XGBoost is the Secret of ML Energy

When an ML model has to deal with tabular data, it’s XGBoost (Extreme Gradient Boosting) that energises the model’s performance and computational speed. XGBoost stands as a tree-based ensemble machine learning algorithm renowned for its superior predictive capabilities and performance. The powerful machine learning algorithm is more capable of training a model to find patterns in a dataset with labels and features than LLMs.

XGBoost should be considered for any supervised learning task when there’s a substantial number of training examples. Besides, it excels when dealing with a blend of categorical and numeric features. It is particularly effective in scenarios where the dataset comprises a mix of these feature types or when the developer is exclusively working with numeric features.