In simple terms, a decision tree is a data analysis tool that can be used to make decisions. It’s an efficient way to analyze large sets of data and identify patterns. More importantly, decision trees are commonly used in machine learning. This is a field of AI that uses computers to learn from data and … Read more
In supervised learning, overfitting is a major problem. When it comes to regression trees, it becomes more obvious to prevent this, we specify the Seth of the tree, but there is still a high chance of the dataset being overfitted. To avoid this, we use a random first regressor. Before understanding how and why this … Read more
The decision tree is one of the most commonly used algorithms in supervised learning. It is used for both regression and classification when we use this algorithm for regression problems, it is called a regression tree. In real life, decision trees are very famous algorithms they are used to predict high occupancy dates for hotels, … Read more
