119
14099
Python_3.9.18. Sklearn_0.24.0. NumPy_1.26.3. SciPy_1.11.4.
cv
null
14099
error_score
NaN
14099
n_jobs
null
14099
param_grid
{"classifier__max_depth": [1, 2, 3, 4, 5], "imputer__strategy": ["mean", "median"]}
14099
pre_dispatch
"2*n_jobs"
14099
refit
true
14099
return_train_score
false
14099
scoring
null
14099
verbose
0
14099
memory
null
9408
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"}}]
9408
verbose
false
9408
add_indicator
false
580
copy
true
580
fill_value
null
580
missing_values
NaN
580
strategy
"mean"
580
verbose
0
580
ccp_alpha
0.0
356
class_weight
null
356
criterion
"gini"
356
max_depth
1
356
max_features
null
356
max_leaf_nodes
null
356
min_impurity_decrease
0.0
356
min_impurity_split
null
356
min_samples_leaf
1
356
min_samples_split
2
356
min_weight_fraction_leaf
0.0
356
random_state
43591
356
splitter
"best"
356
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
284.27420000000046
wall_clock_time_millis_training
284.273624420166
usercpu_time_millis_testing
0.901100000000099
usercpu_time_millis
285.17530000000056
wall_clock_time_millis_testing
0.9033679962158203
wall_clock_time_millis
288.29216957092285