Mini toolsDefinition
Selecting the most relevant variables for model training.
Detailed Explanation
Feature Selection involves identifying and selecting a subset of relevant features that contribute most to the predictive power of a model. This process enhances model performance by reducing overfitting improving accuracy and decreasing computational cost.
Use Cases
Improving model accuracy reducing training time simplifying models enhancing interpretability handling high-dimensional data.
