https://github.com/dms-codes/mean-absolute-error

https://github.com/dms-codes/mean-absolute-error

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/dms-codes/mean-absolute-error
• Owner: dms-codes
• Created: 2024-12-07T01:36:09.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-12-07T01:40:47.000Z (7 months ago)
• Last Synced: 2025-01-18T21:20:02.177Z (6 months ago)
• Language: Python
• Size: 1000 Bytes
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Mean Absolute Error (MAE) Calculation

This Python function calculates the Mean Absolute Error (MAE) between two lists of values.

def mean_absolute_error(actual, calculated):

  """

  Calculates the Mean Absolute Error (MAE) between two lists.

  Args:

    actual: A list of actual values.

    calculated: A list of calculated values.

  Returns:

    The Mean Absolute Error.

  Raises:

    ValueError: If the lengths of the input lists are not equal.

  """

  if len(actual) != len(calculated):

    raise ValueError("Actual and calculated lists must have the same length.")

  errors = [abs(a - c) for a, c in zip(actual, calculated)]

  return sum(errors) / len(actual)