Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis
Validation assessments on resampling method in imbalanced binary classification for linear discriminant analysis
The analysis on the location and dispersion statistics of the performance measures was further enlightened on: (i) the effect of a resampling method on the performance of LDA, and (ii) the enhancement in the learning fairness of LDA on objects regardless of sample size, hence reducing the effect of the curse of class imbalance.