| 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 | 18844 |
0.9367 ± 0.0131 Per class Cross-validation details (10-fold Crossvalidation)
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0.8342 ± 0.0242 Per class Cross-validation details (10-fold Crossvalidation)
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0.6396 ± 0.0546 Cross-validation details (10-fold Crossvalidation)
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0.5661 ± 0.0268 Cross-validation details (10-fold Crossvalidation)
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0.1151 ± 0.0061 Cross-validation details (10-fold Crossvalidation)
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0.229 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.8432 ± 0.0199 Cross-validation details (10-fold Crossvalidation)
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1728 Per class Cross-validation details (10-fold Crossvalidation) |
0.8372 ± 0.0235 Per class Cross-validation details (10-fold Crossvalidation)
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0.8432 ± 0.0199 Cross-validation details (10-fold Crossvalidation)
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1.2058 ± 0.0088 Cross-validation details (10-fold Crossvalidation)
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0.5028 ± 0.0264 Cross-validation details (10-fold Crossvalidation)
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0.3381 ± 0.0008 Cross-validation details (10-fold Crossvalidation)
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0.254 ± 0.0104 Cross-validation details (10-fold Crossvalidation)
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0.7513 ± 0.0309 Cross-validation details (10-fold Crossvalidation)
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0.7828 ± 0.0455 Cross-validation details (10-fold Crossvalidation)
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