The conversation between human and AI assistant.
What kind of machine learning models are used to predict ratings?
Can you explain how a Decision tree model works?
Sure! A Decision tree model works by creating branches or splits in the data based on a set of input features, which helps in dividing the data in smaller, more manageable subsets. The algorithm iteratively selects which feature to split on for each subset until the tree is complete. Once the tree is formed, it can be used to predict the values of new, unseen instances by following the sequence of branches from the root to the leaf corresponding to the predicted rating.