Many different classification algorithms can be use in order to analyze, classify and predict data. Learning classifier system (LCS) which is known as a genetic base machine learning system, combines the machine learning with evolutionary computing and other heuristics to produce an adaptive system that learns to solve a particular problem. This paper uses the Michigan style LCS, in the context of bank customer satisfaction to classify customers into two different groups: unsatisfied/satisfied

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... ustomers. Three different Rule Compaction strategies are used to compare the rule population's accuracy and micro/macro population size. The result specifies features that mostly influence prediction. Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.