Run
10559726

Run 10559726

Task 4537 (Supervised Classification) iris Uploaded 22-10-2020 by Claudio Rebelo Sá
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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

0.9998
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9907 ± 0.0246
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9791 ± 0.0532
Cross-validation details (10 times 10-fold Crossvalidation)
-0.6021 ± 0.0944
Cross-validation details (10 times 10-fold Crossvalidation)
0.3236 ± 0.0201
Cross-validation details (10 times 10-fold Crossvalidation)
0.4452 ± 0
Cross-validation details (10 times 10-fold Crossvalidation)
0.9907 ± 0.0251
Cross-validation details (10 times 10-fold Crossvalidation)
1500
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9909 ± 0.0202
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.9907 ± 0.0251
Cross-validation details (10 times 10-fold Crossvalidation)
0.9183 ± 0
Cross-validation details (10 times 10-fold Crossvalidation)
0.727 ± 0.0452
Cross-validation details (10 times 10-fold Crossvalidation)
0.4714 ± 0
Cross-validation details (10 times 10-fold Crossvalidation)
0.453 ± 0.0272
Cross-validation details (10 times 10-fold Crossvalidation)
0.9611 ± 0.0576
Cross-validation details (10 times 10-fold Crossvalidation)
0.993 ± 0.0188
Cross-validation details (10 times 10-fold Crossvalidation)