
Comparison of methods for tuning machine learning model hyper-parameters: with application to predicting high-need high-cost health care users.
Exploring hyper-parameter tuning methods in machine learning for predicting high-cost healthcare users reveals AUC improvements from 0.82 to 0.84. ππ€