| 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 | 18375 |
0.8165 ± 0.0247 Per class Cross-validation details (10-fold Crossvalidation)
|
0.4939 Per class |
0.4869 ± 0.0124 Cross-validation details (10-fold Crossvalidation)
|
0.373 ± 0.0329 Cross-validation details (10-fold Crossvalidation)
|
0.1864 ± 0.0075 Cross-validation details (10-fold Crossvalidation)
|
0.2449 Cross-validation details (10-fold Crossvalidation)
|
0.5602 ± 0.0106 Cross-validation details (10-fold Crossvalidation)
|
2310 Per class Cross-validation details (10-fold Crossvalidation) |
0.6026 Per class |
0.5602 ± 0.0106 Cross-validation details (10-fold Crossvalidation)
|
2.8074 Cross-validation details (10-fold Crossvalidation)
|
0.7612 ± 0.0307 Cross-validation details (10-fold Crossvalidation)
|
0.3499 Cross-validation details (10-fold Crossvalidation)
|
0.3003 ± 0.006 Cross-validation details (10-fold Crossvalidation)
|
0.8583 ± 0.0173 Cross-validation details (10-fold Crossvalidation)
|
0.5602 ± 0.0106 Cross-validation details (10-fold Crossvalidation)
|