,R,L,0.0,0.0,1.0
0,0,0,303,L,L,0.0,1.0,0.0
0,0,0,376,L,L,0.0,1.0,0.0
0,0,0,290,R,L,0.0,0.0,1.0
0,0,0,435,L,L,0.0,1.0,0.0
0,0,0,530,L,L,0.0,1.0,0.0
0,0,0,559,L,L,0.0,1.0,0.0
0,0,0,457,L,L,0.0,1.0,0.0
0,0,0,432,L,L,0.0,1.0,0.0
0,0,0,250,L,L,0.0,1.0,0.0
0,0,0,575,L,L,0.0,1.0,0.0
0,0,0,581,L,L,0.0,1.0,0.0
0,0,0,590,L,L,0.0,1.0,0.0
0,0,0,472,R,L,0.0,0.0,1.0
0,0,0,455,L,L,0.0,1.0,0.0
0,0,0,605,L,L,0.0,1.0,0.0
0,0,0,570,L,L,0.0,1.0,0.0
0,0,0,565,L,L,0.0,1.0,0.0
0,0,0,501,L,L,0.0,1.0,0.0
0,0,0,446,R,L,0.0,0.0,1.0
0,0,0,410,L,L,0.0,1.0,0.0
0,0,0,215,L,L,0.0,1.0,0.0
0,0,0,310,L,L,0.0,1.0,0.0
0,0,0,195,R,L,0.0,0.0,1.0
0,0,0,525,L,L,0.0,1.0,0.0
0,0,0,326,L,L,0.0,1.0,0.0
0,0,0,601,L,L,0.0,1.0,0.0
0,0,0,332,L,L,0.0,1.0,0.0
0,0,0,579,L,L,0.0,1.0,0.0
0,0,0,150,L,L,0.0,1.0,0.0
0,0,0,353,L,L,0.0,1.0,0.0
0,0,0,531,L,L,0.0,1.0,0.0
0,0,0,204,L,L,0.0,1.0,0.0
0,0,0,235,L,L,0.0,1.0,0.0
0,0,0,450,L,L,0.0,1.0,0.0
0,0,0,275,L,L,0.0,1.0,0.0
0,0,0,467,L,L,0.0,1.0,0.0
0,0,0,305,L,L,0.0,1.0,0.0
0,0,0,555,L,L,0.0,1.0,0.0
0,0,0,488,L,L,0.0,1.0,0.0
0,0,0,545,L,L,0.0,1.0,0.0
0,0,0,492,L,L,0.0,1.0,0.0
0,0,0,556,L,L,0.0,1.0,0.0
0,0,0,588,L,L,0.0,1.0,0.0
0,0,0,437,L,L,0.0,1.0,0.0
0,0,0,454,L,L,0.0,1.0,0.0
0,0,0,80,L,L,0.0,1.0,0.0
0,0,0,441,L,L,0.0,1.0,0.0
0,0,0,345,L,L,0.0,1.0,0.0
0,0,0,436,L,L,0.0,1.0,0.0
0,0,0,482,L,L,0.0,1.0,0.0
0,0,0,241,L,L,0.0,1.0,0.0
0,0,0,211,L,L,0.0,1.0,0.0
0,0,0,359,L,L,0.0,1.0,0.0
0,0,0,377,L,L,0.0,1.0,0.0
0,0,0,245,L,L,0.0,1.0,0.0
0,0,0,233,L,L,0.0,1.0,0.0
0,0,0,407,L,L,0.0,1.0,0.0
0,0,0,375,L,L,0.0,1.0,0.0
0,0,0,623,L,L,0.0,1.0,0.0
0,0,0,596,L,L,0.0,1.0,0.0
0,0,0,434,L,L,0.0,1.0,0.0
0,0,0,231,L,L,0.0,1.0,0.0
0,0,0,460,L,L,0.0,1.0,0.0
0,0,0,3,R,R,0.0,0.0,1.0
0,0,0,96,R,R,0.0,0.0,1.0
0,0,0,419,R,R,0.0,0.0,1.0
0,0,0,253,R,R,0.0,0.0,1.0
0,0,0,224,R,R,0.0,0.0,1.0
0,0,0,197,R,R,0.0,0.0,1.0
0,0,0,17,R,R,0.0,0.0,1.0
0,0,0,569,R,R,0.0,0.0,1.0
0,0,0,163,R,R,0.0,0.0,1.0
0,0,0,474,R,R,0.0,0.0,1.0
0,0,0,114,R,R,0.0,0.0,1.0
0,0,0,396,R,R,0.0,0.0,1.0
0,0,0,343,R,R,0.0,0.0,1.0
0,0,0,29,R,R,0.0,0.0,1.0
