Model accuracy was measured via the statistical significance of its parameters and its classification ability.
In this thought experiment, percent identity appears to be a poor determinant of model accuracy as measured by the root mean squared deviation (RMSD) of the Cα-trace between the native X-ray structure and the model (Cα RMSD).
The screening part of the model includes diagnostic accuracy measures to identify the likely numbers of false positive and false negative test results.
Consideration of both the transformation kinetics and transformation plasticity are proven to significantly improve model accuracy when comparing measured and predicted residual stress profiles.
Second, salt removal efficiency was quantified and model accuracy was verified measuring the anion (Cl–) concentration, but the cation (K+) is most responsible for degrading the spectrum in the positive mode nano-ESI used here.
Sn and Sp are the most general measures of model accuracy, defined such that (2) measured how many of the true positives the model was able to identify, and (3) measured how many of the positives predicted by the model were true positives.
The model appears unaffected by accuracy measures.
The Brier Score measures model accuracy on patient level by squaring and summing the difference between the predicted and the observed outcome per patient.
Upon analyzing various forecasts in a large database, using various models, forecast samples and accuracy measures, we demonstrate that experts' knowledge, on average, apparently is not associated with variables which are systematically omitted from the statistical models.
Prediction model accuracy was assessed by measuring the area under the ROC curve (AUROC).
