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