% Python_3.9.20.
% Sklearn_1.2.2.
% NumPy_1.26.4.
% SciPy_1.10.1.
% Thu Oct 17 16:10:21 2024
% Created by run_flow_on_task
@RELATION openml_task_23_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
0,0,0,535,L,L,0.0,1.0,0.0
0,0,0,0,L,B,0.0,1.0,0.0
0,0,0,340,L,L,0.0,1.0,0.0
0,0,0,174,R,R,0.0,0.0,1.0
0,0,0,116,R,R,0.0,0.0,1.0
0,0,0,477,L,L,0.0,1.0,0.0
0,0,0,557,L,L,0.0,1.0,0.0
0,0,0,325,L,L,0.0,1.0,0.0
0,0,0,466,L,L,0.0,1.0,0.0
0,0,0,246,L,B,0.0,1.0,0.0
0,0,0,331,L,L,0.0,1.0,0.0
0,0,0,394,R,R,0.0,0.0,1.0
0,0,0,104,L,B,0.0,1.0,0.0
0,0,0,459,L,L,0.0,1.0,0.0
0,0,0,126,L,B,0.0,1.0,0.0
0,0,0,561,L,L,0.0,1.0,0.0
0,0,0,365,L,L,0.0,1.0,0.0
0,0,0,97,R,R,0.0,0.0,1.0
0,0,0,314,R,R,0.0,0.0,1.0
0,0,0,192,R,R,0.0,0.0,1.0
0,0,0,48,R,R,0.0,0.0,1.0
0,0,0,452,L,L,0.0,1.0,0.0
0,0,0,271,R,R,0.0,0.0,1.0
0,0,0,288,R,R,0.0,0.0,1.0
0,0,0,131,R,R,0.0,0.0,1.0
0,0,0,253,R,R,0.0,0.0,1.0
0,0,0,1,R,R,0.0,0.0,1.0
0,0,0,273,R,R,0.0,0.0,1.0
0,0,0,547,R,R,0.0,0.0,1.0
0,0,0,279,R,L,0.0,0.0,1.0
0,0,0,63,R,R,0.0,0.0,1.0
0,0,0,156,R,B,0.0,0.0,1.0
0,0,0,105,L,L,0.0,1.0,0.0
0,0,0,160,R,L,0.0,0.0,1.0
0,0,0,180,L,L,0.0,1.0,0.0
0,0,0,139,R,R,0.0,0.0,1.0
0,0,0,606,L,L,0.0,1.0,0.0
0,0,0,512,R,R,0.0,0.0,1.0
0,0,0,412,R,R,0.0,0.0,1.0
0,0,0,548,R,R,0.0,0.0,1.0
0,0,0,401,L,L,0.0,1.0,0.0
0,0,0,269,R,R,0.0,0.0,1.0
0,0,0,621,L,L,0.0,1.0,0.0
0,0,0,18,R,R,0.0,0.0,1.0
0,0,0,585,L,L,0.0,1.0,0.0
0,0,0,611,L,L,0.0,1.0,0.0
0,0,0,227,L,L,0.0,1.0,0.0
0,0,0,591,L,L,0.0,1.0,0.0
0,0,0,506,L,L,0.0,1.0,0.0
0,0,0,453,L,L,0.0,1.0,0.0
0,0,0,76,L,L,0.0,1.0,0.0
0,0,0,169,R,R,0.0,0.0,1.0
0,0,0,372,L,B,0.0,1.0,0.0
0,0,0,3,R,R,0.0,0.0,1.0
0,0,0,152,L,L,0.0,1.0,0.0
0,0,0,438,L,B,0.0,1.0,0.0
0,0,0,197,R,R,0.0,0.0,1.0
0,0,0,569,R,R,0.0,0.0,1.0
0,0,0,474,R,R,0.0,0.0,1.0
0,0,0,312,L,B,0.0,1.0,0.0
0,0,0,341,L,L,0.0,1.0,0.0
0,0,0,123,R,R,0.0,0.0,1.0
0,0,0,422,R,R,0.0,0.0,1.0
