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Reinforcement Learning for Feature Selection

Towards Data Science 4:52 pm on May 21, 2024

The FSRLearning library efficiently selects features for machine learning models using reinforcement learning (RL), optimizing accuracy and speeding up model training. It involves data preprocessing, installation of the library with an easy-to-use interface, feature selection via a Feature_Selector object, and comparison to RFE from Scikit-Learn. The results often surpass traditional methods.

Data Preprocessing:
Library Installation & Importation:
Feature Selection via Feature_Selector Object:
Comparison with RFE Methods:
RL Efficiency and Benefits:

https://towardsdatascience.com/reinforcement-learning-for-feature-selection-be1e7eeb0acc

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Reinforcement Learning for Feature Selection

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