
Comparison of SVM and FSVM for predicting bank failures using chi-square feature selection
Author(s) -
Zuherman Rustam,
Farah Nadhifa,
Mert Acar
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1108/1/012115
Subject(s) - support vector machine , feature selection , artificial intelligence , computer science , machine learning , bankruptcy prediction , feature (linguistics) , sort , bankruptcy , classifier (uml) , data mining , pattern recognition (psychology) , finance , business , information retrieval , linguistics , philosophy