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Testing learning classifier systems

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Daniele Loiacono
Daniele Loiacono

Nuria Macia, Jaume Bacardit, Ester Bernadó-Mansilla "Testing learning classifier systems", IWLCS, 2011

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Núria Macià, Jaume Bacardit, and Ester Bernadó-Mansilla nmacia@salle.url.edu jaume.bacardit@nottingham.ac.uk esterb@salle.url.edu
Methodology for learners’ assessment
The UCI repository. 134 classification problems Source: GECCO’11 Proceedings
Algorithm refinement Knowledge extraction Behind the experiments
Standard comparison Source: Jaume Bacardit, Edmund K. Burke, and Natalio Krasnogor. Improving the scalability of rule-based evolutionary learning. (2009)
Taxonomy of problems
Complexity coverage
• How many data sets should we use in the experiments? • Which ones? Synthetic data sets? Real-world problems? Both? • Is the UCI our best sample? • How should we select our referenced learners? • Should we keep performing comparisons over an arbitrary set of problems? • How can we characterise problems? • More coverage? Benchmarks? • Should we tackle one problem at a time? • … Questions. Answers?
Núria Macià, Jaume Bacardit, and Ester Bernadó-Mansilla nmacia@salle.url.edu jaume.bacardit@nottingham.ac.uk esterb@salle.url.edu

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Testing learning classifier systems

  • 1. Núria Macià, Jaume Bacardit, and Ester Bernadó-Mansilla nmacia@salle.url.edu jaume.bacardit@nottingham.ac.uk esterb@salle.url.edu
  • 3.
  • 4. The UCI repository. 134 classification problems Source: GECCO’11 Proceedings
  • 5. Algorithm refinement Knowledge extraction Behind the experiments
  • 6. Standard comparison Source: Jaume Bacardit, Edmund K. Burke, and Natalio Krasnogor. Improving the scalability of rule-based evolutionary learning. (2009)
  • 9. • How many data sets should we use in the experiments? • Which ones? Synthetic data sets? Real-world problems? Both? • Is the UCI our best sample? • How should we select our referenced learners? • Should we keep performing comparisons over an arbitrary set of problems? • How can we characterise problems? • More coverage? Benchmarks? • Should we tackle one problem at a time? • … Questions. Answers?
  • 10. Núria Macià, Jaume Bacardit, and Ester Bernadó-Mansilla nmacia@salle.url.edu jaume.bacardit@nottingham.ac.uk esterb@salle.url.edu