Random Forests for Supervised Learning

Overview:

• Best-in-class algorithm for classification and regression
• Generalizes well across domains
• Runs efficiently on large data sets
• Avoids overfitting
• Not just a black box, but interpretable
• Can be used to inform data collection and analysis