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
19665
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
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
187.5
wall_clock_time_millis_training
184.89432334899902
wall_clock_time_millis_training
183.9134693145752
wall_clock_time_millis_training
190.89198112487793
wall_clock_time_millis_training
179.8996925354004
wall_clock_time_millis_training
182.89446830749512
wall_clock_time_millis_training
183.89153480529785
wall_clock_time_millis_training
185.89258193969727
wall_clock_time_millis_training
186.86985969543457
wall_clock_time_millis_training
176.89824104309082
wall_clock_time_millis_training
179.89659309387207
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
15.625
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
187.5
usercpu_time_millis
187.5
usercpu_time_millis
203.125
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
171.875
usercpu_time_millis
187.5
wall_clock_time_millis_testing
3.001689910888672
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
3.0014514923095703
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis
187.8960132598877
wall_clock_time_millis
186.91182136535645
wall_clock_time_millis
192.89135932922363
wall_clock_time_millis
181.8983554840088
wall_clock_time_millis
185.8959197998047
wall_clock_time_millis
185.89115142822266
wall_clock_time_millis
187.89219856262207
wall_clock_time_millis
188.86995315551758
wall_clock_time_millis
179.89873886108398
wall_clock_time_millis
182.89494514465332
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.7012987012987013
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.8181818181818182
predictive_accuracy
0.7763157894736842
predictive_accuracy
0.7105263157894737