The article is aimed at researching the reliability of an unmanned high-altitude module based on a mathematical model of k-out-of-n:G system. The analytical model of k-out-of-n:G system is considered and the impact of the coefficient of variation of the system elements’ lifetime on its operating probability without failure is investigated. Several machine learning methods are used to calculate reliability characteristics for arbitrary input data based on practically significant parameters, the accuracy of which is expressed in terms of estimated mean values.