0,0,0,439,R,R,0.0,0.0,1.0
0,0,0,493,L,L,0.0,1.0,0.0
0,0,0,108,R,R,0.0,0.0,1.0
0,0,0,536,L,L,0.0,1.0,0.0
0,0,0,598,L,B,0.0,1.0,0.0
0,0,0,324,R,R,0.0,0.0,1.0
0,0,0,289,R,R,0.0,0.0,1.0
0,0,0,319,R,R,0.0,0.0,1.0
0,0,0,111,L,R,0.0,1.0,0.0
0,0,0,311,L,L,0.0,1.0,0.0
0,0,0,543,R,R,0.0,0.0,1.0
0,0,0,109,R,R,0.0,0.0,1.0
0,0,0,300,L,L,0.0,1.0,0.0
0,0,0,172,R,R,0.0,0.0,1.0
0,0,0,306,L,L,0.0,1.0,0.0
0,0,0,121,R,R,0.0,0.0,1.0
0,0,0,242,R,R,0.0,0.0,1.0
0,0,0,77,L,L,0.0,1.0,0.0
0,0,0,329,L,L,0.0,1.0,0.0
0,0,0,27,R,R,0.0,0.0,1.0
0,0,0,562,L,L,0.0,1.0,0.0
0,0,0,7,R,R,0.0,0.0,1.0
0,0,0,247,R,R,0.0,0.0,1.0
0,0,0,425,L,L,0.0,1.0,0.0
0,0,0,102,L,L,0.0,1.0,0.0
0,0,0,283,R,R,0.0,0.0,1.0
0,0,0,294,R,R,0.0,0.0,1.0
0,0,0,161,R,R,0.0,0.0,1.0
0,0,0,538,R,R,0.0,0.0,1.0
0,0,0,519,R,R,0.0,0.0,1.0
0,0,0,400,L,L,0.0,1.0,0.0
0,0,0,374,R,R,0.0,0.0,1.0
0,0,0,179,R,L,0.0,0.0,1.0
0,0,0,468,L,B,0.0,1.0,0.0
0,0,0,285,L,L,0.0,1.0,0.0
0,0,0,358,L,L,0.0,1.0,0.0
0,0,0,465,L,L,0.0,1.0,0.0
0,0,0,348,R,R,0.0,0.0,1.0
0,0,0,82,R,R,0.0,0.0,1.0
0,0,0,69,R,R,0.0,0.0,1.0
0,0,0,334,L,L,0.0,1.0,0.0
0,0,0,199,R,R,0.0,0.0,1.0
0,0,0,514,R,R,0.0,0.0,1.0
0,0,0,337,L,L,0.0,1.0,0.0
0,0,0,602,L,L,0.0,1.0,0.0
0,0,0,36,R,R,0.0,0.0,1.0
0,0,0,263,R,R,0.0,0.0,1.0
0,0,0,194,R,R,0.0,0.0,1.0
0,0,0,182,R,B,0.0,0.0,1.0
0,0,0,609,L,L,0.0,1.0,0.0
0,0,0,38,R,R,0.0,0.0,1.0
0,0,0,544,R,R,0.0,0.0,1.0
0,0,0,571,L,L,0.0,1.0,0.0
0,0,0,175,L,L,0.0,1.0,0.0
0,0,0,313,R,R,0.0,0.0,1.0
0,0,0,484,L,L,0.0,1.0,0.0
0,0,0,553,L,L,0.0,1.0,0.0
0,0,0,592,L,L,0.0,1.0,0.0
0,0,0,462,L,L,0.0,1.0,0.0
0,0,0,255,L,L,0.0,1.0,0.0
0,0,0,296,R,R,0.0,0.0,1.0
0,0,0,558,L,L,0.0,1.0,0.0
0,0,0,21,R,R,0.0,0.0,1.0
0,0,0,622,L,L,0.0,1.0,0.0
0,0,0,486,L,L,0.0,1.0,0.0
0,0,0,320,L,L,0.0,1.0,0.0
0,0,0,572,L,B,0.0,1.0,0.0
0,0,0,236,L,L,0.0,1.0,0.0
0,0,0,163,R,R,0.0,0.0,1.0
0,0,0,140,R,R,0.0,0.0,1.0
0,0,0,616,L,L,0.0,1.0,0.0
