32
19021
Python_3.8.13. Sklearn_0.23.2. NumPy_1.20.0. SciPy_1.8.1.
memory
null
19021
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"}}]
19021
verbose
false
19021
add_indicator
false
19022
copy
true
19022
fill_value
null
19022
missing_values
NaN
19022
strategy
"mean"
19022
verbose
0
19022
ccp_alpha
0.0
19020
class_weight
null
19020
criterion
"gini"
19020
max_depth
null
19020
max_features
null
19020
max_leaf_nodes
null
19020
min_impurity_decrease
0.0
19020
min_impurity_split
null
19020
min_samples_leaf
1
19020
min_samples_split
2
19020
min_weight_fraction_leaf
0.0
19020
presort
"deprecated"
19020
random_state
45512
19020
splitter
"best"
19020
openml-python
Sklearn_0.23.2.
usercpu_time_millis_training
48.73341000000053
usercpu_time_millis_training
47.995279000000224
usercpu_time_millis_training
49.62819400000029
usercpu_time_millis_training
48.127170000000774
usercpu_time_millis_training
48.977833999999554
usercpu_time_millis_training
48.43916100000012
usercpu_time_millis_training
49.32011100000011
usercpu_time_millis_training
48.99705000000054
usercpu_time_millis_training
48.560494000000176
usercpu_time_millis_training
48.13239099999933
wall_clock_time_millis_training
48.74229431152344
wall_clock_time_millis_training
48.012495040893555
wall_clock_time_millis_training
49.64804649353027
wall_clock_time_millis_training
48.128366470336914
wall_clock_time_millis_training
48.98715019226074
wall_clock_time_millis_training
48.45452308654785
wall_clock_time_millis_training
49.332618713378906
wall_clock_time_millis_training
49.00860786437988
wall_clock_time_millis_training
48.57134819030762
wall_clock_time_millis_training
48.14767837524414
usercpu_time_millis_testing
0.7364960000000309
usercpu_time_millis_testing
0.7006980000001661
usercpu_time_millis_testing
0.9187010000006879
usercpu_time_millis_testing
0.7872920000000505
usercpu_time_millis_testing
0.7164669999992768
usercpu_time_millis_testing
0.7572150000001443
usercpu_time_millis_testing
0.7092439999993871
usercpu_time_millis_testing
0.7116889999991827
usercpu_time_millis_testing
0.7128399999993817
usercpu_time_millis_testing
0.8883830000003812
usercpu_time_millis
49.46990600000056
usercpu_time_millis
48.69597700000039
usercpu_time_millis
50.54689500000098
usercpu_time_millis
48.914462000000825
usercpu_time_millis
49.69430099999883
usercpu_time_millis
49.196376000000264
usercpu_time_millis
50.0293549999995
usercpu_time_millis
49.708738999999724
usercpu_time_millis
49.27333399999956
usercpu_time_millis
49.02077399999971
wall_clock_time_millis_testing
0.7383823394775391
wall_clock_time_millis_testing
0.7030963897705078
wall_clock_time_millis_testing
0.9212493896484375
wall_clock_time_millis_testing
0.7913112640380859
wall_clock_time_millis_testing
0.7219314575195312
wall_clock_time_millis_testing
0.7605552673339844
wall_clock_time_millis_testing
0.7119178771972656
wall_clock_time_millis_testing
0.7145404815673828
wall_clock_time_millis_testing
0.7159709930419922
wall_clock_time_millis_testing
0.8914470672607422
wall_clock_time_millis
49.48067665100098
wall_clock_time_millis
48.71559143066406
wall_clock_time_millis
50.56929588317871
wall_clock_time_millis
48.919677734375
wall_clock_time_millis
49.70908164978027
wall_clock_time_millis
49.215078353881836
wall_clock_time_millis
50.04453659057617
wall_clock_time_millis
49.723148345947266
wall_clock_time_millis
49.28731918334961
wall_clock_time_millis
49.03912544250488
predictive_accuracy
0.9681818181818181
predictive_accuracy
0.9581818181818181
predictive_accuracy
0.9599636032757052
predictive_accuracy
0.9717925386715196
predictive_accuracy
0.9636032757051866
predictive_accuracy
0.9636032757051866
predictive_accuracy
0.9526842584167425
predictive_accuracy
0.9645131938125568
predictive_accuracy
0.9681528662420382
predictive_accuracy
0.9590536851683349