Classification

• Evaluation Metrics for Classification Problems: Quick Examples + References

• Decision Trees: “Gini” vs. “Entropy” criteria

• Understanding ROC curves

Ranking

• Learning to Rank using Gradient Descent -- original paper about pairwise method for AUC optimization

• Overview of further developments of RankNet

• RankLib (implemtations for the 2 papers from above)

• Learning to Rank Overview

Clustering

• Evaluation metrics for clustering