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Bavly Hanna

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Articles

A systematic comparison of machine learning models for missing value imputation in household electricity consumption data

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By Bavly Hanna, Guandong Xu, Xianzhi Wang, Jahangir Hossain
| Nature Verified
Scale-dependent errors: These metrics are sensitive to the scale of the data and are typically used when comparing forecasts for the same series. Mean squared error (MSE) \(\:\frac{1}{n}\sum\:_{i=1}^{n}{\left({y}_{i}-{\widehat{y}}_{i}\right)}^{2}\) Widely used; forms the basis for many other metrics Sensitive to outliers; scale-dependent Heavily penalize large errors and do not mind the scale dependence Lower is better.
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