9983
19174
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19174
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}]
19174
verbose
false
19174
memory
null
19156
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}]
19156
verbose
false
19156
add_indicator
false
19084
copy
true
19084
fill_value
null
19084
missing_values
NaN
19084
strategy
"mean"
19084
verbose
0
19084
copy
true
19075
with_mean
true
19075
with_std
true
19075
categorical_features
null
19175
early_stopping
"auto"
19175
l2_regularization
0.0
19175
learning_rate
0.1
19175
loss
"auto"
19175
max_bins
255
19175
max_depth
null
19175
max_iter
100
19175
max_leaf_nodes
31
19175
min_samples_leaf
20
19175
monotonic_cst
null
19175
n_iter_no_change
10
19175
random_state
9210
19175
scoring
"loss"
19175
tol
1e-07
19175
validation_fraction
0.1
19175
verbose
0
19175
warm_start
false
19175
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
4812.5
usercpu_time_millis_training
5265.625
usercpu_time_millis_training
5046.875
usercpu_time_millis_training
5343.75
usercpu_time_millis_training
5312.5
usercpu_time_millis_training
5296.875
usercpu_time_millis_training
5531.25
usercpu_time_millis_training
5062.5
usercpu_time_millis_training
4921.875
usercpu_time_millis_training
4984.375
wall_clock_time_millis_training
2362.645149230957
wall_clock_time_millis_training
1876.9254684448242
wall_clock_time_millis_training
2286.688804626465
wall_clock_time_millis_training
1711.0183238983154
wall_clock_time_millis_training
1736.0048294067383
wall_clock_time_millis_training
1725.0118255615234
wall_clock_time_millis_training
1722.012996673584
wall_clock_time_millis_training
1761.9903087615967
wall_clock_time_millis_training
1789.973497390747
wall_clock_time_millis_training
2367.6421642303467
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
46.875
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
125.0
usercpu_time_millis_testing
62.5
usercpu_time_millis_testing
93.75
usercpu_time_millis_testing
46.875
usercpu_time_millis
4859.375
usercpu_time_millis
5328.125
usercpu_time_millis
5109.375
usercpu_time_millis
5437.5
usercpu_time_millis
5359.375
usercpu_time_millis
5359.375
usercpu_time_millis
5656.25
usercpu_time_millis
5125.0
usercpu_time_millis
5015.625
usercpu_time_millis
5031.25
wall_clock_time_millis_testing
20.98703384399414
wall_clock_time_millis_testing
19.98758316040039
wall_clock_time_millis_testing
18.98813247680664
wall_clock_time_millis_testing
18.98956298828125
wall_clock_time_millis_testing
21.988630294799805
wall_clock_time_millis_testing
21.987438201904297
wall_clock_time_millis_testing
20.987272262573242
wall_clock_time_millis_testing
18.98813247680664
wall_clock_time_millis_testing
32.981157302856445
wall_clock_time_millis_testing
18.988847732543945
wall_clock_time_millis
2383.632183074951
wall_clock_time_millis
1896.9130516052246
wall_clock_time_millis
2305.6769371032715
wall_clock_time_millis
1730.0078868865967
wall_clock_time_millis
1757.993459701538
wall_clock_time_millis
1746.9992637634277
wall_clock_time_millis
1743.0002689361572
wall_clock_time_millis
1780.9784412384033
wall_clock_time_millis
1822.9546546936035
wall_clock_time_millis
2386.6310119628906
predictive_accuracy
0.9132176234979973
predictive_accuracy
0.897196261682243
predictive_accuracy
0.9118825100133512
predictive_accuracy
0.8945260347129506
predictive_accuracy
0.9098798397863819
predictive_accuracy
0.8998664886515354
predictive_accuracy
0.9158878504672897
predictive_accuracy
0.8945260347129506
predictive_accuracy
0.9058744993324432
predictive_accuracy
0.9005340453938585