| 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 | 62072 |
0.966 ± 0.0013 Per class Cross-validation details (10-fold Crossvalidation)
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0.9119 ± 0.0031 Per class Cross-validation details (10-fold Crossvalidation)
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0.7815 ± 0.0077 Cross-validation details (10-fold Crossvalidation)
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-0.358 ± 0.0009 Cross-validation details (10-fold Crossvalidation)
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0.4801 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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0.4037 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.9121 ± 0.0031 Cross-validation details (10-fold Crossvalidation)
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130064 Per class Cross-validation details (10-fold Crossvalidation) |
0.9118 ± 0.0031 Per class Cross-validation details (10-fold Crossvalidation)
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0.9121 ± 0.0031 Cross-validation details (10-fold Crossvalidation)
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0.8563 ± 0 Cross-validation details (10-fold Crossvalidation)
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1.189 ± 0.0006 Cross-validation details (10-fold Crossvalidation)
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0.4493 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4803 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
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1.0689 ± 0.0005 Cross-validation details (10-fold Crossvalidation)
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0.8893 ± 0.0042 Cross-validation details (10-fold Crossvalidation)
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