0,0,0,148,R,R,0.0,0.0,1.0
0,0,0,1,R,R,0.0,0.0,1.0
0,0,0,339,R,R,0.0,0.0,1.0
0,0,0,123,R,R,0.0,0.0,1.0
0,0,0,54,R,R,0.0,0.0,1.0
0,0,0,258,R,R,0.0,0.0,1.0
0,0,0,439,R,R,0.0,0.0,1.0
0,0,0,448,R,R,0.0,0.0,1.0
0,0,0,62,R,R,0.0,0.0,1.0
0,0,0,10,R,R,0.0,0.0,1.0
0,0,0,516,R,R,0.0,0.0,1.0
0,0,0,257,R,R,0.0,0.0,1.0
0,0,0,383,R,R,0.0,0.0,1.0
0,0,0,187,R,R,0.0,0.0,1.0
0,0,0,218,R,R,0.0,0.0,1.0
0,0,0,124,R,R,0.0,0.0,1.0
0,0,0,568,R,R,0.0,0.0,1.0
0,0,0,37,R,R,0.0,0.0,1.0
0,0,0,57,R,R,0.0,0.0,1.0
0,0,0,507,L,R,0.0,1.0,0.0
0,0,0,98,R,R,0.0,0.0,1.0
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0,0,0,547,R,R,0.0,0.0,1.0
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0,0,0,319,R,R,0.0,0.0,1.0
0,0,0,291,R,R,0.0,0.0,1.0
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0,0,0,414,R,R,0.0,0.0,1.0
0,0,0,382,L,R,0.0,1.0,0.0
0,0,0,74,R,R,0.0,0.0,1.0
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0,0,0,543,R,R,0.0,0.0,1.0
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0,0,0,508,L,R,0.0,1.0,0.0
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0,0,0,449,R,R,0.0,0.0,1.0
0,0,0,542,R,R,0.0,0.0,1.0
0,0,0,27,R,R,0.0,0.0,1.0
0,0,0,184,R,R,0.0,0.0,1.0
0,0,0,217,R,R,0.0,0.0,1.0
0,0,0,7,R,R,0.0,0.0,1.0
0,0,0,22,R,R,0.0,0.0,1.0
0,0,0,135,R,R,0.0,0.0,1.0
0,0,0,384,R,R,0.0,0.0,1.0
0,0,0,118,R,R,0.0,0.0,1.0
0,0,0,83,R,R,0.0,0.0,1.0
0,0,0,139,R,R,0.0,0.0,1.0
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0,0,0,44,R,R,0.0,0.0,1.0
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0,0,0,58,R,R,0.0,0.0,1.0
0,0,0,469,R,R,0.0,0.0,1.0
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0,0,0,4,R,R,0.0,0.0,1.0
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0,0,0,92,R,R,0.0,0.0,1.0
0,0,0,263,R,R,0.0,0.0,1.0
0,0,0,99,R,R,0.0,0.0,1.0
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0,0,0,156,L,B,0.0,1.0,0.0
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0,0,0,26,L,B,0.0,1.0,0.0
0,0,0,60,R,B,0.0,0.0,1.0
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