% Python_3.8.18.
% Sklearn_1.3.2.
% NumPy_1.23.5.
% SciPy_1.10.1.
% Thu Jan 18 11:46:54 2024
% Created by run_flow_on_task
@RELATION openml_task_6_predictions

@ATTRIBUTE repeat NUMERIC
@ATTRIBUTE fold NUMERIC
@ATTRIBUTE sample NUMERIC
@ATTRIBUTE row_id NUMERIC
@ATTRIBUTE prediction {1, 2, 3, 4, 5, U}
@ATTRIBUTE correct {1, 2, 3, 4, 5, U}
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC
@ATTRIBUTE confidence.4 NUMERIC
@ATTRIBUTE confidence.5 NUMERIC
@ATTRIBUTE confidence.U NUMERIC

@DATA
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0,0,0,333,3,3,0.018726399288648284,0.07754540384973205,0.8361276881144546,0.0,0.06565911680577315,0.0019413919413919412
0,0,0,418,3,3,0.0014285714285714286,0.0030738979330528628,0.9911901713310165,0.0,0.0026406926406926405,0.0016666666666666666
0,0,0,65,3,3,0.0,0.003953634085213032,0.9354213659147868,0.0,0.060625,0.0
0,0,0,690,3,3,0.0011603607201091477,0.008590411295070231,0.988990035279087,0.0,0.001259192705733586,0.0
0,0,0,595,3,3,0.0,0.09087361706312143,0.9075831730603352,0.0,0.0015432098765432098,0.0
0,0,0,872,3,3,0.0,0.15817344638660086,0.8412709980578436,0.0,0.0005555555555555556,0.0
0,0,0,823,3,3,0.002020389249304912,0.06307142650657797,0.9340086324013402,0.0,0.0008995518427767973,0.0
0,0,0,573,3,3,0.0,0.004401650997707226,0.9955983490022927,0.0,0.0,0.0