| 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 | 64463 |
0.8517 ± 0.0219 Per class Cross-validation details (10-fold Crossvalidation)
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0.6271 ± 0.0563 Per class Cross-validation details (10-fold Crossvalidation)
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0.4726 ± 0.0829 Cross-validation details (10-fold Crossvalidation)
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0.2078 ± 0.0141 Cross-validation details (10-fold Crossvalidation)
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0.3316 ± 0.0035 Cross-validation details (10-fold Crossvalidation)
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0.3748 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.6052 ± 0.0619 Cross-validation details (10-fold Crossvalidation)
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846 Per class Cross-validation details (10-fold Crossvalidation) |
0.6683 ± 0.0612 Per class Cross-validation details (10-fold Crossvalidation)
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0.6052 ± 0.0619 Cross-validation details (10-fold Crossvalidation)
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1.9991 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.8845 ± 0.0094 Cross-validation details (10-fold Crossvalidation)
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0.4329 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.3925 ± 0.0036 Cross-validation details (10-fold Crossvalidation)
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0.9067 ± 0.0083 Cross-validation details (10-fold Crossvalidation)
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0.6063 ± 0.0604 Cross-validation details (10-fold Crossvalidation)
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