% Python_3.8.18.
% Sklearn_1.3.2.
% NumPy_1.23.5.
% SciPy_1.10.1.
% Mon Mar 18 20:28:09 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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0,0,0,301,3,3,0.0,0.02362314852760377,0.9763768514723963,0.0,0.0,0.0
0,0,0,67,2,2,0.0,0.8847741396636686,0.1152258603363314,0.0,0.0,0.0
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0,0,0,330,U,U,0.02,0.0,0.08,0.0,0.0,0.9
0,0,0,841,3,3,0.0,0.006428571428571428,0.9935714285714287,0.0,0.0,0.0
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0,0,0,418,3,3,0.002198339295113489,0.005941235408756177,0.9857165753160683,0.0,0.005937664413051772,0.00020618556701030926
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0,0,0,690,3,3,0.001781996120539773,0.00043409806567701304,0.9796098831151703,0.0,0.01817402269861286,0.0
0,0,0,595,3,3,0.0011070896316797956,0.12890723865511933,0.8620500035562212,0.0,0.007935668156979632,0.0
0,0,0,872,3,3,0.0003278688524590164,0.0823802385520215,0.9135254506815523,0.0,0.0037664419139669812,0.0
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