| 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 | 20338 |
0.9104 ± 0.0208 Per class Cross-validation details (10-fold Crossvalidation)
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0.8522 ± 0.0386 Per class Cross-validation details (10-fold Crossvalidation)
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0.7009 ± 0.0771 Cross-validation details (10-fold Crossvalidation)
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0.0422 ± 0.0094 Cross-validation details (10-fold Crossvalidation)
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0.4779 ± 0.004 Cross-validation details (10-fold Crossvalidation)
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0.494 ± 0.0008 Cross-validation details (10-fold Crossvalidation)
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0.8522 ± 0.0385 Cross-validation details (10-fold Crossvalidation)
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690 Per class Cross-validation details (10-fold Crossvalidation) |
0.8523 ± 0.0369 Per class Cross-validation details (10-fold Crossvalidation)
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0.8522 ± 0.0385 Cross-validation details (10-fold Crossvalidation)
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0.9912 ± 0.0022 Cross-validation details (10-fold Crossvalidation)
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0.9675 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
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0.497 ± 0.0008 Cross-validation details (10-fold Crossvalidation)
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0.4798 ± 0.0033 Cross-validation details (10-fold Crossvalidation)
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0.9654 ± 0.0064 Cross-validation details (10-fold Crossvalidation)
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0.8507 ± 0.0382 Cross-validation details (10-fold Crossvalidation)
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