| 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 | 21753 |
0.806 ± 0.0067 Per class Cross-validation details (10-fold Crossvalidation)
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0.4568 ± 0.0071 Per class Cross-validation details (10-fold Crossvalidation)
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0.3894 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
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0.0615 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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0.1778 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.1703 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4815 ± 0.0064 Cross-validation details (10-fold Crossvalidation)
|
58310 Per class Cross-validation details (10-fold Crossvalidation) |
0.4604 ± 0.007 Per class Cross-validation details (10-fold Crossvalidation)
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0.4815 ± 0.0064 Cross-validation details (10-fold Crossvalidation)
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2.9613 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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1.044 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.2918 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.2965 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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1.0161 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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0.3887 ± 0.009 Cross-validation details (10-fold Crossvalidation)
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