% Python_3.8.18. % Sklearn_1.3.2. % NumPy_1.23.5. % SciPy_1.10.1. % Wed Jul 3 09:46:47 2024 % Created by run_flow_on_task @RELATION openml_task_119_predictions @ATTRIBUTE repeat NUMERIC @ATTRIBUTE fold NUMERIC @ATTRIBUTE sample NUMERIC @ATTRIBUTE row_id NUMERIC @ATTRIBUTE prediction {tested_negative, tested_positive} @ATTRIBUTE correct {tested_negative, tested_positive} @ATTRIBUTE confidence.tested_negative NUMERIC @ATTRIBUTE confidence.tested_positive NUMERIC @DATA 0,0,0,53,tested_positive,tested_positive,0.23,0.77 0,0,0,455,tested_positive,tested_positive,0.39,0.61 0,0,0,101,tested_negative,tested_negative,0.81,0.19 0,0,0,57,tested_positive,tested_negative,0.46,0.54 0,0,0,363,tested_positive,tested_positive,0.46,0.54 0,0,0,16,tested_positive,tested_positive,0.41,0.59 0,0,0,496,tested_negative,tested_negative,0.81,0.19 0,0,0,271,tested_negative,tested_negative,0.96,0.04 0,0,0,511,tested_negative,tested_negative,0.91,0.09 0,0,0,280,tested_positive,tested_positive,0.36,0.64 0,0,0,88,tested_positive,tested_positive,0.42,0.58 0,0,0,270,tested_negative,tested_positive,0.51,0.49 0,0,0,210,tested_negative,tested_negative,0.95,0.05 0,0,0,665,tested_negative,tested_negative,0.97,0.03 0,0,0,156,tested_negative,tested_negative,0.99,0.01 0,0,0,360,tested_positive,tested_positive,0.21,0.79 0,0,0,323,tested_negative,tested_positive,0.5,0.5 0,0,0,528,tested_negative,tested_negative,0.86,0.14 0,0,0,113,tested_negative,tested_negative,0.89,0.11 0,0,0,96,tested_negative,tested_negative,0.95,0.05 0,0,0,107,tested_negative,tested_negative,0.53,0.47 0,0,0,166,tested_negative,tested_negative,0.74,0.26 0,0,0,413,tested_negative,tested_negative,0.87,0.13 0,0,0,565,tested_negative,tested_negative,0.97,0.03 0,0,0,251,tested_negative,tested_negative,0.76,0.24 0,0,0,339,tested_positive,tested_positive,0.15,0.85 0,0,0,317,tested_positive,tested_positive,0.34,0.66 0,0,0,564,tested_negative,tested_negative,0.86,0.14 0,0,0,707,tested_negative,tested_negative,0.78,0.22 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