Run
10559729

Run 10559729

Task 146064 (Supervised Classification) monks-problems-1 Uploaded 22-10-2020 by Claudio Rebelo Sá
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Flow

randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)A random subgroups classifier. A random subgroups classifier is a meta estimator that fits a number subgroups on various sub-samples of the dataset. The sub-sample size is controlled with the `max_samples` parameter if `bootstrap=True` (default), otherwise the whole dataset is used to search for each subgroup. The Parameters ----------- n_estimators : int, default=100 The number of subgroups in the ensemble. max_depth : int, default=1 The maximum depth of the subgroup discovery task. max_features : {"auto", "sqrt", "log2"}, int or float, default="auto" The number of features to consider when looking for the best subgroup: - If int, then consider `max_features` features for each subgroup. - If float, then `max_features` is a fraction and `round(max_features * n_features)` features are considered for each subgroup. - If "auto", then `max_features=sqrt(n_features)`. - If "sqrt", then `max_features=sqrt(n_features)` (same as "auto"). - If "log2", then `max_feature...
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_bootstraptrue
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_intervals_onlyfalse
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_depth3
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_features"auto"
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_samplesnull
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_bins20
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_estimators100
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_jobs3
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_quality_function_weight0.5
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_result_set_size20
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_search_strategy"bestfirst"
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_verbose0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

18 Evaluation measures

0.6073 ± 0.0563
Per class
Cross-validation details (10-fold Crossvalidation)
0.5953 ± 0.0667
Per class
Cross-validation details (10-fold Crossvalidation)
0.1906 ± 0.1107
Cross-validation details (10-fold Crossvalidation)
-0.7995 ± 0.0143
Cross-validation details (10-fold Crossvalidation)
0.4912 ± 0.0036
Cross-validation details (10-fold Crossvalidation)
0.5
Cross-validation details (10-fold Crossvalidation)
0.5953 ± 0.0551
Cross-validation details (10-fold Crossvalidation)
556
Per class
Cross-validation details (10-fold Crossvalidation)
0.5953 ± 0.081
Per class
Cross-validation details (10-fold Crossvalidation)
0.5953 ± 0.0551
Cross-validation details (10-fold Crossvalidation)
1
Cross-validation details (10-fold Crossvalidation)
0.9824 ± 0.0071
Cross-validation details (10-fold Crossvalidation)
0.5
Cross-validation details (10-fold Crossvalidation)
0.6229 ± 0.0052
Cross-validation details (10-fold Crossvalidation)
1.2458 ± 0.0104
Cross-validation details (10-fold Crossvalidation)
0.5953 ± 0.0556
Cross-validation details (10-fold Crossvalidation)