Sentence examples for performance of the classifier with from inspiring English sources

Performance of the classifier with highest accuracy is shown in italics for each feature.

So, we tested the performance of the classifier with different C values and got the optimal C values.

However, PCA tends to stabilize the performance of the classifier with a lower quantity of components, both in the 1D and 2D versions.

This chord-enriched training dataset does not significantly change the performance of the classifier with original RWC training/solo notes testing.

With every successive iteration, the testing data was used to assess the performance of the classifier with a lower number of features compared to the previous iteration.

However, no improvement in the performance of the classifier with the ALF that is a combination of PLF and CLF was revealed in the results.

The performance of the classifiers with this real-world attacks has been remarkable, as presented in Figure 8. Once again, high levels of true positives and true negatives have been achieved with low levels of false positives and false negatives.

To examine which features provide meaningful information for identifying latent infected nodes, we investigate the performance of the classifiers with each feature when we create cascades that infect approximately 10% of the nodes in the network and then reveal the infection states of 15% of the nodes.

In this scenario, we compared the performance of the classifiers with generative HMMs and constrained mixture estimation with HMMs.

As an example of the sensitivity that can be achieved with the sampling methods and cost-sensitive learning while maintaining a reasonable specificity, Table  9 shows the performance of the classifiers with the highest sensitivity and a specificity of at least 0.5.

The objectives of this study were to discover biomarkers that discriminate NSCLC from smokers with ≥10 years of cigarette smoking history, to train and cross-validate a multi-biomarker classifier of NSCLC to meet pre-specified performance criteria, and to verify the performance of this classifier with a separate set of blinded samples.