Data Science Snippets: Ensemble Models- Part 6-Decision Trees or Random Forests?

Ensemble models are techniques that combine multiple algorithms to enhance prediction accuracy, stability, and generalization in Machine Learning.

In the previous posts, we introduced Decision Trees. We also understood the types of Decision Trees and the different ways in which they split. We saw how a Decision Tree splits mathematically, and what pruning is. We took a sneak peek at the Random Forests. We delved deep into Random Forests. Now, let’s find out which one is the best.

Decision Trees or …