..., demonstrating KNN’s superior accuracy over LR and suggesting future research directions. Machine learning Default prediction model Feature selection Logistic regression K-nearest neighbor Whereas Ex-ante Theory of Financial Distress claims that financial distress is a gradual process that can...

...Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke Purpose – Churn prediction is a very important task for successful customer relationship management. In general, churn prediction can be achieved by many data mining techniques. However, during data mining, dimensionality reduction (or feature selection...

... extraction using resemblance coefficient and wavelet packet decomposition, and feature selection based on quantum‐inspired genetic algorithm, and a classifier combining K‐means clustering, support vector machines and Mahalanobis distance are applied to actualize the recognition system. Finally, experiments...