| 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 | 47264 |
0.6917 ± 0.0404 Per class Cross-validation details (10-fold Crossvalidation)
|
0.3614 Per class |
0.2978 ± 0.0444 Cross-validation details (10-fold Crossvalidation)
|
0.1766 ± 0.0397 Cross-validation details (10-fold Crossvalidation)
|
0.1624 ± 0.0056 Cross-validation details (10-fold Crossvalidation)
|
0.18 Cross-validation details (10-fold Crossvalidation)
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0.368 ± 0.0399 Cross-validation details (10-fold Crossvalidation)
|
2000 Per class Cross-validation details (10-fold Crossvalidation) |
0.4513 Per class |
0.368 ± 0.0399 Cross-validation details (10-fold Crossvalidation)
|
3.3219 Cross-validation details (10-fold Crossvalidation)
|
0.9023 ± 0.0314 Cross-validation details (10-fold Crossvalidation)
|
0.3 Cross-validation details (10-fold Crossvalidation)
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0.2873 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
|
0.9578 ± 0.0261 Cross-validation details (10-fold Crossvalidation)
|
0.368 ± 0.0399 Cross-validation details (10-fold Crossvalidation)
|