Abstract: The present disclosure discloses a training method and an apparatus for service quality evaluation models. The method includes: collecting the machine performance data, the network characteristic data, and the quality monitoring data of the service nodes according to a fixed cycle; determining a characteristic value based on the machine performance data and the network characteristic data; determining a tag based on the quality monitoring data; building a training set using the characteristic value and the tag; and training a deep neural network model using the training set to obtain a service quality evaluation model. Using the service quality evaluation model provided by the present disclosure to perform service quality evaluation may improve the accuracy of the evaluation and reduce the data input, and thus may greatly reduce the computing resources and bandwidth required for the evaluation.