0,0,0,114,R,R,0.0,0.0,1.0
0,0,0,137,R,R,0.0,0.0,1.0
0,0,0,278,L,L,0.0,1.0,0.0
0,0,0,343,R,R,0.0,0.0,1.0
0,0,0,81,L,B,0.0,1.0,0.0
0,0,0,75,L,L,0.0,1.0,0.0
0,0,0,40,R,R,0.0,0.0,1.0
0,0,0,316,L,L,0.0,1.0,0.0
0,0,0,78,R,B,0.0,0.0,1.0
0,0,0,157,R,R,0.0,0.0,1.0
0,0,0,618,L,L,0.0,1.0,0.0
0,0,0,258,R,R,0.0,0.0,1.0
0,0,0,578,L,L,0.0,1.0,0.0
0,0,0,265,R,R,0.0,0.0,1.0
0,0,0,33,R,R,0.0,0.0,1.0
0,0,0,516,R,R,0.0,0.0,1.0
0,0,0,205,L,L,0.0,1.0,0.0
0,0,0,187,R,R,0.0,0.0,1.0
0,0,0,387,R,R,0.0,0.0,1.0
0,0,0,59,R,R,0.0,0.0,1.0
0,0,0,568,R,R,0.0,0.0,1.0
0,0,0,212,R,R,0.0,0.0,1.0
0,0,0,416,L,B,0.0,1.0,0.0
0,0,0,409,R,R,0.0,0.0,1.0
0,0,0,356,L,L,0.0,1.0,0.0
0,0,0,301,L,L,0.0,1.0,0.0
0,0,0,563,L,L,0.0,1.0,0.0
0,0,0,427,L,L,0.0,1.0,0.0
0,0,0,168,R,R,0.0,0.0,1.0
0,0,0,2,R,R,0.0,0.0,1.0
0,0,0,154,R,R,0.0,0.0,1.0
0,0,0,475,L,L,0.0,1.0,0.0
0,0,0,428,L,L,0.0,1.0,0.0
0,0,0,24,R,R,0.0,0.0,1.0
0,0,0,196,R,R,0.0,0.0,1.0
0,0,0,473,R,R,0.0,0.0,1.0
0,0,0,149,R,R,0.0,0.0,1.0
0,0,0,405,L,L,0.0,1.0,0.0
0,0,0,107,L,R,0.0,1.0,0.0
0,0,0,155,L,L,0.0,1.0,0.0
0,0,0,451,L,L,0.0,1.0,0.0
0,0,0,511,L,R,0.0,1.0,0.0
0,0,0,534,L,B,0.0,1.0,0.0
0,0,0,551,L,L,0.0,1.0,0.0
0,0,0,106,L,L,0.0,1.0,0.0
0,0,0,577,L,L,0.0,1.0,0.0
0,0,0,408,L,B,0.0,1.0,0.0
0,0,0,216,L,B,0.0,1.0,0.0
0,0,0,49,R,R,0.0,0.0,1.0
0,0,0,309,L,R,0.0,1.0,0.0
0,0,0,532,L,L,0.0,1.0,0.0
0,0,0,546,L,B,0.0,1.0,0.0
0,0,0,335,L,L,0.0,1.0,0.0
0,0,0,442,L,B,0.0,1.0,0.0
0,0,0,508,R,R,0.0,0.0,1.0
0,0,0,549,R,R,0.0,0.0,1.0
0,0,0,349,R,R,0.0,0.0,1.0
0,0,0,496,L,L,0.0,1.0,0.0
0,0,0,411,L,L,0.0,1.0,0.0
0,0,0,178,L,L,0.0,1.0,0.0
0,0,0,361,L,L,0.0,1.0,0.0
0,0,0,181,L,L,0.0,1.0,0.0
0,0,0,270,R,R,0.0,0.0,1.0
0,0,0,500,L,L,0.0,1.0,0.0
0,0,0,573,R,R,0.0,0.0,1.0
0,0,0,118,R,R,0.0,0.0,1.0
0,0,0,541,L,L,0.0,1.0,0.0
0,0,0,83,R,R,0.0,0.0,1.0
0,0,0,229,L,L,0.0,1.0,0.0
0,0,0,186,R,B,0.0,0.0,1.0
0,0,0,23,R,R,0.0,0.0,1.0