The objective of KAVAS-2 is the development of a tool, named KAVIAR, with which domain experts can make their knowledge explicit. It contains components for (computer assisted) knowledge elicitation and for machine learning. A key issue in KAVAS is the assessment of the quality of the classification and domain models built. Various quality measures are available and implemented in KAVIAR to assess the quality of models, specifically those developed from data bases by machine learning techniques.
Talmon, J., Brender, J., Demeester, M., Drosos, P., Grimson, J., Langsig, A-M., McNair, P., Nykänen, P., O'Moore, R., Rossi-Mori, A., Weber, S., & Wilhelm, W. (1994). KAVAS-2: Knowledge acquisition, visualization and assessment system. Computer Methods and Programs in Biomedicine, 45(1-2), 105-109. https://doi.org/10.1016/0169-2607(94)90026-4