115
352
Python_3.8.18. Sklearn_0.24.0. NumPy_1.24.4. SciPy_1.10.1.
memory
null
352
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"}}]
352
verbose
false
352
copy
true
354
with_mean
false
354
with_std
true
354
algorithm
"SAMME.R"
355
learning_rate
1.0
355
n_estimators
50
355
random_state
19487
355
ccp_alpha
0.0
356
class_weight
null
356
criterion
"gini"
356
max_depth
null
356
max_features
null
356
max_leaf_nodes
null
356
min_impurity_decrease
0.0
356
min_impurity_split
null
356
min_samples_leaf
1
356
min_samples_split
2
356
min_weight_fraction_leaf
0.0
356
random_state
14953
356
splitter
"best"
356
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
6.628100000000359
usercpu_time_millis_training
6.1507000000000644
usercpu_time_millis_training
6.281000000000425
usercpu_time_millis_training
5.976399999999771
usercpu_time_millis_training
5.833500000000491
usercpu_time_millis_training
5.984699999999954
usercpu_time_millis_training
5.911299999999287
usercpu_time_millis_training
5.795199999999667
usercpu_time_millis_training
5.846000000000018
usercpu_time_millis_training
5.731400000000164
wall_clock_time_millis_training
6.625652313232422
wall_clock_time_millis_training
6.150960922241211
wall_clock_time_millis_training
6.281375885009766
wall_clock_time_millis_training
5.97691535949707
wall_clock_time_millis_training
5.835056304931641
wall_clock_time_millis_training
5.985260009765625
wall_clock_time_millis_training
5.912065505981445
wall_clock_time_millis_training
5.795717239379883
wall_clock_time_millis_training
5.846738815307617
wall_clock_time_millis_training
5.731821060180664
usercpu_time_millis_testing
1.247299999999285
usercpu_time_millis_testing
1.342999999999428
usercpu_time_millis_testing
1.2569999999998416
usercpu_time_millis_testing
1.1482000000002657
usercpu_time_millis_testing
1.2895000000003876
usercpu_time_millis_testing
1.1986000000003827
usercpu_time_millis_testing
1.2339000000007871
usercpu_time_millis_testing
1.1369999999999436
usercpu_time_millis_testing
1.1828999999998757
usercpu_time_millis_testing
1.1337000000004593
usercpu_time_millis
7.875399999999644
usercpu_time_millis
7.493699999999492
usercpu_time_millis
7.538000000000267
usercpu_time_millis
7.1246000000000365
usercpu_time_millis
7.123000000000879
usercpu_time_millis
7.183300000000337
usercpu_time_millis
7.145200000000074
usercpu_time_millis
6.932199999999611
usercpu_time_millis
7.028899999999894
usercpu_time_millis
6.8651000000006235
wall_clock_time_millis_testing
1.249551773071289
wall_clock_time_millis_testing
1.3451576232910156
wall_clock_time_millis_testing
1.2590885162353516
wall_clock_time_millis_testing
1.150369644165039
wall_clock_time_millis_testing
1.2912750244140625
wall_clock_time_millis_testing
1.2009143829345703
wall_clock_time_millis_testing
1.2357234954833984
wall_clock_time_millis_testing
1.138925552368164
wall_clock_time_millis_testing
1.1851787567138672
wall_clock_time_millis_testing
1.1355876922607422
wall_clock_time_millis
7.875204086303711
wall_clock_time_millis
7.496118545532227
wall_clock_time_millis
7.540464401245117
wall_clock_time_millis
7.127285003662109
wall_clock_time_millis
7.126331329345703
wall_clock_time_millis
7.186174392700195
wall_clock_time_millis
7.147789001464844
wall_clock_time_millis
6.934642791748047
wall_clock_time_millis
7.031917572021484
wall_clock_time_millis
6.867408752441406
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.6103896103896104
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7402597402597403
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7402597402597403
predictive_accuracy
0.6842105263157895
predictive_accuracy
0.6842105263157895