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Nomograms are statistical models designed to maximize predictive accuracy.
Thus AIC and BIC might both be optimal criteria, if AIC is aiming to maximize predictive accuracy whereas BIC is aiming to maximize probable truth.
SVMs are a set of related supervised learning methods used for classification and regression (Gunn1998) which use machine learning theory to maximize predictive accuracy while automatically avoiding over-fit to the data.
Once a rule is selected, it is applied to the training data (half the points input into the program) and allowed to evolve to maximize predictive accuracy.
Prior to generating niche models, we evaluated the environmental coverages with a jackknife process, an analysis designed to maximize predictive accuracy while culling coverages prone to spurious overfitting [14], [75], [76].
Moreover, two SVM parameters, cost and gamma value, were optimized to maximize predictive accuracy.
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The number of principal components was optimally calibrated to minimize root mean square error (RMSE) and maximize predictive ability.
Modeling was performed on the first operative washout to maximize predictive benefit.
Here's what organizations need to know in order to minimize potential risks and maximize the predictive accuracy of these tests.
The feature selection problem is cast into an optimization problem with two objectives, one is to minimize the number of chosen features and the other is to maximize the predictive accuracy.
Feature selection problem is cast into an optimization problem with two objectives, one is to minimize the number of chosen features and the other is to maximize the predictive accuracy based on the centroid classification framework.
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