3954
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
41817
19085
splitter
"best"
19085
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
375.0
usercpu_time_millis_training
406.25
usercpu_time_millis_training
375.0
usercpu_time_millis_training
359.375
usercpu_time_millis_training
375.0
usercpu_time_millis_training
359.375
usercpu_time_millis_training
421.875
usercpu_time_millis_training
390.625
usercpu_time_millis_training
390.625
usercpu_time_millis_training
406.25
wall_clock_time_millis_training
368.76821517944336
wall_clock_time_millis_training
397.77207374572754
wall_clock_time_millis_training
382.7786445617676
wall_clock_time_millis_training
363.80910873413086
wall_clock_time_millis_training
381.7765712738037
wall_clock_time_millis_training
381.7596435546875
wall_clock_time_millis_training
473.7071990966797
wall_clock_time_millis_training
389.77622985839844
wall_clock_time_millis_training
386.7957592010498
wall_clock_time_millis_training
392.7741050720215
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
375.0
usercpu_time_millis
406.25
usercpu_time_millis
375.0
usercpu_time_millis
359.375
usercpu_time_millis
375.0
usercpu_time_millis
359.375
usercpu_time_millis
421.875
usercpu_time_millis
390.625
usercpu_time_millis
390.625
usercpu_time_millis
406.25
wall_clock_time_millis_testing
3.000497817993164
wall_clock_time_millis_testing
2.0208358764648438
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
2.9997825622558594
wall_clock_time_millis_testing
3.000974655151367
wall_clock_time_millis_testing
2.9990673065185547
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
3.000020980834961
wall_clock_time_millis_testing
3.0014514923095703
wall_clock_time_millis
371.7687129974365
wall_clock_time_millis
399.7929096221924
wall_clock_time_millis
385.77842712402344
wall_clock_time_millis
366.8088912963867
wall_clock_time_millis
384.7775459289551
wall_clock_time_millis
384.75871086120605
wall_clock_time_millis
476.70722007751465
wall_clock_time_millis
391.77608489990234
wall_clock_time_millis
389.79578018188477
wall_clock_time_millis
395.77555656433105
predictive_accuracy
0.8186119873817035
predictive_accuracy
0.8123028391167192
predictive_accuracy
0.8054679284963197
predictive_accuracy
0.8222923238696109
predictive_accuracy
0.8170347003154574
predictive_accuracy
0.8359621451104101
predictive_accuracy
0.8159831756046267
predictive_accuracy
0.805993690851735
predictive_accuracy
0.8159831756046267
predictive_accuracy
0.8112513144058885