% Python_3.8.18.
% Sklearn_1.3.2.
% NumPy_1.23.5.
% SciPy_1.10.1.
% Thu Jan 18 12:07:27 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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0,0,0,333,3,3,0.005648390562520859,0.05562470745034795,0.873259087490309,0.0,0.06418288600397273,0.0012849284928492849
0,0,0,418,3,3,0.0004113060428849902,0.00185111669061643,0.9941167696572824,0.0,0.003076619857107662,0.0005441877521085442
0,0,0,65,3,3,0.0,0.0006666666666666666,0.8893333333333334,0.0,0.09,0.02
0,0,0,690,3,3,0.00014814814814814815,0.0008888888888888889,0.992,0.0,0.006814814814814814,0.00014814814814814815
0,0,0,595,3,3,0.0,0.08028687315100358,0.9160767632126329,0.0,0.0036363636363636364,0.0
0,0,0,872,3,3,0.0007462686567164178,0.10780057408107016,0.8905485891934662,0.0,0.0009045680687471732,0.0
0,0,0,823,3,3,0.0008944168048645659,0.09190205314639396,0.9026361347817814,0.0,0.002032466774110667,0.002534928492849285
0,0,0,573,3,3,0.0,0.004857142857142857,0.9951428571428571,0.0,0.0,0.0