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cs.LG2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-based Feature Extraction
Sammuel Ramos Silva, Rodrigo Silva
Automated Feature Engineering (AutoFE) has become an important task for any machine learning project, as it can help improve model performance and gain more information for statist…
cs.LG2023
Two-step hyperparameter optimization method: Accelerating hyperparameter search by using a fraction of a training dataset
Sungduk Yu, Mike Pritchard, Po-Lun Ma +2
Hyperparameter optimization (HPO) is an important step in machine learning (ML) model development, but common practices are archaic -- primarily relying on manual or grid searches.…