Statements (33)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:model
|
| gptkbp:alternativeTo |
gptkb:Bagging
gptkb:Random_Forest |
| gptkbp:basedOn |
ensemble learning
|
| gptkbp:canBe |
computationally intensive
missing data categorical features slow to train |
| gptkbp:category |
supervised learning
|
| gptkbp:developedBy |
gptkb:Jerome_H._Friedman
|
| https://www.w3.org/2000/01/rdf-schema#label |
Gradient Boosting
|
| gptkbp:implementedIn |
gptkb:CatBoost_library
gptkb:LightGBM_library gptkb:XGBoost_library gptkb:scikit-learn |
| gptkbp:improves |
prediction accuracy
|
| gptkbp:introducedIn |
1999
|
| gptkbp:output |
predictive model
|
| gptkbp:reduces |
loss function
|
| gptkbp:relatedTo |
gptkb:CatBoost
gptkb:LightGBM gptkb:XGBoost gptkb:AdaBoost |
| gptkbp:requires |
hyperparameter tuning
training data |
| gptkbp:suffersFrom |
overfitting
|
| gptkbp:usedFor |
gptkb:dictionary
regression |
| gptkbp:uses |
gradient descent
decision trees |
| gptkbp:worksWith |
sequentially adding models
|
| gptkbp:bfsParent |
gptkb:AdaBoost
|
| gptkbp:bfsLayer |
6
|