Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is State-of-the-Art Techniques

Advancement in Business Analytics Tools for Higher Financial Performance
The most advanced and currently used methods or approaches in a particular field, known for their superior performance and effectiveness.
Published in Chapter:
Prediction and Analysis of Financial Crises Using Machine Learning
S. Baranidharan (CHRIST University (Deemed), India) and Harishchandra Singh Rathod (Shri Jairambhai Patel Institute of Business Management, India)
DOI: 10.4018/978-1-6684-8386-2.ch010
This study presents a comparative analysis of various machine learning algorithms for credit risk assessment. The algorithms were tested on two credit datasets: German Credit Dataset and Australian Credit Dataset. The performance of the algorithms was evaluated based on several metrics, including sensitivity, specificity, accuracy, F-score, and Kappa. The results showed that the FCPFS-QDNN algorithm outperformed other algorithms in both datasets, achieving high accuracy, sensitivity, specificity, and F-score. On the other hand, the ACO Algorithm and Multilayer Perceptron algorithms were found to perform poorly in both datasets. The findings of this study have significant implications for credit risk assessment in banking and financial institutions. The study recommends the use of the FCPFS-QDNN algorithm for credit risk assessment due to its superior performance compared to other algorithms.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR