Sentence examples for thresholds of classification from inspiring English sources

The plot compares performance of the true positive rate (TPR) and false positive rate (FPR) for various thresholds of classification.

In this study, slope gradient was converted logarithmically because, in Iwahashi and Pike (2007), thresholds of classification were defined to be graduated values by a nested-means method, that is, using successively averages of the total slope, the gentler half, the gentlest quarter, and the gentlest quarter-half.

This avoids the problem of not easily set threshold of classification decision function for the VCA method and enhances feasibility in real application.

'0' was used as the threshold of classification.

The ROC curve plots the sensitivity versus 1-specificity by adjusting the decision threshold of classification.

For example, we choose n =400 as the threshold of classification in our model setup, where n is the number of protein molecules in a cell.

The threshold of classification is taken as zero because the expectation of the martingale residual is zero and a positive martingale residual implies that there are more events observed than expected under the model of no SNP effect.

Open image in new window Fig. 14 Effect of feature selection threshold on classification performance of Method 3 and Method 4. In this paper, an IHFST method combining DET, Pearson's correlation analysis, and an ad hoc technique was proposed.

The ROC curves capture this behavior by plotting "sensitivity" against "FPR (1- specificity, which indicates false alarms)" for the different possible probability thresholds of a classification model [9, 38, 68, 95].

The geometric means of half-lives of CPY in soils, sediments, and surface waters were less than the thresholds for classification of a compound as being persistent in soils, sediments, and water under the SC or EC Regulation No. 1107/2009.

Although no widely agreed thresholds for classification of patients at "high risk" exist, the QDScore could act as a basis for a systematic programme to identify patients at increased risk for intervention or to aid earlier diagnosis.