| 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 | 6892 |
0.7387 ± 0.0453 Per class Cross-validation details (10-fold Crossvalidation)
|
0.3382 Per class |
0.3 ± 0.0833 Cross-validation details (10-fold Crossvalidation)
|
0.1862 ± 0.0283 Cross-validation details (10-fold Crossvalidation)
|
0.1737 ± 0.0045 Cross-validation details (10-fold Crossvalidation)
|
0.1975 Cross-validation details (10-fold Crossvalidation)
|
0.3778 ± 0.074 Cross-validation details (10-fold Crossvalidation)
|
1080 Per class Cross-validation details (10-fold Crossvalidation) |
0.4306 Per class |
0.3778 ± 0.074 Cross-validation details (10-fold Crossvalidation)
|
3.1699 Cross-validation details (10-fold Crossvalidation)
|
0.8791 ± 0.0225 Cross-validation details (10-fold Crossvalidation)
|
0.3143 Cross-validation details (10-fold Crossvalidation)
|
0.2918 ± 0.0048 Cross-validation details (10-fold Crossvalidation)
|
0.9286 ± 0.0152 Cross-validation details (10-fold Crossvalidation)
|
0.3778 ± 0.074 Cross-validation details (10-fold Crossvalidation)
|