Issue | #Downvotes for this reason | By |
---|
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 |
0.8228 ± 0.0822 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8163 ± 0.0581 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4739 ± 0.1449 Cross-validation details (10-fold Crossvalidation)
|
-1.6565 ± 0.1521 Cross-validation details (10-fold Crossvalidation)
|
0.3657 ± 0.0281 Cross-validation details (10-fold Crossvalidation)
|
0.3266 ± 0.0052 Cross-validation details (10-fold Crossvalidation)
|
0.8065 ± 0.0652 Cross-validation details (10-fold Crossvalidation)
|
522 Per class Cross-validation details (10-fold Crossvalidation) |
0.8345 ± 0.0462 Per class Cross-validation details (10-fold Crossvalidation)
|
0.8065 ± 0.0652 Cross-validation details (10-fold Crossvalidation)
|
0.7318 ± 0.0173 Cross-validation details (10-fold Crossvalidation)
|
1.1199 ± 0.0841 Cross-validation details (10-fold Crossvalidation)
|
0.4037 ± 0.0065 Cross-validation details (10-fold Crossvalidation)
|
0.5106 ± 0.0327 Cross-validation details (10-fold Crossvalidation)
|
1.2649 ± 0.0799 Cross-validation details (10-fold Crossvalidation)
|
0.7673 ± 0.067 Cross-validation details (10-fold Crossvalidation)
|