% Python_3.8.8. % Sklearn_1.2.2. % NumPy_1.24.4. % SciPy_1.10.1. % Thu Jun 29 23:02:53 2023 % 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 {A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z} @ATTRIBUTE correct {A, B, C, D, E, F, G, H, I, J, K, L, M, N, O, P, Q, R, S, T, U, V, W, X, Y, Z} @ATTRIBUTE confidence.A NUMERIC @ATTRIBUTE confidence.B NUMERIC @ATTRIBUTE confidence.C NUMERIC @ATTRIBUTE confidence.D NUMERIC @ATTRIBUTE confidence.E NUMERIC @ATTRIBUTE confidence.F NUMERIC @ATTRIBUTE confidence.G NUMERIC @ATTRIBUTE confidence.H NUMERIC @ATTRIBUTE confidence.I NUMERIC @ATTRIBUTE confidence.J NUMERIC @ATTRIBUTE confidence.K NUMERIC @ATTRIBUTE confidence.L NUMERIC @ATTRIBUTE confidence.M NUMERIC @ATTRIBUTE confidence.N NUMERIC @ATTRIBUTE confidence.O NUMERIC @ATTRIBUTE confidence.P NUMERIC @ATTRIBUTE confidence.Q NUMERIC @ATTRIBUTE confidence.R NUMERIC @ATTRIBUTE confidence.S NUMERIC @ATTRIBUTE confidence.T NUMERIC @ATTRIBUTE confidence.U NUMERIC @ATTRIBUTE confidence.V NUMERIC @ATTRIBUTE confidence.W NUMERIC @ATTRIBUTE confidence.X NUMERIC @ATTRIBUTE confidence.Y NUMERIC @ATTRIBUTE confidence.Z NUMERIC @DATA 0,0,0,5290,I,I,0.04404509285152343,0.014092418775798733,0.03685246739861414,0.025491009661817766,0.035530003970734,0.045819109981181695,0.01329207738890241,0.025543261901113237,0.12908906519989646,0.10891426582055917,0.021477882340065462,0.10507355554967214,0.039716452855141,0.04120939470907702,0.014922310650213367,0.030390033616519454,0.0052681879689320255,0.0068529914257935065,0.032915832032550316,0.05404612953895431,0.022375927831160547,0.014158013487635328,0.009997954338937168,0.0211482173292652,0.03937840737822665,0.0623999359977154 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