Sentence examples for varying the classification from inspiring English sources

Exact(4)

The precision recall curves for the two generic representations and the Siamese network-based representation, obtained by varying the classification thresholds, are plotted in Fig. 7.

It should be noted, however, that the lack of evidence of a protective effect of care was provided by territorial services even by varying the classification criteria.

Then we obtain relation classification results on the development set by varying the classification thresholds applied to the relation identification classifiers (each of the four specialized identification classifiers will have its classification threshold tuned independently of the others).

We evaluated whether varying the classification of the potential influence on treatment choice would alter our findings, but when we collapsed "a lot" and "some" influence with "a little" and "none", the results between the intervention and concordance did not substantially change (data not shown).

Similar(56)

An over 1000-element array of supervised classification results is generated by varying the underlying classification algorithm (Maximum Likelihood/Spectral Angle Mapper/Spectral Information Divergence), the remote sensing data stack (different multi-sensor data combination), and the set of hyperspectral channels used for classification (feature selection).

Empirically it was established that by varying the GMM order, the classification probability rates do not depend significantly on the GMM order.

The ROC curve is a plot of TPR and FPR when varying the score cutoff for classification over all possible values.

The stability of the classification was tested by varying the data order and by cross-validation (comparison of the separate clustering of the randomly split sample).

Figure 19 Comparison of classification accuracy by varying the number of nodes.

Figure 17 Comparison of classification accuracy by varying the percentage of malicious nodes.

Figure 18 Comparison of classification accuracy by varying the percentage of selfish nodes.

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