... was bifurcated into three panels with three default assumptions. Logistic regression (LR) and k-nearest neighbor (KNN) binary classification algorithms were used to estimate credit default in this research. Findings The study’s findings revealed that features used in Model 3 (Case 3) were the efficient...

... intelligence Academic success Machine learning Logistic regression Enrollment data Higher education Nigeria Developments in educational technologies have resulted in the accumulation of large amounts of data on students and their learning activities. The exploration of these data has empowered...

.... A binary logistic regression was undertaken to assess whether voluntary disclosure of financial information on the internet was related to the company’s size, profitability, age, company’s legal form, ownership dispersion and industry sector. Findings The research has shown...