119 30601 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. cv 3 30601 error_score NaN 30601 iid "deprecated" 30601 n_jobs null 30601 param_grid {"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]} 30601 pre_dispatch "2*n_jobs" 30601 refit true 30601 return_train_score false 30601 scoring null 30601 verbose 0 30601 bootstrap true 30602 bootstrap_features false 30602 max_features 1.0 30602 max_samples 1.0 30602 n_estimators 10 30602 n_jobs null 30602 oob_score false 30602 random_state 33003 30602 verbose 0 30602 warm_start false 30602 C 1.0 30603 break_ties false 30603 cache_size 200 30603 class_weight null 30603 coef0 0.0 30603 decision_function_shape "ovr" 30603 degree 3 30603 gamma "scale" 30603 kernel "rbf" 30603 max_iter -1 30603 probability false 30603 random_state 62501 30603 shrinking true 30603 tol 0.001 30603 verbose false 30603 openml-python Sklearn_0.23.1. usercpu_time_millis_training 1456.0676000000115 wall_clock_time_millis_training 1456.4800262451172 usercpu_time_millis_testing 18.54860000000258 usercpu_time_millis 1474.616200000014 wall_clock_time_millis_testing 18.556594848632812 wall_clock_time_millis 1524.583101272583 predictive_accuracy 0.6482213438735178