# 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