We explore some new types of committees in search of hybrid models successful in many different classification benchmarks. To provide a reliable comparison of the ensembles we restrict the task to some constant configuration of committee members for each benchmark. We were looking for new types of committees which, in such configuration, would be as much accurate and stable as possible. The paper focuses on some ideas of heterogenous committees with different ways of their members competence estimation. Heterogenous committee members adapt in different ways and are able to solve different problems. Measuring the competence of committee members helps in making competent and accurate decisions.