Sentence examples for model evaluation with from inspiring English sources

IoT Edge, as well as Windows 10 IoT and Azure Machine Learning, will also soon support hardware-accelerated model evaluation with DirextX 12 GPU, which is available in virtually every modern Windows PC.

Model evaluation with independent data also showed a better predictive capacity of the GA approach (RMSE = 0.07) compared to NLR (RMSE = 0.19) and ANN (RMSE = 0.11) alternatives.

The statistical learning framework involves cross-validation (CV) training and testing data and a separate hold-out data set for model evaluation, with the goal of optimizing predictive performance by controlling for model overfit.

Of these plots, 10% were held out for model evaluation with stratified random sampling, and the other 90% were used as training data to develop the regression tree model.

Yet, the use of cross validation throughout the full model selection process coupled with a very stringent model evaluation with an independent data set with data from different sources, which produced similar results to the training-validation dataset, is a guarantee that these problems are minimized and of reduced impact respective to its application to a real world scenario.

The ROC curves were used in model evaluation with the pROC package in R. The statistical significance (P-value) of the difference between the areas under the curves was calculated using the Delong method in the same package.

A sensitivity analysis was performed to contrast single-trait sire and animal model evaluations with different heritabilities, multiple-trait animal model evaluations with different degrees of genetic correlations and models with maternal effects.

For each of these we will develop a theory of change and model evaluation plans with the intention of comparing processes and outcomes.

Rarely, model evaluation includes comparisons with model outputs from approaches that are based on completely different ecosystem-theoretical concepts.

Model evaluation was performed with a predictive check.

The last step of the model evaluation stage deals with the generalizability/external validity of the animal model.