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 |
0.7291 ± 0.0361 Per class Cross-validation details (10-fold Crossvalidation)
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0.6696 ± 0.0599 Per class Cross-validation details (10-fold Crossvalidation)
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0.3359 ± 0.0903 Cross-validation details (10-fold Crossvalidation)
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-1.1794 ± 0.0141 Cross-validation details (10-fold Crossvalidation)
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0.4876 ± 0.0039 Cross-validation details (10-fold Crossvalidation)
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0.453 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.6618 ± 0.0598 Cross-validation details (10-fold Crossvalidation)
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958 Per class Cross-validation details (10-fold Crossvalidation) |
0.722 ± 0.0357 Per class Cross-validation details (10-fold Crossvalidation)
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0.6618 ± 0.0598 Cross-validation details (10-fold Crossvalidation)
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0.931 ± 0.0039 Cross-validation details (10-fold Crossvalidation)
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1.0763 ± 0.0097 Cross-validation details (10-fold Crossvalidation)
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0.4759 ± 0.0014 Cross-validation details (10-fold Crossvalidation)
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0.6559 ± 0.0054 Cross-validation details (10-fold Crossvalidation)
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1.3782 ± 0.0111 Cross-validation details (10-fold Crossvalidation)
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0.6889 ± 0.0426 Cross-validation details (10-fold Crossvalidation)
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