3954
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
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
usercpu_time_millis_training
93.75
usercpu_time_millis_training
109.375
usercpu_time_millis_training
109.375
wall_clock_time_millis_training
96.96030616760254
wall_clock_time_millis_training
95.96586227416992
wall_clock_time_millis_training
98.94180297851562
wall_clock_time_millis_training
97.92089462280273
wall_clock_time_millis_training
97.91994094848633
wall_clock_time_millis_training
99.96294975280762
wall_clock_time_millis_training
102.94032096862793
wall_clock_time_millis_training
106.93788528442383
wall_clock_time_millis_training
101.9594669342041
wall_clock_time_millis_training
105.93748092651367
usercpu_time_millis_testing
265.625
usercpu_time_millis_testing
250.0
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
265.625
usercpu_time_millis_testing
250.0
usercpu_time_millis_testing
250.0
usercpu_time_millis_testing
234.375
usercpu_time_millis_testing
250.0
usercpu_time_millis_testing
312.5
usercpu_time_millis_testing
265.625
usercpu_time_millis
359.375
usercpu_time_millis
343.75
usercpu_time_millis
328.125
usercpu_time_millis
359.375
usercpu_time_millis
359.375
usercpu_time_millis
359.375
usercpu_time_millis
343.75
usercpu_time_millis
343.75
usercpu_time_millis
421.875
usercpu_time_millis
375.0
wall_clock_time_millis_testing
291.8117046356201
wall_clock_time_millis_testing
248.85845184326172
wall_clock_time_millis_testing
249.8786449432373
wall_clock_time_millis_testing
263.8704776763916
wall_clock_time_millis_testing
249.8788833618164
wall_clock_time_millis_testing
254.8544406890869
wall_clock_time_millis_testing
255.85269927978516
wall_clock_time_millis_testing
250.85687637329102
wall_clock_time_millis_testing
315.7970905303955
wall_clock_time_millis_testing
254.85515594482422
wall_clock_time_millis
388.77201080322266
wall_clock_time_millis
344.82431411743164
wall_clock_time_millis
348.82044792175293
wall_clock_time_millis
361.79137229919434
wall_clock_time_millis
347.79882431030273
wall_clock_time_millis
354.81739044189453
wall_clock_time_millis
358.7930202484131
wall_clock_time_millis
357.79476165771484
wall_clock_time_millis
417.7565574645996
wall_clock_time_millis
360.7926368713379
predictive_accuracy
0.8354363827549948
predictive_accuracy
0.852260778128286
predictive_accuracy
0.8427970557308097
predictive_accuracy
0.8391167192429022
predictive_accuracy
0.843322818086225
predictive_accuracy
0.831230283911672
predictive_accuracy
0.8301787592008412
predictive_accuracy
0.8422712933753943
predictive_accuracy
0.8459516298633017
predictive_accuracy
0.832807570977918