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
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
wall_clock_time_millis_training
7.994890213012695
wall_clock_time_millis_training
8.99195671081543
wall_clock_time_millis_training
5.993127822875977
wall_clock_time_millis_training
7.018089294433594
wall_clock_time_millis_training
6.975889205932617
wall_clock_time_millis_training
5.995750427246094
wall_clock_time_millis_training
5.996942520141602
wall_clock_time_millis_training
9.995222091674805
wall_clock_time_millis_training
13.991117477416992
wall_clock_time_millis_training
7.9936981201171875
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
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
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
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
0.0
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.99835205078125
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
2.9802322387695312
wall_clock_time_millis_testing
2.0177364349365234
wall_clock_time_millis_testing
3.9763450622558594
wall_clock_time_millis_testing
1.9984245300292969
wall_clock_time_millis_testing
3.9987564086914062
wall_clock_time_millis_testing
5.001068115234375
wall_clock_time_millis_testing
2.0012855529785156
wall_clock_time_millis
10.993480682373047
wall_clock_time_millis
11.99030876159668
wall_clock_time_millis
7.992029190063477
wall_clock_time_millis
9.998321533203125
wall_clock_time_millis
8.99362564086914
wall_clock_time_millis
9.972095489501953
wall_clock_time_millis
7.995367050170898
wall_clock_time_millis
13.993978500366211
wall_clock_time_millis
18.992185592651367
wall_clock_time_millis
9.994983673095703
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