9983
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
46.875
usercpu_time_millis_training
31.25
usercpu_time_millis_training
78.125
usercpu_time_millis_training
46.875
usercpu_time_millis_training
15.625
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
usercpu_time_millis_training
46.875
wall_clock_time_millis_training
45.97306251525879
wall_clock_time_millis_training
49.97110366821289
wall_clock_time_millis_training
65.96183776855469
wall_clock_time_millis_training
38.976430892944336
wall_clock_time_millis_training
50.97007751464844
wall_clock_time_millis_training
45.974016189575195
wall_clock_time_millis_training
49.9727725982666
wall_clock_time_millis_training
49.9725341796875
wall_clock_time_millis_training
47.974348068237305
wall_clock_time_millis_training
50.97246170043945
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_testing
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis
46.875
usercpu_time_millis
31.25
usercpu_time_millis
78.125
usercpu_time_millis
46.875
usercpu_time_millis
31.25
usercpu_time_millis
46.875
usercpu_time_millis
46.875
usercpu_time_millis
46.875
usercpu_time_millis
62.5
usercpu_time_millis
46.875
wall_clock_time_millis_testing
12.99428939819336
wall_clock_time_millis_testing
3.995180130004883
wall_clock_time_millis_testing
4.000186920166016
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
7.996559143066406
wall_clock_time_millis_testing
5.996465682983398
wall_clock_time_millis_testing
9.991884231567383
wall_clock_time_millis_testing
5.996942520141602
wall_clock_time_millis_testing
4.99725341796875
wall_clock_time_millis_testing
7.993221282958984
wall_clock_time_millis
58.96735191345215
wall_clock_time_millis
53.96628379821777
wall_clock_time_millis
69.9620246887207
wall_clock_time_millis
41.975975036621094
wall_clock_time_millis
58.966636657714844
wall_clock_time_millis
51.970481872558594
wall_clock_time_millis
59.964656829833984
wall_clock_time_millis
55.9694766998291
wall_clock_time_millis
52.971601486206055
wall_clock_time_millis
58.96568298339844
predictive_accuracy
0.49666221628838453
predictive_accuracy
0.4459279038718291
predictive_accuracy
0.445260347129506
predictive_accuracy
0.4539385847797063
predictive_accuracy
0.4666221628838451
predictive_accuracy
0.4432576769025367
predictive_accuracy
0.4472630173564753
predictive_accuracy
0.45260347129506007
predictive_accuracy
0.4492656875834446
predictive_accuracy
0.4445927903871829