<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the R² indicates the precision, and the slope indicates the trueness of the models. The significance of the adjusted-R² was tested with a F test (*** p<0.001, ** p<0.01, * p<0.05, ns = non-significant)</p><p>Accuracy of the different maps for different cell resolutions.</p
<p><i>ME</i> is the mean error, <i>RMSE</i> the root mean squared error, sg1km are the SoilGrids1km ...
<p>(a) The predicted probability compared to the actual probability from the validation data for all...
<p>Comparison of Root Mean Square Errors (RMSE) between the Fossa Carolina and Altmühl validation po...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to e...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>The accuracy values is plotted for each model. The bars indicate the measured accuracy value. (a)...
On the displayed scatter plots, the x-coordinate corresponds to the true task score of a team, the y...
<p>The sand classes are 0–25%, 25–50%, 50–75%, 75–100% and the SOC classes are 0–25 g C kg<sup>−1</s...
Provides the software estimation research community with a better understanding of the meaning of, a...
Fluctuation of average accuracy in single-image-unit-based-prediction (a) and patient-unit-based-pre...
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
<p>The root mean square errors (RMSE) of our models were 1.48 cm in X-Y and 1.35 cm in Z, with model...
<p><i>ME</i> is the mean error, <i>RMSE</i> the root mean squared error, sg1km are the SoilGrids1km ...
<p>(a) The predicted probability compared to the actual probability from the validation data for all...
<p>Comparison of Root Mean Square Errors (RMSE) between the Fossa Carolina and Altmühl validation po...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
The root-mean-square error (RMSE) for effect of cell distribution and cell lag on the model fit to e...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>The accuracy values is plotted for each model. The bars indicate the measured accuracy value. (a)...
On the displayed scatter plots, the x-coordinate corresponds to the true task score of a team, the y...
<p>The sand classes are 0–25%, 25–50%, 50–75%, 75–100% and the SOC classes are 0–25 g C kg<sup>−1</s...
Provides the software estimation research community with a better understanding of the meaning of, a...
Fluctuation of average accuracy in single-image-unit-based-prediction (a) and patient-unit-based-pre...
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
<p>The root mean square errors (RMSE) of our models were 1.48 cm in X-Y and 1.35 cm in Z, with model...
<p><i>ME</i> is the mean error, <i>RMSE</i> the root mean squared error, sg1km are the SoilGrids1km ...
<p>(a) The predicted probability compared to the actual probability from the validation data for all...
<p>Comparison of Root Mean Square Errors (RMSE) between the Fossa Carolina and Altmühl validation po...