| 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 | 63514 |
0.7171 ± 0.0608 Per class Cross-validation details (10-fold Crossvalidation)
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0.7743 ± 0.05 Per class Cross-validation details (10-fold Crossvalidation)
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0.3371 ± 0.1482 Cross-validation details (10-fold Crossvalidation)
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-0.6815 ± 0.0148 Cross-validation details (10-fold Crossvalidation)
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0.4934 ± 0.0018 Cross-validation details (10-fold Crossvalidation)
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0.363 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.7981 ± 0.0424 Cross-validation details (10-fold Crossvalidation)
|
748 Per class Cross-validation details (10-fold Crossvalidation) |
0.7783 ± 0.0626 Per class Cross-validation details (10-fold Crossvalidation)
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0.7981 ± 0.0424 Cross-validation details (10-fold Crossvalidation)
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0.7916 ± 0.0072 Cross-validation details (10-fold Crossvalidation)
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1.359 ± 0.0066 Cross-validation details (10-fold Crossvalidation)
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0.4258 ± 0.0027 Cross-validation details (10-fold Crossvalidation)
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0.4937 ± 0.0018 Cross-validation details (10-fold Crossvalidation)
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1.1594 ± 0.0059 Cross-validation details (10-fold Crossvalidation)
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0.6415 ± 0.0631 Cross-validation details (10-fold Crossvalidation)
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