Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting

Failure prediction of Indian Banks using SMOTE, Lasso regression, bagging and boosting

Banks have a vital role in the financial system and its survival is crucial for the stability of the economy. This research paper attempts to create an efficient and appropriate predictive model using a machine learning approach for an early warning system of bank failure. This paper uses data colle...

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Bibliographic Details
Main Authors: Santosh Shrivastava, P Mary Jeyanthi, Sarbjit Singh
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Economics & Finance
Subjects:
failure prediction
imbalanced data
smote
lasso regression
random forest
adaboost
Online Access:http://dx.doi.org/10.1080/23322039.2020.1729569

Internet

http://dx.doi.org/10.1080/23322039.2020.1729569

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