Sentence examples for optimal predictive performance from inspiring English sources

We demonstrated that Bayesian optimization not only provides better, more efficient classification but is also much faster the number of iterations it required for reaching optimal predictive performance was the lowest out of the all tested optimization methods.

Parsimonious SOC models developed using four minimal-optimal variable selection techniques and simulated annealing yielded optimal predictive performance with minimal model complexity.

Sets of data were analyzed through machine learning process to select the optimal set of parameters, learning algorithm and model parameter so that the system resulted from the learning process could deliver the optimal predictive performance for appliance loads.

Finally, the training phase allows the determination of the weight distribution on all feature types (general and specific) to obtain optimal predictive performance Several SH3 domains in the human genome bind strongly with class I and/or class II peptides.

As ScO2 after all influential factors had best predictive performance, its optimal threshold for POCD detection was determined.

Further inputs are then added in stepwise fashion (generating three-input models, four-input models, and so on) until no further improvement is obtained and an optimal model with the best predictive performance is generated.

Also, we have performed a study using the "Double Cross-Validation" tool on three different datasets in order to find out which technique among the hold-out and double cross-validation performs better in the selection of an optimal model in terms of model predictive performance checked on the test set.

Receiver operating characteristic (ROC) curve were used to compare the predictive performance and to identify the optimal cut-off points, sensitivity and specificity of these indices for gout in men.

ScO2 after all influential factors (anesthesia induction, cement implantation and tourniquet deflation) had the best predictive performance for POCD AUCC = 0.742), and the optimal threshold was 66.5 %.

With increasing interindividual variability, there was a trend towards larger optimal models, but with respect to both lowest AIC c and best predictive performance.

On the other hand, conclusive selection of the optimal predictor set was also made on the basis of the testing data, optimizing the capacity of the model to maintain good predictive performance on data not used for training.