Sentence examples for model training are from inspiring English sources

The small differences in performance observed between ensembles, with the exception of the RF ensemble are negligible, since, in the experience of the authors [68], the standard deviation observed for the (R^{2}_{0 test}) and RMSEtest values when using different samples during model training are between 0.1 and 0.3.

Another potential source of noise is related to the fact that the response variables used in model training are prone to prediction errors, the extent of which can also vary across traits.

After the model training is finished, the test set data are input to the trained model for testing, and the experimental results are showed in Table 2.

A more detailed description about model training is provided below.

Model training is covered, as well as transfer learning and fine-tuning.

Acoustic model training was done using the minimum phone error (MPE) [14] criteria.

The availability of relevant databases for model training is a critical point for ASR systems design.

Note that the process of the model training is reproducible in spite of the randomness on noise injection and model initialization, since the random seed was hard-coded.

The model training was done in an office environment, while in the SV testing phase, the audio signal was corrupted by a Gaussian additive noise.

Model training was based on training data only.

First, our primary biomarker discovery and prediction model training were performed by contrasting familial hypercholesterolemia patients against healthy controls.