Sentence examples for optimized prediction accuracy from inspiring English sources

This is because the quantities that can be shown to be (locally) optimized by some training algorithms do not necessarily translate into an optimized prediction accuracy as defined by us here.

The prediction accuracy of optimized neural network model with genetic algorithm had a root mean-squared error of 0.03 nm/min.

These analyses suggest that while the neuronal proportion prediction accuracy is optimized with large sets of CETS markers, the performance of the algorithm in subset of these markers is adequate to generate accurate predictions and is dependent only on relative methylation as opposed to absolute methylation signals.

The optimized prediction model was built with the best prediction accuracy in the training dataset, and then, the sensitivity, specificity, accuracy were obtained from logistic regression, SVM, random forest and Bayes tree model in the test dataset with previous parameters applied in the training stage.

The prediction accuracy of the optimized ANN model was also compared with that of Gibson Ashby equations.

Extensive simulation results demonstrate that the proposed algorithms optimized by the PSO algorithm can improve prediction accuracy of the GPR model.

Amongst all the hybrid models developed, the SVM hybrid-6 model trained with secondary structure composition and PSSM profile optimized with RBF kernel, achieving the competing prediction accuracy with that of PSSM based model of 92.14% with sensitivity and specificity of 92.64% and 91.66%, respectively.

The one that achieves the highest prediction accuracy is considered to be optimized feature set selected by IFS.

The optimized model constructed using C4.5 for disease severity has the highest prediction accuracy, lowest misclassification error rate of 80.8 and 19.1%, respectively.

The optimized prediction model with 263 features was also tested on an independent dataset, and the accuracy was still 80.00%.

Compared to its predecessors, Vina features optimized sampling algorithms, new scoring functions, and a support for multithreading to achieve not only higher prediction accuracy but also a significantly improved performance [41].