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easat-11297	doi.org	https://doi.org/10.1016/j.ins.2020.03.027
easat-11297	doi.org	https://doi.org/10.1007/s10462-015-9434-x
easat-11297	doi.org	https://doi.org/10.1016/j.ribaf.2021.101482
easat-11297	doi.org	https://doi.org/10.1007/s42786-020-00020-3
easat-11297	doi.org	https://doi.org/10.3390/fintech3040029
easat-11297	doi.org	https://doi.org/https://doi.org/10.1007/s11704-019-8208-z
easat-11297	doi.org	https://doi.org/10.1109/access.2024.3470122
easat-11297	doi.org	https://doi.org/10.1080/01605682.2021.1922098
easat-11297	doi.org	https://doi.org/10.1007/s10614-020-10042-0
easat-11297	doi.org	https://doi.org/10.1186/s40537-023-00727-2
easat-11297	doi.org	https://doi.org/10.1016/j.asoc.2020.106263
easat-11297	doi.org	https://doi.org/10.1109/access.2021.3124200
easat-11297	dx.doi.org	http://dx.doi.org/10.2139/ssrn.3616342
easat-11297	doi.org	https://doi.org/10.48550/arxiv.2104.06735
easat-11297	adwifiani.medium.com	https://adwifiani.medium.com/creditscoring-flow-using-machine-learning-b08f011d0ec2
easat-11297	doi.org	https://doi.org/10.1007/s11277-021-09158-9
easat-11297	creativecommons.org	https://creativecommons.org/licenses/by/4.0
easat-11297	doi.org	https://doi.org/10.1016/j.ins.2020.03.027
easat-11297	doi.org	https://doi.org/10.1007/s10462-015-9434-x
easat-11297	doi.org	https://doi.org/10.1016/j.ribaf.2021.101482
easat-11297	doi.org	https://doi.org/10.1007/s42786-020-00020-3
easat-11297	doi.org	https://doi.org/10.3390/fintech3040029
easat-11297	doi.org	https://doi.org/https:/doi.org/10.1007/s11704-019-8208-z
easat-11297	doi.org	https://doi.org/10.1109/access.2024.3470122
easat-11297	doi.org	https://doi.org/10.1080/01605682.2021.1922098
easat-11297	doi.org	https://doi.org/10.1007/s10614-020-10042-0
easat-11297	doi.org	https://doi.org/10.1186/s40537-023-00727-2
easat-11297	doi.org	https://doi.org/10.1016/j.asoc.2020.106263
easat-11297	doi.org	https://doi.org/10.1109/access.2021.3124200
easat-11297	dx.doi.org	http://dx.doi.org/10.2139/ssrn.3616342
easat-11297	doi.org	https://doi.org/10.48550/arxiv.2104.06735
easat-11297	adwifiani.medium.com	https://adwifiani.medium.com/credit-scoring-flow-using-machine-learning-b08f011d0ec2
easat-11297	adwifiani.medium.com	https://adwifiani.medium.com/credit-scoring-flow-using-machine-learning-b08f011d0ec2
easat-11297	doi.org	https://doi.org/10.1007/s11277-021-09158-9
easat-11297	doi.org	https://doi.org/10.1016/j.engappai.2022.105151
easat-11297	doi.org	https://doi.org/10.48550/arxiv.2206.03852
easat-11297	doi.org	https://doi.org/10.1016/j.eswa.2010.06.048
easat-11297	medium.com	https://medium.com/@thakrandisharth/528boosting-model-accuracy-with-ensemble-learning-2742f360ae0
easat-11297	medium.com	https://medium.com/analyticsvidhya/530complete-guide-to-machine-learning-evaluation-metrics-615c2864d916
easat-11297	doi.org	https://doi.org/10.1016/j.engappai.2022.105151
easat-11297	doi.org	https://doi.org/10.48550/arxiv.2206.03852
easat-11297	doi.org	https://doi.org/10.1016/j.eswa.2010.06.048
easat-11297	medium.com	https://medium.com/@thakrandisharth/528boosting-model-accuracy-with-ensemble-learning-2742f360ae0
easat-11297	medium.com	https://medium.com/analytics-vidhya/530complete-guide-to-machine-learning-evaluation-metrics-615c2864d916
easat-11297	medium.com	https://medium.com/analytics-vidhya/530complete-guide-to-machine-learning-evaluation-metrics-615c2864d916
