Boosting Flashcards
Models and techniques for Multiple Estimators using guided learning. (7 cards)
1
Q
ADA Boosting
A
Individual points or features are given importance depending on the trueness of the prediction.
Focuses on exponential loss.
2
Q
Boosting
A
Ensemble Learning Technique that relies on dependent models.
3
Q
Error Value
A
4
Q
Gradient Boosting
A
Sequentially repair models based on error rate from previous model.
5
Q
XGBoost
A
Lookup (+delta d value)
Overkill for small datasets
6
Q
init
A
In Gradient Boosting, init is a hyperparameter that specifies an estimator object that is used to compute the initial predictions.
7
Q
A
