Core ML Concepts · beginner · concept 13 of 176

🧠Decision Trees & Random Forests

A decision tree splits data with a cascade of if-then questions; a random forest averages hundreds of trees trained on random slices of the data. On tabular business data they remain brutally hard to beat, and unlike neural networks a single tree can be read and explained line by line.