| 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 | 38245 |
0.9952 ± 0.0024 Per class Cross-validation details (10-fold Crossvalidation)
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0.9653 ± 0.0095 Per class Cross-validation details (10-fold Crossvalidation)
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0.9304 ± 0.0191 Cross-validation details (10-fold Crossvalidation)
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0.1857 ± 0.0276 Cross-validation details (10-fold Crossvalidation)
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0.426 ± 0.0134 Cross-validation details (10-fold Crossvalidation)
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0.499 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.9653 ± 0.0095 Cross-validation details (10-fold Crossvalidation)
|
3196 Per class Cross-validation details (10-fold Crossvalidation) |
0.9653 ± 0.0094 Per class Cross-validation details (10-fold Crossvalidation)
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0.9653 ± 0.0095 Cross-validation details (10-fold Crossvalidation)
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0.9986 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.8537 ± 0.0269 Cross-validation details (10-fold Crossvalidation)
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0.4995 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4332 ± 0.0091 Cross-validation details (10-fold Crossvalidation)
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0.8673 ± 0.0182 Cross-validation details (10-fold Crossvalidation)
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0.965 ± 0.0098 Cross-validation details (10-fold Crossvalidation)
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