Sentence examples for model outperforms both from inspiring English sources

Calibration results show that the proposed model outperforms both the traditional isochrone-based measure and a distance decay model calibrated against the same dataset, better reproducing both the quantity and spatial distribution of perceived opportunities.

The experimental results show that our model outperforms both techniques in terms of SNR improvement and the percentage of crosstalk suppression.

Given the negligible estimated DIF parameters, the testlet model outperforms both LR and HLR in terms of controlling type I error rate.

Second, the Twitter model outperforms both versions of the radiation model for all values of λ considered (and, as the confidence intervals of the radiation models do not overlap with any of the Twitter models, these differences could be considered statistically significant).

The comparative performance of Pearson's correlation, instantaneous and causal influence from our model shows that Pearson's correlation performs better than the instantaneous influence from our model while the causal influences from our model outperforms both the instantaneous metrics.

The full model outperforms both models assuming strand symmetry, i.e. where mutation rates from nucleotide i to j is equal the mutation rates from j to i or models assuming the same mutation rate matrix in all lineages (Table 3).

However, the simultaneous consideration of absolute and relative cost differences makes the hybrid model outperform both the logit and weibit models.

When there is impact between groups, the testlet model outperform both LR and HLR, and their average bias are 0.36, −0.42, and −0.44, respectively.

In terms of model accuracy, the Spitz model had higher PPV than did the LLP and Bach models among both types of ever smokers, but the LLP model outperformed both the Spitz and Bach models in terms of the NPV.

The model developed in this paper outperforms both the simpler and more complex process representations, with the best fit simulation correctly predicting 81.9% of inundated and non-inundated areas.

Comparison of the suggested neural network model with the most important existing correlations shows that the proposed neuromorphic model outperforms the other alternatives both in accuracy and generality.