🎲 What Makes Random Forest "Random"?

A Random Forest isn't just "many decision trees."
Each tree sees a different random sample of the data.

Then... At every split... It only considers a random subset of features.

So instead of producing 100 identical trees... You get 100 different opinions.

The final prediction is the majority vote (classification) or average (regression).

The randomness is exactly what makes the forest stronger.