146817
18916
Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0.
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputation", "step_name": "imputation"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
18916
axis
0
18879
copy
true
18879
missing_values
"NaN"
18879
strategy
"median"
18879
verbose
0
18879
class_weight
null
18895
criterion
"entropy"
18895
max_depth
0.2801630246326896
18895
max_features
1.0
18895
max_leaf_nodes
null
18895
min_impurity_split
1e-07
18895
min_samples_leaf
18
18895
min_samples_split
16
18895
min_weight_fraction_leaf
0.0
18895
presort
false
18895
random_state
35802
18895
splitter
"best"
18895
openml-python
Sklearn_0.18.1.
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
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
wall_clock_time_millis_training
5.398988723754883
wall_clock_time_millis_training
6.519317626953125
wall_clock_time_millis_training
6.021022796630859
wall_clock_time_millis_training
5.55109977722168
wall_clock_time_millis_training
5.563497543334961
wall_clock_time_millis_training
5.48100471496582
wall_clock_time_millis_training
5.626916885375977
wall_clock_time_millis_training
5.458593368530273
wall_clock_time_millis_training
5.430459976196289
wall_clock_time_millis_training
5.604267120361328
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
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
0.0
usercpu_time_millis
15.625
usercpu_time_millis
15.625
usercpu_time_millis
0.0
usercpu_time_millis
0.0
usercpu_time_millis
0.0
usercpu_time_millis
15.625
usercpu_time_millis
31.25
usercpu_time_millis
0.0
usercpu_time_millis
0.0
wall_clock_time_millis_testing
0.301361083984375
wall_clock_time_millis_testing
0.35858154296875
wall_clock_time_millis_testing
0.3075599670410156
wall_clock_time_millis_testing
0.3032684326171875
wall_clock_time_millis_testing
0.3032684326171875
wall_clock_time_millis_testing
0.2999305725097656
wall_clock_time_millis_testing
0.3039836883544922
wall_clock_time_millis_testing
0.4489421844482422
wall_clock_time_millis_testing
0.2994537353515625
wall_clock_time_millis_testing
0.308990478515625
wall_clock_time_millis
5.700349807739258
wall_clock_time_millis
6.877899169921875
wall_clock_time_millis
6.328582763671875
wall_clock_time_millis
5.854368209838867
wall_clock_time_millis
5.866765975952148
wall_clock_time_millis
5.780935287475586
wall_clock_time_millis
5.930900573730469
wall_clock_time_millis
5.907535552978516
wall_clock_time_millis
5.729913711547852
wall_clock_time_millis
5.913257598876953
predictive_accuracy
0.3435897435897436
predictive_accuracy
0.34536082474226804
predictive_accuracy
0.35051546391752575
predictive_accuracy
0.35051546391752575
predictive_accuracy
0.35051546391752575
predictive_accuracy
0.34536082474226804
predictive_accuracy
0.34536082474226804
predictive_accuracy
0.34536082474226804
predictive_accuracy
0.34536082474226804
predictive_accuracy
0.34536082474226804