Sentence examples for minority classes from inspiring English sources
Over_sampling of the minority classes help to improve the performance.
Considering the minority classes were less than 1%, this is very promising.
A direct consequence is that minority classes cannot be well modeled, and the final performance decays.
On a highly imbalanced class distribution, it is particularly demanding to identify instances from minority classes.
On a highly imbalanced class distribution, it is particularly demanding to identify examples from minority classes.
Furthermore it rationalizes the overshooting issue of the minority classes after the over_sampling process.
lowest minority class (for multi-class data sets).
The minority class % of each dataset is shown in brackets.
Its core idea is to form new minority class examples by interpolating between several minority class examples that lie together.
Popular techniques for inherently cost sensitive classifiers involve minority class resampling, treating thresholds of minority class differently, tweaking the splitting criteria for minority class, pre- and post-pruning of hypotheses, and combinations thereof.
Class 's' is assumed as the lowest minority class and 'P' as the highest majority class.
