37
19170
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19170
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"}}]
19170
verbose
false
19170
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
ccp_alpha
0.0
19171
criterion
"friedman_mse"
19171
init
null
19171
learning_rate
0.1
19171
loss
"deviance"
19171
max_depth
3
19171
max_features
null
19171
max_leaf_nodes
null
19171
min_impurity_decrease
0.0
19171
min_samples_leaf
1
19171
min_samples_split
2
19171
min_weight_fraction_leaf
0.0
19171
n_estimators
100
19171
n_iter_no_change
null
19171
random_state
0
19171
subsample
1.0
19171
tol
0.0001
19171
validation_fraction
0.1
19171
verbose
0
19171
warm_start
false
19171
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
218.75
usercpu_time_millis_training
218.75
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
203.125
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
203.125
usercpu_time_millis_training
187.5
wall_clock_time_millis_training
210.85834503173828
wall_clock_time_millis_training
304.80265617370605
wall_clock_time_millis_training
179.89253997802734
wall_clock_time_millis_training
184.91554260253906
wall_clock_time_millis_training
181.91790580749512
wall_clock_time_millis_training
203.88317108154297
wall_clock_time_millis_training
194.8854923248291
wall_clock_time_millis_training
191.8933391571045
wall_clock_time_millis_training
187.9112720489502
wall_clock_time_millis_training
190.91200828552246
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
218.75
usercpu_time_millis
218.75
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
187.5
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
2.0036697387695312
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
2.9993057250976562
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
2.0003318786621094
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis
215.85607528686523
wall_clock_time_millis
306.8063259124756
wall_clock_time_millis
181.89239501953125
wall_clock_time_millis
186.91492080688477
wall_clock_time_millis
184.91721153259277
wall_clock_time_millis
206.88271522521973
wall_clock_time_millis
196.8858242034912
wall_clock_time_millis
194.89336013793945
wall_clock_time_millis
189.9104118347168
wall_clock_time_millis
193.9108371734619
predictive_accuracy
0.8701298701298701
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7402597402597403
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818182
predictive_accuracy
0.7763157894736842
predictive_accuracy
0.7105263157894737