| Issue | #Downvotes for this reason | By |
|---|
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1) | An AdaBoost classifier. An AdaBoost [1] classifier is a meta-estimator that begins by fitting a classifier on the original dataset and then fits additional copies of the classifier on the same dataset but where the weights of incorrectly classified instances are adjusted such that subsequent classifiers focus more on difficult cases. This class implements the algorithm known as AdaBoost-SAMME [2]. |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1)_algorithm | "SAMME.R" |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1)_base_estimator | null |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1)_learning_rate | 1.0 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1)_n_estimators | 50 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(1)_random_state | 51045 |
0.7942 ± 0.0279 Per class Cross-validation details (10-fold Crossvalidation)
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0.8211 ± 0.0186 Per class Cross-validation details (10-fold Crossvalidation)
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0.23 ± 0.0795 Cross-validation details (10-fold Crossvalidation)
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-1.8038 ± 0.0493 Cross-validation details (10-fold Crossvalidation)
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0.4845 ± 0.0048 Cross-validation details (10-fold Crossvalidation)
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0.2616 ± 0.0016 Cross-validation details (10-fold Crossvalidation)
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0.8535 ± 0.0162 Cross-validation details (10-fold Crossvalidation)
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2109 Per class Cross-validation details (10-fold Crossvalidation) |
0.8236 ± 0.0285 Per class Cross-validation details (10-fold Crossvalidation)
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0.8535 ± 0.0162 Cross-validation details (10-fold Crossvalidation)
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0.6212 ± 0.0058 Cross-validation details (10-fold Crossvalidation)
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1.8521 ± 0.0254 Cross-validation details (10-fold Crossvalidation)
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0.3615 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.4855 ± 0.0038 Cross-validation details (10-fold Crossvalidation)
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1.343 ± 0.0159 Cross-validation details (10-fold Crossvalidation)
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0.5837 ± 0.0294 Cross-validation details (10-fold Crossvalidation)
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