37
19162
Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3.
memory
null
19162
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"}}]
19162
verbose
false
19162
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
ccp_alpha
0.0
19085
class_weight
null
19085
criterion
"gini"
19085
max_depth
null
19085
max_features
null
19085
max_leaf_nodes
null
19085
min_impurity_decrease
0.0
19085
min_samples_leaf
1
19085
min_samples_split
2
19085
min_weight_fraction_leaf
0.0
19085
random_state
4983
19085
splitter
"best"
19085
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
15.625
usercpu_time_millis_training
15.625
usercpu_time_millis_training
0.0
wall_clock_time_millis_training
7.993459701538086
wall_clock_time_millis_training
8.99362564086914
wall_clock_time_millis_training
7.993459701538086
wall_clock_time_millis_training
8.970975875854492
wall_clock_time_millis_training
7.995367050170898
wall_clock_time_millis_training
8.994817733764648
wall_clock_time_millis_training
8.996009826660156
wall_clock_time_millis_training
9.9945068359375
wall_clock_time_millis_training
8.992671966552734
wall_clock_time_millis_training
8.970975875854492
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_testing
0.0
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
15.625
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.000570297241211
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9991397857666016
wall_clock_time_millis_testing
1.9993782043457031
wall_clock_time_millis_testing
1.9977092742919922
wall_clock_time_millis_testing
1.9998550415039062
wall_clock_time_millis_testing
2.000093460083008
wall_clock_time_millis_testing
2.001523971557617
wall_clock_time_millis
9.993314743041992
wall_clock_time_millis
10.994195938110352
wall_clock_time_millis
9.993553161621094
wall_clock_time_millis
10.970354080200195
wall_clock_time_millis
9.9945068359375
wall_clock_time_millis
10.994195938110352
wall_clock_time_millis
10.993719100952148
wall_clock_time_millis
11.994361877441406
wall_clock_time_millis
10.992765426635742
wall_clock_time_millis
10.97249984741211
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6883116883116883
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6493506493506493
predictive_accuracy
0.7402597402597403
predictive_accuracy
0.6623376623376623
predictive_accuracy
0.7272727272727273
predictive_accuracy
0.6973684210526315
predictive_accuracy
0.6578947368421053