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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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Feature Selection for Machine Learning with Genetic Algorithm #948

Closed ashis2004 closed 3 months ago

ashis2004 commented 4 months ago

Descriptions:

Implementing a Genetic Algorithm for feature selection. Comparing the performance of models trained with all features versus the selected features. Analyzing the results to determine the effectiveness of the Genetic Algorithm in feature selection.

Steps:

  1. Initialization: Generate an initial population of feature subsets.
  2. Selection: Evaluate the fitness of each subset using a predefined fitness function (e.g., model accuracy).
  3. Crossover: Combine pairs of feature subsets to produce new offspring.
  4. Mutation: Introduce random changes to feature subsets to maintain genetic diversity.
  5. Replacement: Replace less fit subsets with new offspring.
  6. Termination: Stop the algorithm after a set number of generations or if convergence criteria are

@invigorzz313 pls assign it to me I'm Gssoc'24 contributor

invigorzz313 commented 4 months ago

@ashis2004 the issue is assigned.