Accuracy Rejection Normalized-Cost Curves (ARNCCs): A Novel 3-Dimensional Framework for Robust Classification

Machine learning (ML) offers several supervised learning algorithms to build classifiers for developing accurate decision support systems. However, the selection of robust classifier for reliable decision making in healthcare domain is three-fold: accuracy, refraining for low confidence decisions, a...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.160125-160143
Hauptverfasser:	Abbas, Muhammad Rehan, Nadeem, Malik Sajjad Ahmed, Shaheen, Aliya, Alshdadi, Abdulrahman A., Alharbey, Riad, Shim, Seong-O, Aziz, Wajid
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Algorithms Cancer Cancer diagnosis Classification Classification algorithms classifier comparison Classifiers Costs Decision making Decision support systems Machine learning Medical diagnosis Medical science normalized cost (NC) Parameters reject option Rejection rate Reliability Robustness
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