115 30985 Python_3.8.18. Sklearn_0.24.0. NumPy_1.24.4. SciPy_1.10.1. memory null 30985 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "boosting", "step_name": "boosting"}}] 30985 verbose false 30985 copy true 30986 with_mean false 30986 with_std true 30986 algorithm "SAMME.R" 30987 learning_rate 1.0 30987 n_estimators 50 30987 random_state 34260 30987 ccp_alpha 0.0 30988 class_weight null 30988 criterion "gini" 30988 max_depth null 30988 max_features null 30988 max_leaf_nodes null 30988 min_impurity_decrease 0.0 30988 min_impurity_split null 30988 min_samples_leaf 1 30988 min_samples_split 2 30988 min_weight_fraction_leaf 0.0 30988 random_state 16342 30988 splitter "best" 30988 openml-python Sklearn_0.24.0. usercpu_time_millis_training 8.819199999999583 usercpu_time_millis_training 8.55180000000022 usercpu_time_millis_training 6.632800000000216 usercpu_time_millis_training 5.953300000000716 usercpu_time_millis_training 5.732099999999463 usercpu_time_millis_training 6.020099999999751 usercpu_time_millis_training 6.033999999999651 usercpu_time_millis_training 5.894099999999902 usercpu_time_millis_training 5.9667000000001025 usercpu_time_millis_training 5.7501999999995945 wall_clock_time_millis_training 8.817672729492188 wall_clock_time_millis_training 8.55255126953125 wall_clock_time_millis_training 6.633281707763672 wall_clock_time_millis_training 5.953788757324219 wall_clock_time_millis_training 5.73277473449707 wall_clock_time_millis_training 6.020545959472656 wall_clock_time_millis_training 6.034612655639648 wall_clock_time_millis_training 5.894660949707031 wall_clock_time_millis_training 5.967378616333008 wall_clock_time_millis_training 5.7506561279296875 usercpu_time_millis_testing 1.8060000000001963 usercpu_time_millis_testing 1.69499999999978 usercpu_time_millis_testing 1.148599999999611 usercpu_time_millis_testing 1.2116999999998157 usercpu_time_millis_testing 1.162199999999558 usercpu_time_millis_testing 1.172599999999413 usercpu_time_millis_testing 1.2028000000006145 usercpu_time_millis_testing 1.1684999999994616 usercpu_time_millis_testing 1.1779999999994573 usercpu_time_millis_testing 1.19040000000048 usercpu_time_millis 10.62519999999978 usercpu_time_millis 10.2468 usercpu_time_millis 7.781399999999827 usercpu_time_millis 7.165000000000532 usercpu_time_millis 6.894299999999021 usercpu_time_millis 7.192699999999164 usercpu_time_millis 7.236800000000265 usercpu_time_millis 7.062599999999364 usercpu_time_millis 7.14469999999956 usercpu_time_millis 6.9406000000000745 wall_clock_time_millis_testing 1.806497573852539 wall_clock_time_millis_testing 1.6973018646240234 wall_clock_time_millis_testing 1.1506080627441406 wall_clock_time_millis_testing 1.2137889862060547 wall_clock_time_millis_testing 1.1641979217529297 wall_clock_time_millis_testing 1.1744499206542969 wall_clock_time_millis_testing 1.2047290802001953 wall_clock_time_millis_testing 1.1703968048095703 wall_clock_time_millis_testing 1.1799335479736328 wall_clock_time_millis_testing 1.1925697326660156 wall_clock_time_millis 10.624170303344727 wall_clock_time_millis 10.249853134155273 wall_clock_time_millis 7.7838897705078125 wall_clock_time_millis 7.167577743530273 wall_clock_time_millis 6.89697265625 wall_clock_time_millis 7.194995880126953 wall_clock_time_millis 7.239341735839844 wall_clock_time_millis 7.065057754516602 wall_clock_time_millis 7.147312164306641 wall_clock_time_millis 6.943225860595703 predictive_accuracy 0.7402597402597403 predictive_accuracy 0.6233766233766234 predictive_accuracy 0.5974025974025974 predictive_accuracy 0.7792207792207793 predictive_accuracy 0.6623376623376623 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7402597402597403 predictive_accuracy 0.6973684210526315 predictive_accuracy 0.6710526315789473