Understanding metric values
These articles will help you answer the eternal question, is this metric good or not?
This is a topic page, where our content is gathered into helpful groupings
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This topic page covers the following:
1. Regression metrics
a. What is a good value
b. Interpreting values
2. Classification metrics
a. What is a good value
b. Interpreting values
1. Regression metrics
a. What is a good value
b. Interpreting values
2. Classification metrics
a. What is a good value
b. Interpreting values
Regression metrics
What is a good value?
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Knowing whether your metric value is good or not is a common problem, find out for all common regression metrics below
What is a good MSE value?
What is a good RMSE value?
What is a good MAE score?
What is a good R-Squared value?
What is a good MAPE score?
Interpreting values
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When you get your metric value, what does it actually mean?
How to interpret MAPE
How to interpret R Squared
How to interpret RMSE
How to interpret MSE
How to interpret MAE
How do I calculate MAPE with zero values
What is MDAPE and how do I calculate it in Python?
Can percent error be negative?
Classification metrics
What is a good value?
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Classification metrics go beyond just accuracy, but what is a good value for them?
What is a good F1 score?
What is a good AUC score?
What is a good accuracy score?
What is a good balanced accuracy score?
Interpreting values
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Classification metrics can be difficult to interpret, so find out what their values actually mean here
