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