Machine Learning Tutorial Part 8 | Accuracy(MAE/RMSE) - Python Machine Learning For Beginners

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Machine Learning tutorial | Accuracy(MAE/RMSE) | Artificial Intelligence | Unsupervised learning, Supervised Learning and Reinforcement Learning | k-fold or 5-fold cross validation

The MAE measures the average magnitude of the errors in a set of forecasts, without considering their direction
The RMSE is a quadratic scoring rule which measures the average magnitude of the error.

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Hi,
small error in the MAE calculation at 3:23, you do not take the absolute value of |4-4.5|=0.5, so instead on 1.5/3 it's 2.5/3=0.83. Which makes all your explanation false after :/.
Regards,
Jonathan

jonathandaeden

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