A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning.
Szilvia SzeghalmyAttila FazekasPublished in: Sensors (2023)
Keyphrases
- cross validation
- model selection
- variable selection
- hyperparameters
- cross validated
- support vector
- generalization error
- training and test data
- training set
- learning process
- learning tasks
- nearest neighbor classifiers
- data sets
- regression problems
- regularization parameter
- leave one out cross validation
- learning problems
- binary classifiers
- unseen data
- neural network