What are some common classifiers in scikit-learn?

What are some common classifiers in scikit-learn?

Scikit-learn offers several classifiers, including Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines.

Can you explain how a Random Forest classifier works?

A Random Forest classifier builds multiple decision trees and merges them together to get a more accurate and stable prediction.

What are the advantages of using a Support Vector Machine?

Support Vector Machines are effective in high-dimensional spaces and are versatile, as they can be used for both classification and regression tasks.

How do I choose the right classifier for my dataset?

Choosing the right classifier depends on the size of your dataset, the number of features, and the nature of the data. It's often useful to try multiple classifiers and compare their performance.