| 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 | 17241 |
0.7331 ± 0.0092 Per class Cross-validation details (10-fold Crossvalidation)
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0.6327 ± 0.0047 Per class Cross-validation details (10-fold Crossvalidation)
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0.4281 ± 0.0068 Cross-validation details (10-fold Crossvalidation)
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-0.0631 ± 0.001 Cross-validation details (10-fold Crossvalidation)
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0.3703 ± 0.0004 Cross-validation details (10-fold Crossvalidation)
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0.3194 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.6429 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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83733 Per class Cross-validation details (10-fold Crossvalidation) |
0.6298 ± 0.0076 Per class Cross-validation details (10-fold Crossvalidation)
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0.6429 ± 0.0043 Cross-validation details (10-fold Crossvalidation)
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1.5995 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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1.1594 ± 0.0011 Cross-validation details (10-fold Crossvalidation)
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0.3996 ± 0 Cross-validation details (10-fold Crossvalidation)
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0.4277 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
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1.0704 ± 0.0008 Cross-validation details (10-fold Crossvalidation)
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0.4699 ± 0.0035 Cross-validation details (10-fold Crossvalidation)
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