Pair-Wise Hyperparameter Tuning with the Native XGBoost API

Search Global Minimum while addressing Bias-Variance Trade-off

Since Boosting Machine has a tendency of overfitting, XGBoost has an intense focus on addressing bias-variance trade-off and facilitates the users to apply a variety of regularization techniques through hyperparameter tuning.

This post will walk you through the code implementation of hyperparameter tuning using the native XGBoost API to address bias-variance trade-off. The entire code of this project is posted in my Github repository.

After reading …

api deep-dives hyperparameter hyperparameter-tuning k-fold-cross-validation machine learning xgboost