| 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 | 41120 |
0.9528 ± 0.2267 Per class Cross-validation details (10-fold Crossvalidation)
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0.7053 ± 0.0597 Cross-validation details (10-fold Crossvalidation)
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-0.5461 ± 0.2711 Cross-validation details (10-fold Crossvalidation)
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0.1468 ± 0.0266 Cross-validation details (10-fold Crossvalidation)
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0.1016 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.8837 ± 0.026 Cross-validation details (10-fold Crossvalidation)
|
58000 Per class Cross-validation details (10-fold Crossvalidation) |
0.8837 ± 0.026 Cross-validation details (10-fold Crossvalidation)
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0.9603 ± 0.0009 Cross-validation details (10-fold Crossvalidation)
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1.4451 ± 0.2623 Cross-validation details (10-fold Crossvalidation)
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0.2254 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.2515 ± 0.0298 Cross-validation details (10-fold Crossvalidation)
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1.1158 ± 0.1321 Cross-validation details (10-fold Crossvalidation)
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0.457 ± 0.0598 Cross-validation details (10-fold Crossvalidation)
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