| 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 | 24688 |
0.7638 ± 0.1568 Per class Cross-validation details (10-fold Crossvalidation)
|
0.7101 Per class |
0.3488 ± 0.2349 Cross-validation details (10-fold Crossvalidation)
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-0.1931 ± 0.31 Cross-validation details (10-fold Crossvalidation)
|
0.1766 ± 0.0391 Cross-validation details (10-fold Crossvalidation)
|
0.1343 ± 0.0012 Cross-validation details (10-fold Crossvalidation)
|
0.696 ± 0.2002 Cross-validation details (10-fold Crossvalidation)
|
898 Per class Cross-validation details (10-fold Crossvalidation) |
0.811 Per class |
0.696 ± 0.2002 Cross-validation details (10-fold Crossvalidation)
|
1.1915 ± 0.0248 Cross-validation details (10-fold Crossvalidation)
|
1.3146 ± 0.293 Cross-validation details (10-fold Crossvalidation)
|
0.2582 ± 0.0024 Cross-validation details (10-fold Crossvalidation)
|
0.2938 ± 0.043 Cross-validation details (10-fold Crossvalidation)
|
1.1378 ± 0.1688 Cross-validation details (10-fold Crossvalidation)
|