Sentence examples for better classifier in discriminating from inspiring English sources

A similar ROC-based performance evaluation shows that ExprTarget is a much better classifier in discriminating the experimentally verified targets from the non-experimentally supported ones than the random guessing procedure indicated by the line of no-discrimination (Fig. 4) or, indeed, any of the existing computational solutions (Fig. 3) evaluated in this study.

In our study, the functional status of the FTA samples may have influenced the performance of the classifiers in discriminating true FTA from hyperfunctioning nodules.

Compared with some existing algorithms, the proposed scheme achieves better performance in discriminating high-quality JPEG compression from malicious attacks.

This method has stronger distinguishing ability, showing better performance in discriminating cell images whether belong to the same cell.

A significant IDI indicates that the new model performs better in discriminating cases and non-cases.

The classifier outperformed AFP in discriminating HCC cases from non-cancerous controls.

Meaningful features should be predictive of disease, and classifiers developed from highly predictive SNPs should have good performance in discriminating between cases and controls.

In this classifier, the chromosome 17 region 78260810-81029941 walsolso identified as the most important variable in discriminating between mutated and non-mutated samples.

PRISM III-24 offers better capacity for discriminating between survivors and nonsurvivors in our country.

In order to use such a classifier for discriminating between texts with radical and non-radical content, a natural first step would be to tokenize the text.

As shown in Figure 7, our method acted as a good classifier for discriminating functional binding pairs from non-functional binding pairs with AUC = 0.78.