Enhanced Classification Accuracy for Cardiotocogram Data with Ensemble Feature Selection and Classifier Ensemble

In this paper ensemble learning based feature selection and classifier ensemble model is proposed to improve classification accuracy. The hypothesis is that good feature sets contain features that are highly correlated with the class from ensemble feature selection to SVM ensembles which can be achi...

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Veröffentlicht in:	arXiv.org 2020-10
Hauptverfasser:	Silwattananusarn, Tipawan, Kanarkard, Wanida, Tuamsuk, Kulthida
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Classification Computer Science - Learning Feature selection
Online-Zugang:	Volltext
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