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COMP422 (Data mining course) - Project 2. This project includes: Genetic Programming vs Neural Networks/KNN, Naive Bayes/C4.5 Decision Trees, Particle Swarm Optimization (PSO), and Feature Selection & Feature Construction.

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COMP422 Project 2

Project 2 for COMP422, 2015 Data Mining course at Vic. The project includes: Genetic Programming vs Neural Networks/KNN, Naive Bayes/C4.5 Decision Trees, Particle Swarm Optimization (PSO), Feature Selection, and Feature Construction.

#Requirements

  • full JGAP library version 3.6.3 (jgap.jar, jgap-examples.jar, log4j.jar etc)
  • Weka (need to also include ChiSquared jar which is found separately)

Run commands for executable jar

  • Must move assets folder to current directory of the executable jar
  • Enter q[question number] and [option] according to the below available options:
  • Question 1 = q1
  • Question 2 = q2 [digits00 || digits05 || digits10 || digits15 || digits20 || digits30 || digits40 || digits50 || digits60]
  • Question 3 = q3
  • Question 4 = q4 [rosenbrock || griewank]
  • Question 5 = q5 [wine || balance]
  • Question 6 = q6 [wbcd || sonar]

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COMP422 (Data mining course) - Project 2. This project includes: Genetic Programming vs Neural Networks/KNN, Naive Bayes/C4.5 Decision Trees, Particle Swarm Optimization (PSO), and Feature Selection & Feature Construction.

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