In statistics, the mean absolute error (MAE) is a way to measure the accuracy of a given model. It is calculated as:…
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The mean absolute percentage error (MAPE) is a metric that tells us how far apart our predicted values are from our observed…
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The mean square error (MSE) is a metric that tells us how far apart our predicted values are from our observed values…
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The root mean square error (RMSE) is a metric that tells us how far apart our predicted values are from our observed…