Run
10559730

Run 10559730

Task 125923 (Supervised Classification) Australian Uploaded 22-10-2020 by Claudio Rebelo Sá
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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

0.8961 ± 0.0337
Per class
Cross-validation details (10-fold Crossvalidation)
0.845 ± 0.0253
Per class
Cross-validation details (10-fold Crossvalidation)
0.6853 ± 0.0519
Cross-validation details (10-fold Crossvalidation)
-0.7092 ± 0.0334
Cross-validation details (10-fold Crossvalidation)
0.4311 ± 0.0096
Cross-validation details (10-fold Crossvalidation)
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.8464 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
690
Per class
Cross-validation details (10-fold Crossvalidation)
0.8485 ± 0.025
Per class
Cross-validation details (10-fold Crossvalidation)
0.8464 ± 0.0248
Cross-validation details (10-fold Crossvalidation)
0.9912 ± 0.0022
Cross-validation details (10-fold Crossvalidation)
0.8727 ± 0.0192
Cross-validation details (10-fold Crossvalidation)
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
0.5748 ± 0.0123
Cross-validation details (10-fold Crossvalidation)
1.1565 ± 0.0245
Cross-validation details (10-fold Crossvalidation)
0.8387 ± 0.0267
Cross-validation details (10-fold Crossvalidation)