Sentence examples for model importance scores from inspiring English sources

Both F-values and model importance scores show that Site Index derived from LiDAR to be the most useful predictor of the 300 Index of the LiDAR metrics (Fig. 3).

For each model, importance scores for all regulatory relationships were derived and we focused on the 200 000 highest scored regulatory relationships (in the DREAM5 challenge, only the first 100 000 predicted regulations were considered for the competition, we relax the cutoff so that true predictions are less likely to be excluded due to this parameter setting).

The multiple-kernel models have the additional advantage that only a small fraction of genomic regions are used in the final model and the importance scores for these regions are readily available as a model output.

The boxplots comparing accuracies of the models and the mean importance scores for different regions from the multiple-kernel models over the 30 replications are displayed in Figure 4 and Figure 5.

Accuracies for multiple kernel (MK) (five regions per chromosome), linear kernel (Lin), and Gaussian kernel (Gaus) models for degree days to silking and the importance scores from the MK model are displayed in Figure 7 and Figure 8.

Thus, we introduced two methods to assess the statistical significance of the CINC centrality scores for dcGAIN and reGAIN and for Relief-F and Random Forest importance scores: a mixture model approach and permutation testing.

We have also updated the way importance scores for interaction models are generated.

Proteins that differ between treatments will make a greater contribution to the accurate classification of samples in RF models and thus have higher variable importance scores.

The purpose of this second simulation is to evaluate the performance of the importance scores obtained from the multiple-kernel models.

Since G (m ) ^ has standardized columns, | α ^ | can be used as importance scores for the regions in the model.

The F-values and importance scores shown were extracted from all 14 models and averaged where a variable occurred in more than one model.