Classifier Performances For Credit Risk Analysis: A Hybrid Classification Approach on Credit Risk Analysis

Classifier Performances For Credit Risk Analysis: A Hybrid Classification Approach on Credit Risk Analysis


49,00 €
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von Erkan Cetiner

Beschreibung

This work is prepared for a Master Research Thesis. The main objective of the work is gathering single classification techniques together as one unique hybrid classifier. Experiments made on different data-sets and results are compared in terms of accuracy and precision. Logistic regression, support vector machines, artificial neural networks and naive bayes approach are examined throughout the research. A hybrid model based on average weighting mechanism developed by using those single classifiers.


Tags: Informatik, EDV


Taschenbuch - 9783848482030
Verlag: LAP Lambert Academic Publishing
Ersterscheinung: April 2012
ISBN-13: 9783848482030
Größe: 220 mm x 150 mm x 4 mm
Gewicht: 124 Gramm
72 Seiten
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