11
13976
Python_3.8.18. Sklearn_0.22.2. NumPy_1.23.5. SciPy_1.10.1.
memory
null
13976
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"}}]
13976
verbose
false
13976
categories
"auto"
13897
drop
null
13897
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
13897
handle_unknown
"ignore"
13897
sparse
true
13897
cv
{"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}}
13977
error_score
NaN
13977
iid
"deprecated"
13977
n_iter
2
13977
n_jobs
null
13977
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]}
13977
pre_dispatch
"2*n_jobs"
13977
random_state
12172
13977
refit
true
13977
return_train_score
false
13977
scoring
null
13977
verbose
0
13977
bootstrap
true
497
ccp_alpha
0.0
497
class_weight
null
497
criterion
"gini"
497
max_depth
null
497
max_features
"auto"
497
max_leaf_nodes
null
497
max_samples
null
497
min_impurity_decrease
0.0
497
min_impurity_split
null
497
min_samples_leaf
1
497
min_samples_split
2
497
min_weight_fraction_leaf
0.0
497
n_estimators
5
497
n_jobs
null
497
oob_score
false
497
random_state
33003
497
verbose
0
497
warm_start
false
497
openml-python
Sklearn_0.22.2.
usercpu_time_millis_training
85.98729999999932
wall_clock_time_millis_training
86.16447448730469
usercpu_time_millis_testing
13.151499999999317
usercpu_time_millis
99.13879999999864
wall_clock_time_millis_testing
13.17739486694336
wall_clock_time_millis
99.34186935424805
predictive_accuracy
0.9032258064516129