What is a decision tree in machine learning?
a) A flowchart-like structure used for classification and regression
b) A neural network-based model
c) A method for optimizing algorithms
d) A clustering algorithm
Answer:
a) A flowchart-like structure used for classification and regression
Explanation:
A decision tree is a machine learning model that uses a flowchart-like structure to make decisions based on features in the data. Each internal node represents a decision based on a feature, each branch represents an outcome of that decision, and each leaf node represents a final prediction or classification.
Decision trees are used for both classification and regression tasks. They are easy to interpret and visualize, making them a popular choice for many applications. However, they are prone to overfitting, especially with complex datasets.
To improve the performance of decision trees, techniques like pruning, random forests, and boosting can be used to create more accurate and generalizable models.