[Learn] the loss of function of depth summary && Machine Learning Metrics summary

Loss function summary

ref

• Loss function summary [blog]

Classification loss function

1. Hing-Loss

2. Log-Loss (Loss equivalence and cross entropy)

3. Exponential Loss

4. Zero-One Loss

Return loss function

1. Square Loss

2. Absolute Loss

3. Huber Loss

4. Fair Loss

5. Log-Cosh Loss

6. Quantile Loss

• Commmon Loss functions in Machine Learning [url] [cheat sheet]

Regression Losses

1. Mean Square Error/Quadratic Loss/ L2 Loss

2. Mean Absolute Error/L1 Loss
   

Classification Losses

1. Hinge Loss/ Multi-class SVM Loss
   

2. Cross Entropy Loss / Negative Log Likelihood
   

Machine Learning Metrics summary