Machine Learning Metrics

Regression:

Some common metrics used for measuring model effectiveness on regression problems:

  • MAE(Mean Absolute Error)
  • MSE(Mean Squared Error)
  • MSPE(Mean Squared Percentage Error)
  • MAPE(Mean Absolute Percentage Error)
  • RMSE (Root Mean Square Error)

Why is Residual Analysis Important?

How to make the Regression model statistically significant:

Classification: