32
19142
Python_3.6.15. Sklearn_0.21.1. NumPy_1.19.5. SciPy_1.5.4.
memory
null
19142
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
19142
verbose
false
19142
add_indicator
false
19143
copy
true
19143
fill_value
null
19143
missing_values
NaN
19143
strategy
"mean"
19143
verbose
0
19143
class_weight
null
19144
criterion
"gini"
19144
max_depth
null
19144
max_features
null
19144
max_leaf_nodes
null
19144
min_impurity_decrease
0.0
19144
min_impurity_split
null
19144
min_samples_leaf
1
19144
min_samples_split
2
19144
min_weight_fraction_leaf
0.0
19144
presort
false
19144
random_state
54257
19144
splitter
"best"
19144
openml-python
Sklearn_0.21.1.
usercpu_time_millis_training
68.35668400000006
usercpu_time_millis_training
66.63892600000021
usercpu_time_millis_training
67.91746700000002
usercpu_time_millis_training
66.16712699999994
usercpu_time_millis_training
67.73691400000016
usercpu_time_millis_training
67.3785870000001
usercpu_time_millis_training
68.26580300000006
usercpu_time_millis_training
67.62115599999996
usercpu_time_millis_training
67.11258299999989
usercpu_time_millis_training
66.45195300000006
wall_clock_time_millis_training
68.43805313110352
wall_clock_time_millis_training
66.63942337036133
wall_clock_time_millis_training
67.91806221008301
wall_clock_time_millis_training
66.17617607116699
wall_clock_time_millis_training
67.73781776428223
wall_clock_time_millis_training
67.37923622131348
wall_clock_time_millis_training
68.26639175415039
wall_clock_time_millis_training
67.62862205505371
wall_clock_time_millis_training
67.11292266845703
wall_clock_time_millis_training
66.45798683166504
usercpu_time_millis_testing
0.9556830000001515
usercpu_time_millis_testing
0.9058969999999889
usercpu_time_millis_testing
0.9213079999998985
usercpu_time_millis_testing
1.0348319999999855
usercpu_time_millis_testing
0.8768520000002056
usercpu_time_millis_testing
0.8624080000001477
usercpu_time_millis_testing
0.9406429999998522
usercpu_time_millis_testing
0.8655989999999392
usercpu_time_millis_testing
0.8687749999998218
usercpu_time_millis_testing
0.9112419999999233
usercpu_time_millis
69.31236700000021
usercpu_time_millis
67.5448230000002
usercpu_time_millis
68.83877499999991
usercpu_time_millis
67.20195899999992
usercpu_time_millis
68.61376600000037
usercpu_time_millis
68.24099500000024
usercpu_time_millis
69.20644599999991
usercpu_time_millis
68.4867549999999
usercpu_time_millis
67.98135799999972
usercpu_time_millis
67.36319499999999
wall_clock_time_millis_testing
0.9593963623046875
wall_clock_time_millis_testing
0.9093284606933594
wall_clock_time_millis_testing
0.9238719940185547
wall_clock_time_millis_testing
1.0378360748291016
wall_clock_time_millis_testing
0.8802413940429688
wall_clock_time_millis_testing
0.865936279296875
wall_clock_time_millis_testing
0.9438991546630859
wall_clock_time_millis_testing
0.8687973022460938
wall_clock_time_millis_testing
0.8721351623535156
wall_clock_time_millis_testing
0.9143352508544922
wall_clock_time_millis
69.3974494934082
wall_clock_time_millis
67.54875183105469
wall_clock_time_millis
68.84193420410156
wall_clock_time_millis
67.2140121459961
wall_clock_time_millis
68.6180591583252
wall_clock_time_millis
68.24517250061035
wall_clock_time_millis
69.21029090881348
wall_clock_time_millis
68.4974193572998
wall_clock_time_millis
67.98505783081055
wall_clock_time_millis
67.37232208251953
predictive_accuracy
0.9754545454545455
predictive_accuracy
0.9554545454545454
predictive_accuracy
0.9590536851683349
predictive_accuracy
0.9663330300272975
predictive_accuracy
0.9690627843494085
predictive_accuracy
0.9617834394904459
predictive_accuracy
0.9463148316651502
predictive_accuracy
0.9626933575978162
predictive_accuracy
0.9672429481346679
predictive_accuracy
0.9563239308462238