| Issue | #Downvotes for this reason | By |
|---|
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9) | 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 based on [2]_. |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9)_algorithm | "SAMME.R" |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9)_estimator | null |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9)_learning_rate | 1.0 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9)_n_estimators | 50 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(9)_random_state | 43614 |
0.8276 Per class Cross-validation details (10% Holdout set)
|
0.7383 Per class Cross-validation details (10% Holdout set)
|
0.4275 Cross-validation details (10% Holdout set)
|
-0.1181 Cross-validation details (10% Holdout set)
|
0.4901 Cross-validation details (10% Holdout set)
|
0.4589 Cross-validation details (10% Holdout set)
|
0.7431 Cross-validation details (10% Holdout set)
|
253 Per class Cross-validation details (10% Holdout set) |
0.7377 Per class Cross-validation details (10% Holdout set)
|
0.7431 Cross-validation details (10% Holdout set)
|
0.9463 Cross-validation details (10% Holdout set)
|
1.0678 Cross-validation details (10% Holdout set)
|
0.4813 Cross-validation details (10% Holdout set)
|
0.4903 Cross-validation details (10% Holdout set)
|
1.0187 Cross-validation details (10% Holdout set)
|
0.7073 Cross-validation details (10% Holdout set)
|