In this video we will take a quick look at Mean Absolute Error or MAE. We will take a quick look at the definition. Mean Absolute Error is usually used as the loss function of regression algorithms. As the name implies, a lower MAE the better the fit is. Its suggested to Mean Absolute Error when you have outliers rather than Mean Square Error.
🕒🕒Time Stamps🕘🕘
00:00:00:00 Introduction
00:00:05:00 Definition of Mean Absolute Error (MAE)
00:00:14:53 Advantages of Mean Absolute Error over Mean Square Error
00:00:20:00 Mean Absolute Error (MAE) Equation
00:00:35:00 Closing - Don't forget to Subscribe
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