| 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 | 14670 |
0.847 ± 0.0051 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7125 ± 0.0072 Per class Cross-validation details (10-fold Crossvalidation)
|
0.5057 ± 0.0132 Cross-validation details (10-fold Crossvalidation)
|
-0.0675 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
0.4381 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.3832 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.7236 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
|
44819 Per class Cross-validation details (10-fold Crossvalidation) |
0.7048 ± 0.0073 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7236 ± 0.0078 Cross-validation details (10-fold Crossvalidation)
|
1.3491 ± 0.0003 Cross-validation details (10-fold Crossvalidation)
|
1.1432 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
|
0.4377 ± 0 Cross-validation details (10-fold Crossvalidation)
|
0.4647 ± 0 Cross-validation details (10-fold Crossvalidation)
|
1.0617 ± 0.0002 Cross-validation details (10-fold Crossvalidation)
|
0.5717 ± 0.0085 Cross-validation details (10-fold Crossvalidation)
|