Sentence examples for compared to predictors from inspiring English sources

Combining structural graph similarity measures and simple node-based features in a supervised learning approach to link prediction has been also tried in the past [9, 33], showing the improvement of the prediction performance compared to predictors based solely on topological features.

The degree of smoothing was less for predictors in LD with a QTL compared to predictors not in LD with a QTL.

Although dimension reduction with PLS is effective for dealing with the problems of small samples compared to predictors (P > > n) and multi-collinearity among the predictors, all predictors are used in the final model.

An attraction of molecular predictors of genetic risk compared to pedigree predictors is the potential to apply the predictions more widely within populations and across populations.

In that study, a combination of clinical predictors and biomarkers had the best performance for predicting mortality in patients with ARDS compared to clinical predictors or biomarkers alone [13].

These data suggest that a high concordance exists across these multiple predictors, in particular the RS, 70-gene and Intrinsic Subtypes; thus, the new intrinsic gene list and classification method developed here, when compared to other predictors as accomplished in Fan et al. [ 33], showed that a high concordance across predictors exists, which provides additional validation for each predictor.

Our predictor, referred to as SucStruct (Succinylation using Structural features), proved to significantly improve performance when compared to previous predictors, with sensitivity, accuracy and Mathew's correlation coefficient equal to 0.7334 0.7946, 0.7444 0.7608 and 0.4884 0.5240, respectively.

In addition, scores either side of the peak are very low, indicating the reduction in noise achieved by the ensemble approach, compared to individual predictors.

GLM maps present the contrast of each of these tone predictors compared to the other predictors (e.g. high frequency vs. low and medium frequency tones), at a p<0.05 threshold (corrected for multiple comparisons [63]).

The optimal segmentation is computed and compared to a predictor based on marginal posterior modes, and the latter is shown to provide significant improvement in predictive accuracy.

Figure 4 shows how well these three fecal-based tests compared to our predictor's performance in cross-validation.