37
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
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
wall_clock_time_millis_training
4.997491836547852
wall_clock_time_millis_training
6.999492645263672
wall_clock_time_millis_training
5.994081497192383
wall_clock_time_millis_training
7.991790771484375
wall_clock_time_millis_training
5.996227264404297
wall_clock_time_millis_training
5.996942520141602
wall_clock_time_millis_training
5.997180938720703
wall_clock_time_millis_training
6.002187728881836
wall_clock_time_millis_training
5.996465682983398
wall_clock_time_millis_training
5.9986114501953125
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_testing
0.0
usercpu_time_millis_testing
0.0
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
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
0.0
wall_clock_time_millis_testing
3.0057430267333984
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9979476928710938
wall_clock_time_millis_testing
2.002239227294922
wall_clock_time_millis_testing
2.999544143676758
wall_clock_time_millis_testing
1.9989013671875
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.995086669921875
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis
8.00323486328125
wall_clock_time_millis
8.997201919555664
wall_clock_time_millis
7.992029190063477
wall_clock_time_millis
9.994029998779297
wall_clock_time_millis
8.995771408081055
wall_clock_time_millis
7.995843887329102
wall_clock_time_millis
7.996320724487305
wall_clock_time_millis
7.997274398803711
wall_clock_time_millis
8.995294570922852
wall_clock_time_millis
7.997751235961914
predictive_accuracy
0.7922077922077922
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.7792207792207793
predictive_accuracy
0.8181818181818182
predictive_accuracy
0.75
predictive_accuracy
0.7105263157894737