| 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 | 18196 |
0.9063 ± 0.0078 Per class Cross-validation details (10-fold Crossvalidation)
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0.8842 ± 0.0056 Per class Cross-validation details (10-fold Crossvalidation)
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0.3869 ± 0.033 Cross-validation details (10-fold Crossvalidation)
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-2.988 ± 0.0024 Cross-validation details (10-fold Crossvalidation)
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0.4833 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.2066 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.8967 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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45211 Per class Cross-validation details (10-fold Crossvalidation) |
0.881 ± 0.0063 Per class Cross-validation details (10-fold Crossvalidation)
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0.8967 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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0.5206 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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2.339 ± 0.0013 Cross-validation details (10-fold Crossvalidation)
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0.3214 ± 0.0001 Cross-validation details (10-fold Crossvalidation)
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0.4834 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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1.5041 ± 0.0008 Cross-validation details (10-fold Crossvalidation)
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0.6578 ± 0.0156 Cross-validation details (10-fold Crossvalidation)
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