Editing Learning classifier system (section)

== Advantages ==
* Adaptive: They can acclimate to a changing environment in the case of online learning.
* Model free: They make limited assumptions about the environment, or the patterns of association within the data.
** They can model complex, epistatic, heterogeneous, or distributed underlying patterns without relying on prior knowledge.
** They make no assumptions about the number of predictive vs. non-predictive features in the data.
* Ensemble Learner: No single model is applied to a given instance that universally provides a prediction.  Instead a relevant and often conflicting set of rules contribute a 'vote' which can be interpreted as a fuzzy prediction.
* Stochastic Learner: Non-deterministic learning is advantageous in large-scale or high complexity problems where deterministic or exhaustive learning becomes intractable.
* Implicitly Multi-objective: Rules evolve towards accuracy with implicit and explicit pressures encouraging maximal generality/simplicity. This implicit generalization pressure is unique to LCS.  Effectively, more general rules, will appear more often in match sets.  In turn, they have a more frequent opportunity to be selected as parents, and pass on their more general (genomes) to offspring rules.  
* Interpretable:In the interest of data mining and knowledge discovery individual LCS rules are logical, and can be made to be human interpretable IF:THEN statements.  Effective strategies have also been introduced to allow for global knowledge discovery identifying significant features, and patterns of association from the rule population as a whole.<ref name=":11" />
* Flexible application
** Single or multi-step problems
** Supervised, Reinforcement or Unsupervised Learning
** Binary Class and Multi-Class Classification
** Regression
** Discrete or continuous features (or some mix of both types)
** Clean or noisy problem domains
** Balanced or imbalanced datasets.
** Accommodates missing data (i.e. missing feature values in training instances)