| 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 | 57530 |
0.7567 ± 0.0577 Per class Cross-validation details (10-fold Crossvalidation)
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0.739 ± 0.0372 Per class Cross-validation details (10-fold Crossvalidation)
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0.3643 ± 0.0905 Cross-validation details (10-fold Crossvalidation)
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-0.3098 ± 0.0064 Cross-validation details (10-fold Crossvalidation)
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0.493 ± 0.0017 Cross-validation details (10-fold Crossvalidation)
|
0.4202 Cross-validation details (10-fold Crossvalidation)
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0.747 ± 0.038 Cross-validation details (10-fold Crossvalidation)
|
1000 Per class Cross-validation details (10-fold Crossvalidation) |
0.736 ± 0.0408 Per class Cross-validation details (10-fold Crossvalidation)
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0.747 ± 0.038 Cross-validation details (10-fold Crossvalidation)
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0.8813 Cross-validation details (10-fold Crossvalidation)
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1.1734 ± 0.004 Cross-validation details (10-fold Crossvalidation)
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0.4583 Cross-validation details (10-fold Crossvalidation)
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0.4935 ± 0.0018 Cross-validation details (10-fold Crossvalidation)
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1.0768 ± 0.0039 Cross-validation details (10-fold Crossvalidation)
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0.6726 ± 0.0453 Cross-validation details (10-fold Crossvalidation)
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