The invention provides a method for evaluating service reliability of numerical control equipment. According to the original input and output vectors of data after zero dimension treatment, an optimized nonlinear regression function for the input-output of the numerical control equipment is obtained by using a support vector regression machine for training, and furthermore the indexes of the reliability such as point estimation, confidence interval and reliable sensitivity are solved by the self-adapting selective sampling method and bootstrap method. The method can accurately evaluate and predict the influence of different factors on the service reliability of the numerical control equipment under the condition of a small sample, find out a weak link of the numerical control equipment and indicate a direction of improving the design, manufacturing, process, maintenance and the like of the numerical control equipment.