arielgiamportone/Wandb_GradientBoostingClassifier_wine

This study addresses the optimization of a Gradient Boosting Classifier (GBC) applied to the Wine dataset, focusing on the systematic fine-tuning of hyperparameters. The Wine dataset, renowned for its classification challenges, serves as a robust testing ground for evaluating the efficacy of the GBC methodology.

Jupyter NotebookMIT