119 34980 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. cv 3 34980 error_score NaN 34980 iid "deprecated" 34980 n_jobs null 34980 param_grid {"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]} 34980 pre_dispatch "2*n_jobs" 34980 refit true 34980 return_train_score false 34980 scoring null 34980 verbose 0 34980 bootstrap true 34981 bootstrap_features false 34981 max_features 1.0 34981 max_samples 1.0 34981 n_estimators 10 34981 n_jobs null 34981 oob_score false 34981 random_state 33003 34981 verbose 0 34981 warm_start false 34981 C 1.0 34982 break_ties false 34982 cache_size 200 34982 class_weight null 34982 coef0 0.0 34982 decision_function_shape "ovr" 34982 degree 3 34982 gamma "scale" 34982 kernel "rbf" 34982 max_iter -1 34982 probability false 34982 random_state 62501 34982 shrinking true 34982 tol 0.001 34982 verbose false 34982 openml-python Sklearn_0.23.1. usercpu_time_millis_training 1499.5305000000058 wall_clock_time_millis_training 1499.704360961914 usercpu_time_millis_testing 18.35619999999949 usercpu_time_millis 1517.8867000000052 wall_clock_time_millis_testing 18.361568450927734 wall_clock_time_millis 1567.483901977539 predictive_accuracy 0.6482213438735178