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Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning

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Published in:Romanian Statistical Review
Format: Online Article RSS Article
Published: 2026
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container_title Romanian Statistical Review
description
discipline_display Probabilities and Math Statistics
discipline_facet Probabilities and Math Statistics
format Online Article
RSS Article
genre Journal Article
id rss_article:59630
institution FRELIP
journal_source_facet Romanian Statistical Review
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
Probabilities and Math Statistics
General
Probabilities and Math Statistics
sub_discipline_display General
sub_discipline_facet General
subject_display Probabilities and Math Statistics
General
Probabilities and Math Statistics
Probabilities and Math Statistics
General
Probabilities and Math Statistics
subject_facet Probabilities and Math Statistics
General
Probabilities and Math Statistics
title Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_auth Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_full Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_fullStr Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_full_unstemmed Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_short Optimizing Support Vector Machine’ Kernel Functions for Predicting Financial Distress in African and Asian Countries: Comparative Analysis and Hyperparameter Tuning
title_sort optimizing support vector machine’ kernel functions for predicting financial distress in african and asian countries: comparative analysis and hyperparameter tuning
topic Probabilities and Math Statistics
General
Probabilities and Math Statistics
url https://www.revistadestatistica.ro/2026/02/optimizing-support-vector-machine-kernel-functions-for-predicting-financial-distress-in-african-and-asian-countries-comparative-analysis-and-hyperparameter-tuning/