Foresight has printed many articles about the calculation, interpretation, and especially the dangers of percentage error metrics, such as the MAPE. Stephan and Roland now add to the list of dangers, showing how you can be led astray if you use the MAPE to select a best forecasting method or to reward forecast accuracy. Minimizing the MAPE is often not a good idea. Copyright International Institute of Forecasters, 201
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forec...
<p>The average of five error measures for EMD-HW bagging and fourteen forecasting methods at 1 to 6 ...
Foresight’s Summer 2010 issue contained a letter to the editor from David Hawitt, suggesting that fo...
The mean absolute percentage error (MAPE) is one of the most widely used measures of forecast accura...
AbstractThe mean absolute percentage error (MAPE) is one of the most widely used measures of forecas...
Forecasting is a vital part of the planning process of most private and public organizations. A numb...
This article develops a simple theoretical framework to show how forecasters may bias downward point...
Abstract – Professional yield curve forecasters do not necessarily share their end-users ’ objective...
John’s key points are these. • Organizations should consider which service level measure aligns most...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Opinion about the reliability of economic forecasts ranges widely. Some argue that they are literall...
Forecasts are often influential because a low forecast may cause a firm not to launch a new product ...
It’s said that there are two kinds of sins: sins of omission and sins of commission. In this short c...
Forecast adjustment commonly occurs when organizational forecasters adjust a statistical forecast of...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forec...
<p>The average of five error measures for EMD-HW bagging and fourteen forecasting methods at 1 to 6 ...
Foresight’s Summer 2010 issue contained a letter to the editor from David Hawitt, suggesting that fo...
The mean absolute percentage error (MAPE) is one of the most widely used measures of forecast accura...
AbstractThe mean absolute percentage error (MAPE) is one of the most widely used measures of forecas...
Forecasting is a vital part of the planning process of most private and public organizations. A numb...
This article develops a simple theoretical framework to show how forecasters may bias downward point...
Abstract – Professional yield curve forecasters do not necessarily share their end-users ’ objective...
John’s key points are these. • Organizations should consider which service level measure aligns most...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Opinion about the reliability of economic forecasts ranges widely. Some argue that they are literall...
Forecasts are often influential because a low forecast may cause a firm not to launch a new product ...
It’s said that there are two kinds of sins: sins of omission and sins of commission. In this short c...
Forecast adjustment commonly occurs when organizational forecasters adjust a statistical forecast of...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
Surveys show that the mean absolute percentage error (MAPE) is the most widely used measure of forec...
<p>The average of five error measures for EMD-HW bagging and fourteen forecasting methods at 1 to 6 ...