119
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Python_3.9.18. Sklearn_0.24.0. 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"}}}
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error_score
NaN
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n_jobs
null
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param_grid
[{"max_features": [2, 4]}, {"min_samples_leaf": [1, 10]}]
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pre_dispatch
"2*n_jobs"
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refit
true
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return_train_score
false
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scoring
null
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verbose
0
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bootstrap
true
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ccp_alpha
0.0
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class_weight
null
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criterion
"gini"
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max_depth
null
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max_features
"auto"
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max_leaf_nodes
null
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max_samples
null
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min_impurity_decrease
0.0
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min_impurity_split
null
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min_samples_leaf
1
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min_samples_split
2
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min_weight_fraction_leaf
0.0
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n_estimators
5
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n_jobs
null
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oob_score
false
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random_state
33003
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verbose
0
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warm_start
false
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openml-python
Sklearn_0.24.0.
usercpu_time_millis_training
81.33610000000147
wall_clock_time_millis_training
81.33673667907715
usercpu_time_millis_testing
1.294999999998936
usercpu_time_millis
82.6311000000004
wall_clock_time_millis_testing
1.2969970703125
wall_clock_time_millis
90.99888801574707
predictive_accuracy
0.6956521739130435