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This repositort demonstrates the usage of a wrapper FS approach based on a Cuckoo Search Algorithm (CSA) with an updated Fitness Function (FS) based on correlation functions.

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Mohammed-Ryiad-Eiadeh/Binary_Cuckoo_Search_for_FS

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Binary_Cuckoo_Search_for_FS

This repositort demonstrates the usage of a wrapper FS approach based on a Cuckoo Search Algorithm (CSA) with an updated Fitness Function (FS) based on correlation functions,. Moreover, KNN is used for the FS phase and 10-fold cross validation is used. Factorization Machiens classifier with Bagging Ensemble Learning is used for evaluation the selected dataset.

  1. download intellIJ IDEA latest version
  2. dounload JDK 17+
  3. set up the environment variable for the bin folder of the JDK
  4. open the IDEA
  5. open the project
  6. make sure you are connected to the internet
  7. wait while the IDEA download all the libraries that are included as dependencies in the pom XML file
  8. go to the main
  9. firstly type the path of your CSV file
  10. run the main class

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This repositort demonstrates the usage of a wrapper FS approach based on a Cuckoo Search Algorithm (CSA) with an updated Fitness Function (FS) based on correlation functions.

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