feature-gen 0.1.0

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Genetic Algorithm and Ensemble Learning for Feature Selection

This project utilizes genetic algorithms and ensemble learning techniques to identify the optimal set of features for predictive models. It combines the power of evolutionary computation with the robustness of ensemble methods to improve model performance by selecting the best features from a dataset.

Features

• Implements a Genetic Algorithm (GA) to explore the feature space.
• Integrates with popular ensemble learning models like XGBoost and Random Forest.
• Provides a flexible interface for customizing the GA parameters such as population size, number of generations, and mutation rate.
• Outputs the best feature set along with detailed performance metrics.

Installation

Install the package using pip:

pip install feature_gen