Exponential loss functionIt is a commonly used loss function in the AdaBoost algorithm. Its function expression is in exponential form, as shown in the following diagram.

Common loss errors

• Exponential Loss: Mainly used in Adaboost ensemble learning algorithm;
• Hinge Loss: Mainly used for support vector machine SVM;
• Cross Entropy Loss, Softmax Loss: Mainly used for Logistic regression and Softmax classification;
• Square Loss: Mainly used for least squares method OLS;
• Exponential Loss: Mainly used in Adaboost ensemble learning algorithm;
• Other losses: such as 0-1 loss, absolute value loss

References

【1】Let’s talk about loss functions in machine learning