% Python_3.8.18. % Sklearn_1.3.2. % NumPy_1.24.4. % SciPy_1.10.1. % Mon Nov 4 21:05:35 2024 % Created by run_flow_on_task @RELATION openml_task_115_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,0.17,0.83 0,0,0,317,tested_positive,tested_positive,0.21,0.79 0,0,0,4,tested_positive,tested_positive,0.35,0.65 0,0,0,8,tested_positive,tested_positive,0.29,0.71 0,0,0,192,tested_positive,tested_positive,0.37,0.63 0,0,0,261,tested_positive,tested_positive,0.43,0.57 0,0,0,111,tested_positive,tested_positive,0.2,0.8 0,0,0,378,tested_positive,tested_positive,0.3,0.7 0,0,0,326,tested_negative,tested_positive,0.64,0.36 0,0,0,676,tested_negative,tested_positive,0.67,0.33 0,0,0,179,tested_positive,tested_positive,0.41,0.59 0,0,0,675,tested_positive,tested_positive,0.21,0.79 0,0,0,209,tested_positive,tested_positive,0.23,0.77 0,0,0,369,tested_negative,tested_positive,0.55,0.45 0,0,0,612,tested_positive,tested_positive,0.14,0.86 0,0,0,198,tested_negative,tested_positive,0.62,0.38 0,0,0,132,tested_positive,tested_positive,0.16,0.84 0,0,0,231,tested_negative,tested_positive,0.54,0.46 0,0,0,154,tested_positive,tested_positive,0.25,0.75 0,0,0,125,tested_negative,tested_positive,0.61,0.39 0,0,0,510,tested_negative,tested_positive,0.75,0.25 0,0,0,748,tested_positive,tested_positive,0.09,0.91 0,0,0,388,tested_positive,tested_positive,0.44,0.56 0,0,0,221,tested_positive,tested_positive,0.37,0.63 0,0,0,458,tested_positive,tested_positive,0.15,0.85 0,0,0,301,tested_negative,tested_positive,0.58,0.42 0,0,0,303,tested_negative,tested_positive,0.5,0.5 0,0,0,10,tested_negative,tested_negative,0.91,0.09 0,0,0,684,tested_negative,tested_negative,0.78,0.22 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