| 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 | 25340 |
0.6098 ± 0.017 Per class Cross-validation details (10-fold Crossvalidation)
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0.2542 ± 0.0692 Cross-validation details (10-fold Crossvalidation)
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0.037 ± 0.0211 Cross-validation details (10-fold Crossvalidation)
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0.213 ± 0.0045 Cross-validation details (10-fold Crossvalidation)
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0.178 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4669 ± 0.0787 Cross-validation details (10-fold Crossvalidation)
|
581012 Per class Cross-validation details (10-fold Crossvalidation) |
0.4669 ± 0.0787 Cross-validation details (10-fold Crossvalidation)
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1.7387 ± 0 Cross-validation details (10-fold Crossvalidation)
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1.1967 ± 0.025 Cross-validation details (10-fold Crossvalidation)
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0.2984 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.3249 ± 0.0063 Cross-validation details (10-fold Crossvalidation)
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1.089 ± 0.021 Cross-validation details (10-fold Crossvalidation)
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0.3662 ± 0.0155 Cross-validation details (10-fold Crossvalidation)
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