How to Use Decision Trees to Classify Data

Decision Trees are a type of machine learning algorithm that uses a tree structure to divide data based on logical rules and predict the class of new data. They are easy to interpret and adaptable to different types of data, but can also suffer from problems such as overfitting, complexity, and imbalance.
Let’s understand a bit more about them and examine a simple example of use in R.

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