9983
19162
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19162
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"}}]
19162
verbose
false
19162
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
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
0
19085
splitter
"best"
19085
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
187.5
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
usercpu_time_millis_training
171.875
wall_clock_time_millis_training
183.9156150817871
wall_clock_time_millis_training
174.89862442016602
wall_clock_time_millis_training
180.8948516845703
wall_clock_time_millis_training
187.87002563476562
wall_clock_time_millis_training
176.8953800201416
wall_clock_time_millis_training
179.89492416381836
wall_clock_time_millis_training
180.87482452392578
wall_clock_time_millis_training
179.89516258239746
wall_clock_time_millis_training
178.8961887359619
wall_clock_time_millis_training
174.8790740966797
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
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
187.5
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
usercpu_time_millis
171.875
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
3.0007362365722656
wall_clock_time_millis_testing
3.0007362365722656
wall_clock_time_millis_testing
3.000974655151367
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis
186.91611289978027
wall_clock_time_millis
177.89840698242188
wall_clock_time_millis
183.89463424682617
wall_clock_time_millis
190.8700466156006
wall_clock_time_millis
179.89492416381836
wall_clock_time_millis
182.89566040039062
wall_clock_time_millis
183.87556076049805
wall_clock_time_millis
182.89613723754883
wall_clock_time_millis
181.89620971679688
wall_clock_time_millis
177.87957191467285
predictive_accuracy
0.8411214953271028
predictive_accuracy
0.8484646194926568
predictive_accuracy
0.8578104138851802
predictive_accuracy
0.8297730307076101
predictive_accuracy
0.8170894526034713
predictive_accuracy
0.8584779706275033
predictive_accuracy
0.8511348464619493
predictive_accuracy
0.8451268357810414
predictive_accuracy
0.8377837116154874
predictive_accuracy
0.8377837116154874