Sentence examples for models were stable from inspiring English sources

When evaluated with the hindcast datasets, uncertainty values did not increase indicating that the models were stable.

A more detailed discussion of the interrelatedness of the RFs in the network models can be found in Supplement V. Robustness (see Supplement VI) and sensitivity analyses (see Supplement VII) indicated that the network models were stable and network parameters were estimated with a high accuracy.

The standard deviations of the AUC ranged from 0.000 to 0.019 suggesting that the models were stable, i.e. the selection of non-DDI drugs did not affect the results.

The LOOCV analysis indicated that the RF5 and RF10 models were stable resulting RMSE of 13.61 and 13.38% and Bias of −0.09 and −0.27% for the models derived from the 5 and 10 pulses m−2 datasets, respectively.

This clearly indicated the RMSD values of the protein backbone atoms and ligand atoms were always kept around 1.5 Å and 0.4 Å respectively, which showed that the MD-simulated binding models were stable.

Furthermore, the models were stable to the inclusion of additional cohorts.

5-fold cross validation shows that the SVM models are stable across the different descriptor sets whereas the other modelling algorithms are susceptible to a change in descriptors.

If the models are stable, then their re-estimated coefficient should be also similar.

It can be seen clearly that the generated models are stable and predictable statically.

In addition, the between-trial differences in mean EMG-force relationships suggest that the models are stable over time.

Although the SVM models are stable for 1,200 dpi resolutions, the model stability performs poorly when resolution is low (300 to 500 dpi).