<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>Evaluation of the accuracy of the different models at operational scales.</p
<p>Mean measures of viscoelastic model prediction quality: (a) <i>R</i><sup>2</sup> and (b): root-me...
<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and ...
he standard deviation of prediction errors (SDEP) is used to evaluate and compare the predictive abi...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Predictive accuracy evaluated via the root mean square error (RMSE) of autoregressive integrated ...
On the displayed scatter plots, the x-coordinate corresponds to the true task score of a team, the y...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
Provides the software estimation research community with a better understanding of the meaning of, a...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Mean measures of viscoelastic model prediction quality: (a) <i>R</i><sup>2</sup> and (b): root-me...
<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and ...
he standard deviation of prediction errors (SDEP) is used to evaluate and compare the predictive abi...
<p><sup>a</sup> The root mean square error of prediction (RMSEP) indicates the overall accuracy, the...
<p>Comparison prediction accuracy of model with <i>p</i> = 1000 and <i>p</i> = 200.</p
<p>Accuracy of predictive models with respect to <i>K</i><sub><i>p</i>3</sub>.</p
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Predictive accuracy evaluated via the root mean square error (RMSE) of autoregressive integrated ...
On the displayed scatter plots, the x-coordinate corresponds to the true task score of a team, the y...
<p>Accuracy of the models in the test phase and the 10-fold cross-validation.</p
Assessing the accuracy of predictive models is critical because predictive models have been increasi...
Model-based accuracy of screening and diagnostic tests per category compared to the modelled true st...
Provides the software estimation research community with a better understanding of the meaning of, a...
<p>Note: *** <i>p</i><0.001, ** <i>p</i><0.01. p-values are reported here, but should be interpreted...
Average accuracy, recall, precision, MCC, and AUC measures over 10 folds for the three effector pred...
<p>Mean measures of viscoelastic model prediction quality: (a) <i>R</i><sup>2</sup> and (b): root-me...
<p>A model depending on algorithm, drug and panel is trained, used for prediction on a test set and ...
he standard deviation of prediction errors (SDEP) is used to evaluate and compare the predictive abi...