115 31006 Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1. memory null 31006 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"}}] 31006 verbose false 31006 copy true 31007 with_mean false 31007 with_std true 31007 algorithm "SAMME.R" 31008 learning_rate 1.0 31008 n_estimators 50 31008 random_state 30381 31008 ccp_alpha 0.0 31009 class_weight null 31009 criterion "gini" 31009 max_depth null 31009 max_features null 31009 max_leaf_nodes null 31009 min_impurity_decrease 0.0 31009 min_impurity_split null 31009 min_samples_leaf 1 31009 min_samples_split 2 31009 min_weight_fraction_leaf 0.0 31009 presort "deprecated" 31009 random_state 60246 31009 splitter "best" 31009 openml-python Sklearn_0.23.1. usercpu_time_millis_training 9.415800000000196 usercpu_time_millis_training 9.46580000000008 usercpu_time_millis_training 9.553499999999993 usercpu_time_millis_training 8.393599999999779 usercpu_time_millis_training 8.624600000000093 usercpu_time_millis_training 8.868300000000495 usercpu_time_millis_training 8.851299999999895 usercpu_time_millis_training 8.99889999999992 usercpu_time_millis_training 9.170299999999187 usercpu_time_millis_training 8.974199999999932 wall_clock_time_millis_training 11.091470718383789 wall_clock_time_millis_training 11.308431625366211 wall_clock_time_millis_training 11.494874954223633 wall_clock_time_millis_training 8.394002914428711 wall_clock_time_millis_training 8.649349212646484 wall_clock_time_millis_training 8.868932723999023 wall_clock_time_millis_training 8.851766586303711 wall_clock_time_millis_training 8.999347686767578 wall_clock_time_millis_training 9.170770645141602 wall_clock_time_millis_training 8.974790573120117 usercpu_time_millis_testing 1.8960000000003419 usercpu_time_millis_testing 2.0502999999996163 usercpu_time_millis_testing 2.062999999999704 usercpu_time_millis_testing 1.8910999999999234 usercpu_time_millis_testing 1.8778999999993218 usercpu_time_millis_testing 1.8986000000005276 usercpu_time_millis_testing 2.045100000000133 usercpu_time_millis_testing 1.990499999999784 usercpu_time_millis_testing 2.0326999999999984 usercpu_time_millis_testing 2.027000000000001 usercpu_time_millis 11.311800000000538 usercpu_time_millis 11.516099999999696 usercpu_time_millis 11.616499999999697 usercpu_time_millis 10.284699999999702 usercpu_time_millis 10.502499999999415 usercpu_time_millis 10.766900000001023 usercpu_time_millis 10.896400000000028 usercpu_time_millis 10.989399999999705 usercpu_time_millis 11.202999999999186 usercpu_time_millis 11.001199999999933 wall_clock_time_millis_testing 2.3162364959716797 wall_clock_time_millis_testing 2.5153160095214844 wall_clock_time_millis_testing 2.548694610595703 wall_clock_time_millis_testing 1.893758773803711 wall_clock_time_millis_testing 1.8808841705322266 wall_clock_time_millis_testing 1.9011497497558594 wall_clock_time_millis_testing 2.7277469635009766 wall_clock_time_millis_testing 1.992940902709961 wall_clock_time_millis_testing 2.0351409912109375 wall_clock_time_millis_testing 2.0296573638916016 wall_clock_time_millis 13.407707214355469 wall_clock_time_millis 13.823747634887695 wall_clock_time_millis 14.043569564819336 wall_clock_time_millis 10.287761688232422 wall_clock_time_millis 10.530233383178711 wall_clock_time_millis 10.770082473754883 wall_clock_time_millis 11.579513549804688 wall_clock_time_millis 10.992288589477539 wall_clock_time_millis 11.205911636352539 wall_clock_time_millis 11.004447937011719 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.6883116883116883 predictive_accuracy 0.6493506493506493 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7662337662337663 predictive_accuracy 0.6753246753246753 predictive_accuracy 0.7272727272727273 predictive_accuracy 0.6710526315789473 predictive_accuracy 0.6710526315789473