| 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 | 49320 |
0.5269 ± 0.0059 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5158 ± 0.0055 Per class Cross-validation details (10-fold Crossvalidation)
|
0.0376 ± 0.0111 Cross-validation details (10-fold Crossvalidation)
|
-0 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.4999 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5197 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
|
96320 Per class Cross-validation details (10-fold Crossvalidation) |
0.5194 ± 0.0057 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5197 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
|
0.9999 ± 0 Cross-validation details (10-fold Crossvalidation)
|
1 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5 ± 0 Cross-validation details (10-fold Crossvalidation)
|
1 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.5188 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
|