Issue | #Downvotes for this reason | By |
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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)_bootstrap | true |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_intervals_only | false |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_depth | 3 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_features | "auto" |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_max_samples | null |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_bins | 20 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_estimators | 100 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_n_jobs | 3 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_quality_function_weight | 0.5 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_result_set_size | 20 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_search_strategy | "bestfirst" |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_verbose | 0 |
0.73 ± 0.0374 Per class Cross-validation details (10-fold Crossvalidation)
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0.7235 ± 0.0447 Per class Cross-validation details (10-fold Crossvalidation)
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0.2893 ± 0.0952 Cross-validation details (10-fold Crossvalidation)
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-1.5925 ± 0.078 Cross-validation details (10-fold Crossvalidation)
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0.4362 ± 0.018 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.7099 ± 0.0521 Cross-validation details (10-fold Crossvalidation)
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748 Per class Cross-validation details (10-fold Crossvalidation) |
0.7472 ± 0.033 Per class Cross-validation details (10-fold Crossvalidation)
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0.7099 ± 0.0521 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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1.2014 ± 0.0546 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.575 ± 0.0159 Cross-validation details (10-fold Crossvalidation)
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1.3502 ± 0.0425 Cross-validation details (10-fold Crossvalidation)
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0.6628 ± 0.0474 Cross-validation details (10-fold Crossvalidation)
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