119
30520
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"}}}
30520
error_score
NaN
30520
n_iter
5
30520
n_jobs
null
30520
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]}
30520
pre_dispatch
"2*n_jobs"
30520
random_state
12172
30520
refit
true
30520
return_train_score
false
30520
scoring
null
30520
verbose
0
30520
bootstrap
true
30524
ccp_alpha
0.0
30524
class_weight
null
30524
criterion
"gini"
30524
max_depth
null
30524
max_features
"auto"
30524
max_leaf_nodes
null
30524
max_samples
null
30524
min_impurity_decrease
0.0
30524
min_impurity_split
null
30524
min_samples_leaf
1
30524
min_samples_split
2
30524
min_weight_fraction_leaf
0.0
30524
n_estimators
5
30524
n_jobs
null
30524
oob_score
false
30524
random_state
33003
30524
verbose
0
30524
warm_start
false
30524
openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
102.46460000000468
wall_clock_time_millis_training
102.47564315795898
usercpu_time_millis_testing
1.532099999998593
usercpu_time_millis
103.99670000000327
wall_clock_time_millis_testing
1.5628337860107422
wall_clock_time_millis
114.93444442749023
predictive_accuracy
0.7075098814229249