What is feature selection in machine learning?
An example of an AI chatbot conversation about feature selection in Python for machine learning.
What is feature selection in machine learning?
Feature selection is the process of selecting a subset of relevant features for model training, improving performance.
Why is feature selection important?
It's important because it reduces overfitting, improves accuracy, and decreases training time by eliminating irrelevant data.
How can I perform feature selection in Python?
You can use libraries like Scikit-learn, which offers methods like Recursive Feature Elimination and SelectKBest.
Can you give me an example of using SelectKBest?
Sure! You can use SelectKBest with a scoring function like chi-squared to select the top features based on their scores.
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