59
19161
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19161
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"}}]
19161
verbose
false
19161
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
algorithm
"auto"
19154
leaf_size
30
19154
metric
"minkowski"
19154
metric_params
null
19154
n_jobs
null
19154
n_neighbors
5
19154
p
2
19154
weights
"uniform"
19154
openml-python
Sklearn_1.0.2.
usercpu_time_millis_training
15.625
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
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
usercpu_time_millis_training
0.0
usercpu_time_millis_training
15.625
wall_clock_time_millis_training
3.9975643157958984
wall_clock_time_millis_training
4.995822906494141
wall_clock_time_millis_training
4.995822906494141
wall_clock_time_millis_training
3.9975643157958984
wall_clock_time_millis_training
5.974769592285156
wall_clock_time_millis_training
4.976987838745117
wall_clock_time_millis_training
3.9997100830078125
wall_clock_time_millis_training
5.993843078613281
wall_clock_time_millis_training
5.996942520141602
wall_clock_time_millis_training
4.997730255126953
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
15.625
usercpu_time_millis_testing
0.0
usercpu_time_millis_testing
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
0.0
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
3.9980411529541016
wall_clock_time_millis_testing
3.0205249786376953
wall_clock_time_millis_testing
4.997730255126953
wall_clock_time_millis_testing
2.998828887939453
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
5.994081497192383
wall_clock_time_millis_testing
2.9964447021484375
wall_clock_time_millis_testing
2.9985904693603516
wall_clock_time_millis_testing
2.9969215393066406
wall_clock_time_millis_testing
3.0198097229003906
wall_clock_time_millis
7.99560546875
wall_clock_time_millis
8.016347885131836
wall_clock_time_millis
9.993553161621094
wall_clock_time_millis
6.996393203735352
wall_clock_time_millis
8.973360061645508
wall_clock_time_millis
10.9710693359375
wall_clock_time_millis
6.99615478515625
wall_clock_time_millis
8.992433547973633
wall_clock_time_millis
8.993864059448242
wall_clock_time_millis
8.017539978027344
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.9333333333333333
predictive_accuracy
1.0
predictive_accuracy
0.8666666666666667
predictive_accuracy
1.0
predictive_accuracy
1.0