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Exact(10)
The fraction of votes for one class can be used as a class membership score.
Confidence estimators can also be derived from ensemble predictions by using the classifier stability to estimate a class membership score [22].
As opposed to cumulative accuracy and predictiveness curves, a ROC curve is independent of the a priori probabilities of the two classes for classifiers that produce a class membership score [35], which is the reason why it is primarily used here.
Next, entities within each cluster were ranked in order of decreasing module membership score.
In a conventional QCA, cases are either members of the set created by the indicator (with a membership score of 1) or not (with a membership score of 0).
We kept 3,316 clustered genes for further analysis based on their membership score (ms) within a cluster (ms ≥ 0.5).
Similar(50)
Due to the lack of an independent burned area perimeter for validation, completely burned areas were distinguished from partially burned and unburned areas, based on their membership scores, for the purpose of restricting further analysis to definite burned areas.
It should however be noted that the definition of fuzzy membership scores to distinguish burned from partially burned areas (see "Validation of detected burned areas" in the "Methods" section) on one hand, and the subjective element of the result of the visual interpretation on the other hand, might have had an impact on the quantification of the performance of the fuzzy classification.
The present approach automatically categorizes individuals to risk sets on the basis of graded membership scores.
Graded membership scores were automatically generated for each subject ranging from zero (no resemblance) to one (exact match) according to maximum likelihood estimation procedure.
Fuzzy-set membership scores are assigned through a process called calibration [ 21].
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