Combining expression trees

The paper aims at comparing and evaluating combined classifiers constructed from expression trees induced through applying gene expression programming. Several combined classifiers proposed in earlier papers of the authors are briefly described and explained. An extensive computational experiment in which the proposed combined classifiers are compared with a number of well-known classification algorithms from WEKA Environment shows that constructing combined classifiers taking advantage of the collective computational techniques brings a very good result in terms of the solution quality.