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 | 1 |
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 | null |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_quality_function_weight | 0.5 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_result_set_size | 1 |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_search_strategy | "bestfirst" |
randomsubgroups._randomsubgroups.RandomSubgroupClassifier(1)_verbose | 0 |
0.7261 ± 0.0442 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6893 ± 0.0437 Per class Cross-validation details (10-fold Crossvalidation)
|
0.2702 ± 0.0791 Cross-validation details (10-fold Crossvalidation)
|
-1.5058 ± 0.0776 Cross-validation details (10-fold Crossvalidation)
|
0.4439 ± 0.0156 Cross-validation details (10-fold Crossvalidation)
|
0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
|
0.6658 ± 0.0486 Cross-validation details (10-fold Crossvalidation)
|
748 Per class Cross-validation details (10-fold Crossvalidation) |
0.7537 ± 0.0356 Per class Cross-validation details (10-fold Crossvalidation)
|
0.6658 ± 0.0486 Cross-validation details (10-fold Crossvalidation)
|
0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
|
1.2228 ± 0.0414 Cross-validation details (10-fold Crossvalidation)
|
0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
|
0.5612 ± 0.0156 Cross-validation details (10-fold Crossvalidation)
|
1.318 ± 0.0367 Cross-validation details (10-fold Crossvalidation)
|
0.6706 ± 0.0506 Cross-validation details (10-fold Crossvalidation)
|