% Python_3.9.16.
% Sklearn_1.2.2.
% NumPy_1.22.4.
% SciPy_1.10.1.
% Thu Mar 23 05:19:47 2023
% 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 {1, 2, 3}
@ATTRIBUTE correct {1, 2, 3}
@ATTRIBUTE confidence.1 NUMERIC
@ATTRIBUTE confidence.2 NUMERIC
@ATTRIBUTE confidence.3 NUMERIC

@DATA
0,0,0,1137,3,1,0.02,0.13,0.85
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0,0,0,271,3,1,0.315,0.23,0.455
0,0,0,247,3,1,0.16,0.05,0.79
0,0,0,260,1,1,0.74,0.05,0.21
0,0,0,1103,2,1,0.15,0.8,0.05
0,0,0,1185,1,1,0.485,0.085,0.43
0,0,0,39,3,1,0.3,0.04,0.66
0,0,0,340,3,1,0.075,0.0,0.925
0,0,0,1016,1,1,1.0,0.0,0.0
0,0,0,176,1,1,1.0,0.0,0.0
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0,0,0,333,1,1,0.97,0.03,0.0
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0,0,0,1050,3,1,0.0,0.0,1.0
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0,0,0,895,1,3,0.355,0.35,0.295
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0,0,0,1357,3,3,0.15,0.05,0.8
0,0,0,790,1,3,0.89,0.0,0.11
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0,0,0,1426,3,3,0.42,0.0,0.58
0,0,0,1389,2,3,0.0,0.97,0.03
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0,0,0,670,1,3,0.83,0.06,0.11
0,0,0,802,1,3,0.41,0.36,0.23
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0,0,0,625,3,2,0.01,0.14,0.85
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