Sentence examples for gives higher precision from inspiring English sources

At comparable levels of recall, we see that CNVhac gives higher precision than Birdsuite.

Our results, however, show that there indeed exists an alternative which gives higher precision.

Among the 10 E. coli datasets, SSM gives higher precision scores (when m = 2) for 6 datasets than DBN.

Among the 10 yeast datasets, SSM gives higher precision scores (when m = 2) for 4 datasets than DBN and the same precision scores as DBN for 2 datasets.

A complete performance comparison of the four algorithms in terms of precision and recall is given in Figure 5 and the corresponding data given in Table 1, which shows that Friedman's method gives higher precision and recall than the method of Murphy&Zou in all four networks.

Results from this comparison indicate that our method gives higher precision rates for CC and MF categories of 58% (threshold = 33), and 40% (threshold = 28) respectively compared to precision rates of 30% and 18% respectively (at the same thresholds) for CC and MF predictions generated using randomized PPI networks.

This example is instructive because diagnostic markers allow use of the closed-form MLE's as benchmarks for testing the optimization, and the large number of markers gives high precision in evaluating how the distribution of hybrid genotypes varies across populations and whether any populations might contain putatively pure parentals or F1's.

The scenario with five times more individuals than loci gave higher precision in both methods.

For the PE alignment, on average, BWA-SW has a higher recall than Bowtie2, whereas the latter gives a higher precision.

The algorithm is able to capture the correlation between consecutive time slices in both score function and learning procedure, thus Friedman's score metrics gives a higher precision and recall than the naive REVEAL algorithm application in the absence or presence of preprocessed network generated by Zou&Conzen's algorithm.

For these two proteins, PICKY gives high recall rates but low precision values.