% Python_3.8.18. % Sklearn_1.3.2. % NumPy_1.24.4. % SciPy_1.10.1. % Tue Nov 5 07:57:57 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,0.2,0.8 0,0,0,317,tested_positive,tested_positive,0.2,0.8 0,0,0,4,tested_positive,tested_positive,0.4,0.6 0,0,0,8,tested_positive,tested_positive,0.2,0.8 0,0,0,192,tested_positive,tested_positive,0.2,0.8 0,0,0,261,tested_positive,tested_positive,0.0,1.0 0,0,0,111,tested_positive,tested_positive,0.2,0.8 0,0,0,378,tested_positive,tested_positive,0.0,1.0 0,0,0,326,tested_negative,tested_positive,0.6,0.4 0,0,0,676,tested_positive,tested_positive,0.2,0.8 0,0,0,179,tested_negative,tested_positive,0.6,0.4 0,0,0,675,tested_positive,tested_positive,0.2,0.8 0,0,0,209,tested_positive,tested_positive,0.2,0.8 0,0,0,369,tested_positive,tested_positive,0.4,0.6 0,0,0,612,tested_positive,tested_positive,0.4,0.6 0,0,0,198,tested_negative,tested_positive,0.8,0.2 0,0,0,132,tested_positive,tested_positive,0.2,0.8 0,0,0,231,tested_negative,tested_positive,0.6,0.4 0,0,0,154,tested_positive,tested_positive,0.4,0.6 0,0,0,125,tested_negative,tested_positive,0.8,0.2 0,0,0,510,tested_positive,tested_positive,0.4,0.6 0,0,0,748,tested_positive,tested_positive,0.0,1.0 0,0,0,388,tested_negative,tested_positive,0.8,0.2 0,0,0,221,tested_negative,tested_positive,0.6,0.4 0,0,0,458,tested_negative,tested_positive,0.6,0.4 0,0,0,301,tested_negative,tested_positive,0.8,0.2 0,0,0,303,tested_negative,tested_positive,0.6,0.4 0,0,0,10,tested_negative,tested_negative,0.8,0.2 0,0,0,684,tested_negative,tested_negative,0.6,0.4 0,0,0,670,tested_positive,tested_negative,0.0,1.0 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