| 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 | 58885 |
0.8909 ± 0.0118 Per class Cross-validation details (10-fold Crossvalidation)
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0.813 ± 0.013 Per class Cross-validation details (10-fold Crossvalidation)
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0.5446 ± 0.0336 Cross-validation details (10-fold Crossvalidation)
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-0.277 ± 0.0101 Cross-validation details (10-fold Crossvalidation)
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0.4765 ± 0.0024 Cross-validation details (10-fold Crossvalidation)
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0.4147 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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0.8151 ± 0.0118 Cross-validation details (10-fold Crossvalidation)
|
5404 Per class Cross-validation details (10-fold Crossvalidation) |
0.8118 ± 0.0134 Per class Cross-validation details (10-fold Crossvalidation)
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0.8151 ± 0.0118 Cross-validation details (10-fold Crossvalidation)
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0.8732 ± 0.001 Cross-validation details (10-fold Crossvalidation)
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1.149 ± 0.006 Cross-validation details (10-fold Crossvalidation)
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0.4554 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.4784 ± 0.0021 Cross-validation details (10-fold Crossvalidation)
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1.0505 ± 0.0047 Cross-validation details (10-fold Crossvalidation)
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0.7665 ± 0.0205 Cross-validation details (10-fold Crossvalidation)
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