% Python_3.8.18. % Sklearn_1.3.2. % NumPy_1.24.4. % SciPy_1.10.1. % Thu Oct 17 16:11:37 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,0.16,0.84 0,0,0,455,tested_positive,tested_positive,0.38,0.62 0,0,0,101,tested_negative,tested_negative,0.83,0.17 0,0,0,57,tested_negative,tested_negative,0.55,0.45 0,0,0,363,tested_positive,tested_positive,0.37,0.63 0,0,0,16,tested_positive,tested_positive,0.41,0.59 0,0,0,496,tested_negative,tested_negative,0.86,0.14 0,0,0,271,tested_negative,tested_negative,0.92,0.08 0,0,0,511,tested_negative,tested_negative,0.89,0.11 0,0,0,280,tested_positive,tested_positive,0.39,0.61 0,0,0,88,tested_positive,tested_positive,0.48,0.52 0,0,0,270,tested_positive,tested_positive,0.49,0.51 0,0,0,210,tested_negative,tested_negative,0.97,0.03 0,0,0,665,tested_negative,tested_negative,0.94,0.06 0,0,0,156,tested_negative,tested_negative,0.99,0.01 0,0,0,360,tested_positive,tested_positive,0.29,0.71 0,0,0,323,tested_negative,tested_positive,0.53,0.47 0,0,0,528,tested_negative,tested_negative,0.87,0.13 0,0,0,113,tested_negative,tested_negative,0.98,0.02 0,0,0,96,tested_negative,tested_negative,0.95,0.05 0,0,0,107,tested_positive,tested_negative,0.49,0.51 0,0,0,166,tested_negative,tested_negative,0.77,0.23 0,0,0,413,tested_negative,tested_negative,0.87,0.13 0,0,0,565,tested_negative,tested_negative,0.98,0.02 0,0,0,251,tested_negative,tested_negative,0.64,0.36 0,0,0,339,tested_positive,tested_positive,0.13,0.87 0,0,0,317,tested_positive,tested_positive,0.36,0.64 0,0,0,564,tested_negative,tested_negative,0.85,0.15 0,0,0,707,tested_negative,tested_negative,0.71,0.29 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