119
22152
Python_3.8.18. Sklearn_0.24.0. NumPy_1.24.4. SciPy_1.10.1.
cv
{"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}}
22152
error_score
NaN
22152
n_jobs
null
22152
param_grid
[{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}]
22152
pre_dispatch
"2*n_jobs"
22152
refit
true
22152
return_train_score
false
22152
scoring
null
22152
verbose
0
22152
bootstrap
true
22153
ccp_alpha
0.0
22153
class_weight
null
22153
criterion
"gini"
22153
max_depth
null
22153
max_features
"auto"
22153
max_leaf_nodes
null
22153
max_samples
null
22153
min_impurity_decrease
0.0
22153
min_impurity_split
null
22153
min_samples_leaf
1
22153
min_samples_split
2
22153
min_weight_fraction_leaf
0.0
22153
n_estimators
5
22153
n_jobs
null
22153
oob_score
false
22153
random_state
33003
22153
verbose
0
22153
warm_start
false
22153
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
79.4081999999996
wall_clock_time_millis_training
79.41579818725586
usercpu_time_millis_testing
1.4517000000004998
usercpu_time_millis
80.8599000000001
wall_clock_time_millis_testing
1.4574527740478516
wall_clock_time_millis
89.0815258026123
predictive_accuracy
0.6956521739130435