Sentence examples for better prediction ability from inspiring English sources

Indeed, this dataset was more internally consistent thus contributing a better prediction ability of the models.

In minimal growth medium, 111 genes were identified as essential for cell growth, whereas 66 essential genes were identified in yeast extract medium, which were verified by database of essential genes, suggesting a better prediction ability of iYL_2.0 in comparison with other existing models.

The AUC value of our model for invasive records derived from natural history criteria was higher than all AUC values obtained from random variable selection confirming a better prediction ability (AUC ranges seven random variables: native: 0.987 0.994, invasive: 0.587 0.847, AUC ranges five random variables: native: 0.977 0.994, invasive: 0.569 0.855; AUC data set 'natural history'  = 0.861).

In a retrospective evaluation of 760 patients the delta MELD score had better prediction ability for mortality than the baseline MELD score [ 20].

In Table 4, models 6, 7, 8, and 9 presented the lowest Brier scores, so these four models had better prediction ability.

Models BIR1 and BIR2, which explicitly considered the decay of the singular values in the prior distribution, in general had greater average correlations and lower average PMSE, indicating better prediction ability than BRR, BIRR, and BAI.

The AUC (area under curve) value also indicated that Random Forest classifier can achieves better prediction abilities than others for select NR-inhibitors.

Multiple measurements may have better prediction power.

The more concave the curve, the better the prediction ability.

Predictive ability of each model was assessed by the sum of χ values and the proportion of wrong predictions for mastitis incidence, where smaller values indicate better predictive ability.

We attribute this slightly better predictive ability of IBS-GS to the inclusion of LD information in the prediction of breeding values, although this may also be a result of the rather simplified assumptions made in the stochastic simulation.