119
36812
Python_3.9.13. Sklearn_0.24.2. NumPy_1.26.3. SciPy_1.10.0.
cv
{"oml-python:serialized_object": "cv_object", "value": {"name": "sklearn.model_selection._split.StratifiedKFold", "parameters": {"n_splits": "2", "random_state": "62501", "shuffle": "true"}}}
36812
error_score
NaN
36812
n_jobs
null
36812
param_grid
[{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}]
36812
pre_dispatch
"2*n_jobs"
36812
refit
true
36812
return_train_score
false
36812
scoring
null
36812
verbose
0
36812
bootstrap
true
36813
ccp_alpha
0.0
36813
class_weight
null
36813
criterion
"gini"
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max_depth
null
36813
max_features
"auto"
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max_leaf_nodes
null
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max_samples
null
36813
min_impurity_decrease
0.0
36813
min_impurity_split
null
36813
min_samples_leaf
1
36813
min_samples_split
2
36813
min_weight_fraction_leaf
0.0
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n_estimators
5
36813
n_jobs
null
36813
oob_score
false
36813
random_state
33003
36813
verbose
0
36813
warm_start
false
36813
openml-python
Sklearn_0.24.2.
usercpu_time_millis_training
78.125
wall_clock_time_millis_training
78.11236381530762
usercpu_time_millis_testing
0.0
usercpu_time_millis
78.125
wall_clock_time_millis_testing
0.0
wall_clock_time_millis
93.74094009399414
predictive_accuracy
0.6956521739130435