Sentence examples for dataset the performance of from inspiring English sources

On the unlabeled dataset, the performance of the proposed GESR-LR algorithm is obviously better than the compared methods.

On the CUHK_Square dataset, the performance of the specialized SMC_B_OAS detector exceeds that of the generic one by more than 27%.

Although the size of the test dataset cannot be regarded as a big dataset, the performance of the big data analytics using map-reduce can be sped up via this kind of testings.

Therefore, at least on this expression dataset, the performance of the majority rule method is similar to the SVM.

On the LOI dataset, the performance of wKIERA is comparable to that of the rank correlation coefficients but with a smaller set of relevant variables (Fig. 2A middle).

For the unbound dataset, the performance of models with 11-residue window is close to that with 13-residue window.

As k approximates to the total size of test dataset, the performances of kNN and TTkNN become equal to GkNN method.

On the BioGRID dataset, the performances of these algorithms decrease with the threshold -0.6: in term of MMR, there is an 8.41 percentage unit decrease in the performance of the RRW algorithm using the MIPS gold standard while there are 11.15 and 4.89 percentage unit decreases in the performance of the CMC and RRW algorithms using the SGD gold standard, respectively.

For 16 out of 18 tested datasets, the performance of SSDAE-RR is more stable than other tested approaches.

Demonstrated in the extensive experiments on the public benchmark datasets, the performance of the proposed framework is superior to the state-of-the-art methods.

Using the aforementioned datasets, the performance of the hydrological model in estimating ETa was improved using both calibration techniques by achieving Nash-Sutcliffe efficiency (NSE) values >0.5 (0.73–0.85), percent bias (PBIAS) values within ±25% (±21.73%), and root mean squared error – observations standard deviation ratio (RSR) values <0.7 (0.39–0.52).