Minyar Sassi Hidri

Systematic Hyperparameter Optimization of Machine Learning Classifiers for Imbalanced Classification: An Empirical Study With Grid Search Cross-Validation

Optimization of hyperparameters is still an important but relatively ignored stage of machine learning pipelines, and imbalanced classification brings forth three key problems that inspire our investigation into the subject: 1) hyperparameter settings used by default in a library are not tailored for imbalanced labelin...