Feature Selection in Machine Learning

[DataScience]

Here's what I would recommend you to do :
Domain Knowledge: Leverage your understanding of the problem to identify potentially irrelevant features.
Univariate Feature Selection: Utilize techniques like:

• Filter methods: These assess individual features' correlation with the target variable (e.g., chi-squared test, F-test) using scikit-learn's SelectKBest or SelectPercentile from sklearn.feature_selection.
  

• Wrapper methods: Evaluate feature subsets based on model performance using RFE (Recursive Feature Elimination) from sklearn.feature_selection.
  

Model-based Feature Selection: Some models inherently perform feature selection during training (e.g., LASSO regression).

buran write Apr-10-2024, 03:02 AM:
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