Sentence examples for benchmark datasets suggest that from inspiring English sources
Experimental results on two stringent benchmark datasets suggest that Gram-LocEN significantly outperforms existing state-of-the-art multi-label predictors for both Gram-positive and Gram-negative bacteria.
As shown in Table 7, the sensitivity derived from all the algorithms are very high for Gavin_2006 dataset, suggesting that almost all benchmark complexes in the derived set are recovered by predicted clusters.
Reliable benchmark datasets that reflect such modifications are required to properly evaluate tool performance.
It performs better than other competing methods on several benchmark datasets that include over 1,200 enzyme structures.
Finally, we obtained a benchmark dataset S that contained 835 drugs belonging to 100 categories of side effects.
It is a widely used benchmark dataset that consists of 60,000 32 × 32 color images in ten classes.
Therefore, it can be easily conceived that they would yield even much lower success rates when tested by the current benchmark dataset that covers twelve location sites.
A training dataset and test datasets were constructed from the benchmark dataset that contains 835 drug compounds to evaluate the method.
Since there are some sequences from the benchmark dataset that shared high sequence identity with the independent dataset PDB186, the tool CD-HIT [ 77] was applied to remove the sequences from the benchmark dataset having more than 25% sequence identity to any one in a same subset in the independent dataset PDB186 to avoid homology bias.
The comparative experimental results concerning 8 benchmark datasets show that our method possesses high classification accuracy and desirable training time.
