To avoid the bias that can occur in model predictions due to differences in the numbers of defaulting and nondefaulting firms, this study proposes a locally weighted dynamic ensemble model. To ...

in a classical ensemble learning framework. EDL can overcome challenges related to unequal class distributions, small sample sizes, noisy data, etc. EDL methods are more robust than individual ...