A machine learning (ML) specialist needs to solve a binary classification problem for a marketing dataset. The ML specialist must maximize the Area Under the ROC Curve (AUC) of the algorithm by training an XGBoost algorithm. The ML specialist must find values for the eta, alpha, min_child_weight, and max_depth hyperparameters that will generate the most accurate model.
Which approach will meet these requirements with the LEAST operational overhead?
Peter_Hsieh
5 months, 4 weeks agovkbajoria
7 months, 1 week agorav009
7 months, 1 week agoAIWave
7 months, 2 weeks agoF1Fan
7 months, 2 weeks ago