37
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
15.625
usercpu_time_millis_training
15.625
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
15.625
usercpu_time_millis_training
0.0
wall_clock_time_millis_training
6.973028182983398
wall_clock_time_millis_training
6.993293762207031
wall_clock_time_millis_training
7.994413375854492
wall_clock_time_millis_training
6.99925422668457
wall_clock_time_millis_training
6.995916366577148
wall_clock_time_millis_training
6.0138702392578125
wall_clock_time_millis_training
12.991189956665039
wall_clock_time_millis_training
12.991666793823242
wall_clock_time_millis_training
6.996631622314453
wall_clock_time_millis_training
6.995439529418945
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
15.625
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
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
31.25
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
wall_clock_time_millis_testing
6.998538970947266
wall_clock_time_millis_testing
5.996465682983398
wall_clock_time_millis_testing
8.995294570922852
wall_clock_time_millis_testing
6.994485855102539
wall_clock_time_millis_testing
5.995512008666992
wall_clock_time_millis_testing
7.982015609741211
wall_clock_time_millis_testing
12.993097305297852
wall_clock_time_millis_testing
9.994268417358398
wall_clock_time_millis_testing
5.995750427246094
wall_clock_time_millis_testing
6.995439529418945
wall_clock_time_millis
13.971567153930664
wall_clock_time_millis
12.98975944519043
wall_clock_time_millis
16.989707946777344
wall_clock_time_millis
13.99374008178711
wall_clock_time_millis
12.99142837524414
wall_clock_time_millis
13.995885848999023
wall_clock_time_millis
25.98428726196289
wall_clock_time_millis
22.98593521118164
wall_clock_time_millis
12.992382049560547
wall_clock_time_millis
13.99087905883789
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7763157894736842
predictive_accuracy
0.7763157894736842