119
13853
Python_3.10.13. Sklearn_1.3.2. NumPy_1.26.3. SciPy_1.11.4.
cv
null
13853
error_score
NaN
13853
n_jobs
null
13853
param_grid
{"classifier__max_depth": [1, 2, 3, 4, 5], "imputer__strategy": ["mean", "median"]}
13853
pre_dispatch
"2*n_jobs"
13853
refit
true
13853
return_train_score
false
13853
scoring
null
13853
verbose
0
13853
memory
null
13854
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "classifier", "step_name": "classifier"}}]
13854
verbose
false
13854
add_indicator
false
80
copy
true
80
fill_value
null
80
keep_empty_features
false
80
missing_values
NaN
80
strategy
"mean"
80
ccp_alpha
0.0
52
class_weight
null
52
criterion
"gini"
52
max_depth
1
52
max_features
null
52
max_leaf_nodes
null
52
min_impurity_decrease
0.0
52
min_samples_leaf
1
52
min_samples_split
2
52
min_weight_fraction_leaf
0.0
52
random_state
42839
52
splitter
"best"
52
openml-python
Sklearn_1.3.2.
usercpu_time_millis_training
347.9718000000034
wall_clock_time_millis_training
348.1101989746094
usercpu_time_millis_testing
1.0271000000017239
usercpu_time_millis
348.9989000000051
wall_clock_time_millis_testing
1.0304450988769531
wall_clock_time_millis
352.949857711792