<p>Results for the best forecasting performance are displayed in bold. Overall, the <i>DECF</i> and <i>DECS</i> methods have the smallest prediction errors, outperforming the other methods for all but time series <i>PA 3</i>, <i>KP1</i>, <i>KP3</i> and <i>KP 6</i> when we consider the MAE metric.</p
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
<p>These results are aggregated across all provinces. The <i>R</i><sup>2</sup> and 95% PI coverage c...
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Forecasting is a vital part of the planning process of most private and public organizations. A numb...
Comparison of the mean absolute error (MAE) and root mean square error (RMSE) of the proposed model ...
Comparison of the normalized mean absolute error (MAE) and normalized root mean square error (RMSE) ...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
<p>Mean squared error (MSE) in predictions is presented for each model at each forecast horizon (1, ...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
(A) Weekly mean absolute error for the n-week ahead forecast (1 week, green; 2 weeks, purple; 3 week...
<div><p>Machine Learning (ML) methods have been proposed in the academic literature as alternatives ...
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to stati...
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
<p>These results are aggregated across all provinces. The <i>R</i><sup>2</sup> and 95% PI coverage c...
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Forecasting is a vital part of the planning process of most private and public organizations. A numb...
Comparison of the mean absolute error (MAE) and root mean square error (RMSE) of the proposed model ...
Comparison of the normalized mean absolute error (MAE) and normalized root mean square error (RMSE) ...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
<p>Mean squared error (MSE) in predictions is presented for each model at each forecast horizon (1, ...
This study evaluated measures for making comparisons of errors across time series. We analyzed 90 an...
Comparison of existing dTm prediction methods dataset statistics Q (accuracy), MAE (mean absolute er...
(A) Weekly mean absolute error for the n-week ahead forecast (1 week, green; 2 weeks, purple; 3 week...
<div><p>Machine Learning (ML) methods have been proposed in the academic literature as alternatives ...
Machine Learning (ML) methods have been proposed in the academic literature as alternatives to stati...
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
<p>These results are aggregated across all provinces. The <i>R</i><sup>2</sup> and 95% PI coverage c...
Many accuracy measures have been proposed in the past for time series forecasting comparisons. Howev...
DOI
Add to ORKG