Study on electronic banking satisfaction in Nigeria.
arXiv research
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Study finds strict collection policies improve portfolio quality of microfinance banks.
In this study, a predictive model using Multi-layer Perceptron of Artificial Neural Network architecture was developed to predict customer churn in a financial institution. Previous researches have used supervised machine learning classifiers such as Logistic Regression, Decision Tree, Support Vector Machine, K-Nearest…
Client appraisal improves efficiency in microfinance banks in Adamawa State.
Study forecasts food security trends using real-time data.
Student performance modelling (SPM) is a critical step to assessing and improving students performances in their learning discourse. However, most existing SPM are based on statistical approaches, which on one hand are based on probability, depicting that results are based on estimation; and on the other hand, actual i…
Emerging economies use countercyclical policies to manage crises and dominant currencies.