119 13803 Python_3.9.13. Sklearn_0.24.2. NumPy_1.26.3. SciPy_1.10.0. cv 3 13803 error_score NaN 13803 n_jobs null 13803 param_grid {"base_estimator__C": [0.01, 0.1, 10], "base_estimator__gamma": [0.01, 0.1, 10]} 13803 pre_dispatch "2*n_jobs" 13803 refit true 13803 return_train_score false 13803 scoring null 13803 verbose 0 13803 bootstrap true 13804 bootstrap_features false 13804 max_features 1.0 13804 max_samples 1.0 13804 n_estimators 10 13804 n_jobs null 13804 oob_score false 13804 random_state 33003 13804 verbose 0 13804 warm_start false 13804 C 1.0 13805 break_ties false 13805 cache_size 200 13805 class_weight null 13805 coef0 0.0 13805 decision_function_shape "ovr" 13805 degree 3 13805 gamma "scale" 13805 kernel "rbf" 13805 max_iter -1 13805 probability false 13805 random_state 62501 13805 shrinking true 13805 tol 0.001 13805 verbose false 13805 openml-python Sklearn_0.24.2. usercpu_time_millis_training 2296.875 wall_clock_time_millis_training 2298.0904579162598 usercpu_time_millis_testing 62.5 usercpu_time_millis 2359.375 wall_clock_time_millis_testing 62.51788139343262 wall_clock_time_millis 2423.1128692626953 predictive_accuracy 0.6482213438735178