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The GA approach is composed by five hierarchical levels and has the global goal of maximizing the prediction accuracy.
The SIR dynamics (Section "Epidemiological dynamics and information spreading: predictive metacommunity model") is calibrated on the range of the outbreak velocity and arrival times, and is simulated by maximizing the prediction accuracy of the observed outbreak patterns in terms of cumulative outbreaks.
We performed a series of calculations to optimize the parameters by maximizing the prediction accuracy.
After maximizing the prediction power the utility of generalizing predictions on different array experiments and platforms were assessed.
The LDA is then performed to obtain a linear discriminant function for the two risk classes by maximizing the prediction power or minimizing the overall classification error both for false positives and false negatives with equal weights.
To select a minimal set of m informative PCPs from n = 531 PCPs while maximizing the prediction accuracy of using these m features for designing an SVM classifier is a bi-objective combinatorial optimization problem C n, m).
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In particular, visual validation should not be used to maximize the prediction accuracy on a single test set, as this would most likely not improve the predictivity of the (Q SAR model.
This is to minimize the error and maximize the prediction capacity of the models.
The feature with the highest usage score is the most important feature because it maximizes the prediction performance.
The algorithm maximizes the prediction accuracy for locations without measurements using the V-fold cross-validation technique, and it reduces overfitting compared to other approaches.
The proposed scoring features are derived both from tested as well as novel approaches to maximize the prediction accuracy of functionally-relevant interactions, and to efficiently filter out random or irrelevant interactions.
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