This table summarizes the RMSE results for each cell line. We have calculated the discrete RMSE (error related to the discretization of the data) and the model RMSE (caspo-ts error). The Delta column shows the difference between model and discrete RMSE.</p
<p>The root mean squared error (RMSE) distribution of diameter (<i>d</i>) and accumulated volume (<i...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to e...
a<p>The differences with respect to the lowest RMSE values are expressed as a percentage of the lowe...
<p>RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9,...
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Red lines indicate the median model, blue boxes indicate the inter-quartile range, and whiskers indi...
<p>Root mean square error (RMSE) relative to variables total acidity and sugar concentrations measur...
<p>(A–C) Example tuning curves for 4 cells from different modules and three choices of width constan...
<p>The mean RMS-error decreases for increasing DC-gain, M, here shown on a log-log plot. The mean RM...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>The root mean squared error (RMSE) distribution of diameter (<i>d</i>) and accumulated volume (<i...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...
The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to e...
a<p>The differences with respect to the lowest RMSE values are expressed as a percentage of the lowe...
<p>RMSE = root mean square error; N = the number of input of the basic GRNN model. When the N was 9,...
<p>Root mean squared error of prediction (RMSEP) for different number of components of partial least...
<p>The average RMSE is 7.7 from ML-only, and 5.6 from MFlux. Detailed information is in <a href="htt...
Root mean square errors (RMSEopt–Column 2) across the 15 tracking markers between measure and simula...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
Red lines indicate the median model, blue boxes indicate the inter-quartile range, and whiskers indi...
<p>Root mean square error (RMSE) relative to variables total acidity and sugar concentrations measur...
<p>(A–C) Example tuning curves for 4 cells from different modules and three choices of width constan...
<p>The mean RMS-error decreases for increasing DC-gain, M, here shown on a log-log plot. The mean RM...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>The root mean squared error (RMSE) distribution of diameter (<i>d</i>) and accumulated volume (<i...
<p>RMSE = root mean square error, MAE = mean absolute error and MAPE = mean absolute percentage erro...
Root mean square error (RMSE) and mean difference of simulations and observations (BIAS) of SOC stoc...