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What is False Negative Rate

Advanced Methodologies and Technologies in Business Operations and Management
The probability that a diagnostic test classify incorrectly a case as a control.
Published in Chapter:
Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information-Based Decision-Making
Nan Hu (University of Utah, USA)
DOI: 10.4018/978-1-5225-7362-3.ch057
Abstract
Business operators and stakeholders often need to make decisions such as choosing between A and B, or between yes and no, and these decisions are often made by using a classification tool or a set of decision rules. Decision tools usually include scoring systems, predictive models, and quantitative test modalities. In this chapter, the authors introduce the receiver operating characteristic (ROC) curves and demonstrate, through an example of bank decision on granting loans to customers, how ROC curves can be used to evaluate decision making for information-based decision making. In addition, an extension to time-dependent ROC analysis is introduced in this chapter. The authors conclude this chapter by illustrating the application of ROC analysis in information-based decision making and providing the future trends of this topic.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
ROC Analysis in Business Decision-makings
the probability that a diagnostic test classify incorrectly a case as a control.
Full Text Chapter Download: US $37.50 Add to Cart
Using Receiver Operating Characteristic (ROC) Analysis to Evaluate Information -Based Decision-Making
The probability that a diagnostic test classify incorrectly a case as a control.
Full Text Chapter Download: US $37.50 Add to Cart
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