Sentence examples for the models were evaluated using from inspiring English sources

The models were evaluated using LOCOCV.

The models were evaluated using MPE, NSE, RMSE and MBE.

The performances of the models were evaluated using four-fold plots and receiver operating characteristic curves.

Predictive capabilities of the models were evaluated using various internal and external validation techniques.

The models were evaluated using a Bayesian approach and subjected to posterior scrutiny based on several diagnostics.

The performance of the models were evaluated using the mean square error (MSE), average absolute relative error (MAE), Chi square test (X2) and cross correlation coefficients (R).

The performance of the models was evaluated using MAE and RMSE.

Goodness-of-fit of the models was evaluated using the following indices: χ 2, the NFI, NNFI, CFI, and RMSEA.

The performance of the method and the models are evaluated using simulated data from a six electrode EIT measurement configuration.

The performance of the models was evaluated using a non-dependent threshold method: the Receiver Operating Characteristic (ROC) curve.

The predictive ability of the models was evaluated using Y-randomization test, cross-validation and external test set.