FORECASTING THE RISKS OF INFORMATION SYSTEM DESIGN
The article considers the problem of forecasting the risks of designing information systems based on the use of machine learning methods. The ensemble of methods allows us to estimate the quality of the solution of a problem using a set of indicators and select the best one. To solve it, the language R, the statistical platform SPSS, and the Orange Canvas system are used. Machine learning is based on the use of a synthetic training set, which includes categorical factors of possible design risks. The sample is formed and verified using the methods of cluster analysis and the principal component method.