Category: Machine Learning
Visualization with Chinese in XGBoost and RandomForest
Accuracy, Precision, Recall, F1 Score, Sensitivity, Specificity
Hunt the papertiger of graph neural networks (GNNs), intuitively, mathematically, implementably
From Gradient Boosting to XGBoost: Math, Intuition, and Python
Derive gradient-boosting residuals, logistic gradients and Hessians, XGBoost leaf weights, and split gain, then verify the core update with a small NumPy example.
