AdaBoost
Exponential Loss
The loss function used by AdaBoost that exponentially penalizes classification errors, thereby encouraging a rapid correction of misclassified samples.
← WsteczThe loss function used by AdaBoost that exponentially penalizes classification errors, thereby encouraging a rapid correction of misclassified samples.
← Wstecz