Sentence examples for models using cross-dataset from inspiring English sources

We test the generalization of our models using cross-dataset experiments.

As previously described, we have tested the PiPS models by using cross validation techniques, but their accuracy has not yet been assessed in independent datasets.

The authors applied five-way cross-validation to all models using several datasets, among which was the NCI antiviral dataset.

Third, we performed a cross-validation test to evaluate the fit of different models on the various datasets: CAT, GTR and WAG/mtREV models were compared using cross-validation as described in Lartillot et al. [ 31].

Remaining dataset (80% data of whole dataset) called New training dataset, were used for training, testing and evaluation of our models using five-fold cross validation.

In this study, the optimized number of trees were obtained from dataset used for training; estimated during development of models using five-fold cross validation.

Using cross-validation and independent datasets, the cleverSuite reproduces experimental findings with great accuracy and provides models that can be used for future investigations.

No matter how the validation dataset is chosen, the evaluation of prediction models using validation data is known to yield more pessimistic results than the evaluation performed on the training dataset using cross-validation or related techniques [ 6].

We evaluated how the site-heterogeneous CAT and CATGTR models perform on mitochondrial protein amino acid dataset (AliMG) compared to the reference site-homogeneous model GTR under BI by using cross-validation.

We constructed a perfect fit regression model to predict the score by its items, using cross-sectional patient observations from the routine dataset (n = 767).

Predictions were evaluated using cross validation and an independent dataset.