Bank Failure Prediction Via Hybrid Classifier Ensembles - . Halil I. Erdal,

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications In this study, the use of hybrid classifier ensembles of artificial neural networks (ANN) is investigated. In other words, an attribute-base ensemble learning method (i.e., random sub-spaces RS) and an instance-base ensemble learning method (i.e., bagging B) are employed to enhance the prediction accuracy of conventional ANN models for bank failure prediction. Two common artificia