11
14011
Python_3.8.18. Sklearn_0.23.1. NumPy_1.23.5. SciPy_1.10.1.
memory
null
14011
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "enc", "step_name": "enc"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rs", "step_name": "rs"}}]
14011
verbose
false
14011
categories
"auto"
13916
drop
null
13916
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
13916
handle_unknown
"ignore"
13916
sparse
true
13916
cv
{"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}}
14013
error_score
NaN
14013
iid
"deprecated"
14013
n_iter
2
14013
n_jobs
null
14013
param_distributions
{"bootstrap": [true, false], "criterion": ["gini", "entropy"], "max_depth": [3, null], "max_features": [1, 2, 3, 4], "min_samples_leaf": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10], "min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10]}
14013
pre_dispatch
"2*n_jobs"
14013
random_state
12172
14013
refit
true
14013
return_train_score
false
14013
scoring
null
14013
verbose
0
14013
bootstrap
true
435
ccp_alpha
0.0
435
class_weight
null
435
criterion
"gini"
435
max_depth
null
435
max_features
"auto"
435
max_leaf_nodes
null
435
max_samples
null
435
min_impurity_decrease
0.0
435
min_impurity_split
null
435
min_samples_leaf
1
435
min_samples_split
2
435
min_weight_fraction_leaf
0.0
435
n_estimators
5
435
n_jobs
null
435
oob_score
false
435
random_state
33003
435
verbose
0
435
warm_start
false
435
openml-python
Sklearn_0.23.1.
usercpu_time_millis_training
98.2334999999992
wall_clock_time_millis_training
98.23465347290039
usercpu_time_millis_testing
13.847800000000632
usercpu_time_millis
112.08129999999983
wall_clock_time_millis_testing
13.850927352905273
wall_clock_time_millis
112.08558082580566
predictive_accuracy
0.9032258064516129