10101
19163
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19163
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"}}]
19163
verbose
false
19163
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
priors
null
19164
var_smoothing
1e-09
19164
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
wall_clock_time_millis_training
6.01649284362793
wall_clock_time_millis_training
5.997180938720703
wall_clock_time_millis_training
6.99615478515625
wall_clock_time_millis_training
5.995750427246094
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
5.9967041015625
wall_clock_time_millis_training
5.997180938720703
wall_clock_time_millis_training
5.997419357299805
wall_clock_time_millis_training
4.996776580810547
wall_clock_time_millis_training
4.997014999389648
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
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
0.0
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9996166229248047
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9986629486083984
wall_clock_time_millis_testing
1.9791126251220703
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis
8.01539421081543
wall_clock_time_millis
8.994102478027344
wall_clock_time_millis
8.995771408081055
wall_clock_time_millis
7.995367050170898
wall_clock_time_millis
7.994890213012695
wall_clock_time_millis
7.996082305908203
wall_clock_time_millis
7.996320724487305
wall_clock_time_millis
7.996082305908203
wall_clock_time_millis
6.975889205932617
wall_clock_time_millis
7.995843887329102
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7866666666666666
predictive_accuracy
0.76
predictive_accuracy
0.6666666666666666
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.76
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.7702702702702703
predictive_accuracy
0.7297297297297297