What are some common data classification methods?

What are some common data classification methods?

Common data classification methods include decision trees, support vector machines, and neural networks.

Can you explain how decision trees work?

Decision trees split data into branches based on feature values, leading to decisions at the leaves.

What are the advantages of using neural networks for classification?

Neural networks can model complex patterns and relationships in data, making them powerful for classification tasks.

Are there any limitations to these methods?

Yes, some limitations include overfitting in decision trees and the need for large datasets in neural networks.