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Changed function names in README to match actual functions
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“Celine committed Feb 1, 2025
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Expand Up @@ -10,13 +10,13 @@ matrics_calculator provides a lightweight and easy-to-use alternative for calcul
## Features

This package consists of four functions:
- `r_squared`:
- `r_2`:
- This function calculates the R-squared of the model, which measures how well the model explains the variation in the data.
- `mean_absolute_error`:
- `MAE`:
- This function finds the average difference between predicted and actual values.
- `mean_squared_error`:
- `MSE`:
- This function calculates the average of the squared differences between predictions and actual values.
- `mean_absolute_percentage_error`:
- `MAPE`:
- This function shows prediction error as a percentage, making it easy to understand.

## matrics_calculator in the Python Ecosystem
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