Bias Variance Decompositions using XGBoost

Originally published at: https://developer.nvidia.com/blog/bias-variance-decompositions-using-xgboost/

This blog dives into a theoretical machine learning concept called the bias variance decomposition. This decomposition is a method which examines the expected generalization error for a given learning algorithm and a given data source. This helps us understand questions like: How can I achieve higher accuracy with my model without overfitting? Why are my…