| 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 | 37214 |
0.8834 ± 0.0091 Per class Cross-validation details (10-fold Crossvalidation)
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0.48 ± 0.0358 Per class Cross-validation details (10-fold Crossvalidation)
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0.4459 ± 0.0373 Cross-validation details (10-fold Crossvalidation)
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0.1522 ± 0.0088 Cross-validation details (10-fold Crossvalidation)
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0.1712 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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0.18 Cross-validation details (10-fold Crossvalidation)
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0.5013 ± 0.0336 Cross-validation details (10-fold Crossvalidation)
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70000 Per class Cross-validation details (10-fold Crossvalidation) |
0.5425 ± 0.0252 Per class Cross-validation details (10-fold Crossvalidation)
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0.5013 ± 0.0336 Cross-validation details (10-fold Crossvalidation)
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3.3219 Cross-validation details (10-fold Crossvalidation)
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0.9513 ± 0.0031 Cross-validation details (10-fold Crossvalidation)
|
0.3 Cross-validation details (10-fold Crossvalidation)
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0.2879 ± 0.0007 Cross-validation details (10-fold Crossvalidation)
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0.9595 ± 0.0023 Cross-validation details (10-fold Crossvalidation)
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0.5013 ± 0.0336 Cross-validation details (10-fold Crossvalidation)
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