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In our example, prediction errors indicate either sites where transmission occurs but is not predicted (suggesting different ecologic relationships requiring further research) or sites where transmission is predicted but not observed (possibly representing under-reporting, and therefore priority areas when revising surveillance systems).
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Model prediction error was determined by calculating Mean Squared Error (MSE) and Mean Residual Deviance (MRD).
Model prediction error is also important.
For example, a prediction error from the hippocampus could be transmitted to midbrain-striatal neurons along pathways that do not initially include the prefrontal cortex.
However, some predicted internal myristoylation sites could be indicative of gene prediction errors, for example choosing the wrong methionine residue as a start site, or fusing two distinct proteins into a single predicted gene product.
For example, the difference in the prediction errors of the true and the complex model structure was, in average 2.03 % of the prediction error of the true model structure obtained with the Sln1/Sho1 scheme.
Predictions are required for assessing model performance through the estimation of various measures: for example, mean squared prediction error (MSPE), R measures, area under the receiver operating curve (AUROC) and goodness-of-fit measures (Hosmer and Lemeshow, 1989, Chapter 5).
Figure 6 shows an example of a prediction error for the acetylcholinesterase reaction.
For example, the average prediction error increases from 550 for two ancestries to 639 km for four ancestral locations (Table 2).
For a large test bed of examples, the empirical mean squared prediction errors are compared at a grid of inputs for each test surface using a statistically calibrated Bayesian predictor based on the data from each design.
Measure d1 is therefore more appropriate than the euclidean metric d2, for example, because it does not shrink continuous prediction errors in [ 0,1].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com