Sentence examples for modeling datasets were from inspiring English sources

The modeling datasets were split into training and validation subsets.

The predicting models built by CLR and ANN in modeling datasets were applied to testing datasets for generalization study.

In ANN analyses, the participants in each modeling dataset were further randomly divided into two subsets: 9/10 as the training subsets and 1/10 as the validation subsets also based on the principle of 10-fold cross validation.

Datasets were divided into modeling and validation datasets.

For discrimination in modeling datasets, ANN was significantly higher than CLR in AUROC and accuracy in 16- and 6-variable models (Table 2).

The same 85% training datasets were used within the model-building process for all models, while the 15% testing datasets was withheld completely from the modeling experiments to evaluate the predictive accuracy of the models post hoc.

Accordingly, 99 datasets were collected from the experiments and then by a modeling algorithm called gene expression programing (GEP), a mathematical relation between the CIE and process parameters was developed.

Two published datasets were used.

Two ROI datasets were created.

Second, all datasets were normalized.

The hydrological modeling evaluation of these datasets was performed over 424 basins from the MOPEX database.