% Python_3.8.18. % Sklearn_1.3.2. % NumPy_1.23.5. % SciPy_1.10.1. % Thu Oct 17 15:20:43 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 0,0,0,412,U,U,0.0,0.0,0.08711904761904762,0.0,0.0,0.9128809523809523 0,0,0,461,3,3,0.0,0.002857142857142857,0.959266499582289,0.0,0.03327318295739348,0.004603174603174603 0,0,0,559,3,3,0.0,0.06955082924284302,0.9152471505551367,0.0,0.0016666666666666666,0.013535353535353534 0,0,0,876,3,3,0.0,0.0,0.84,0.0,0.08,0.08 0,0,0,710,3,3,0.0,0.026809656038215612,0.9731903439617844,0.0,0.0,0.0 0,0,0,306,3,3,0.0,0.0025,0.9975,0.0,0.0,0.0 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0,0,0,595,3,3,0.0,0.11568276928106648,0.8821068920380065,0.0,0.0022103386809269165,0.0 0,0,0,872,3,3,0.0,0.11796395798189026,0.8814418649533444,0.0,0.000392156862745098,0.00020202020202020205 0,0,0,823,3,3,0.0006820119352088662,0.04886412010069299,0.9466956316994678,0.0,0.0035562160626099243,0.00020202020202020205 0,0,0,573,3,3,0.0,0.0025,0.9975,0.0,0.0,0.0