Model training method, service processing method, device and equipment

The embodiment of the invention provides a model training method, a service processing method, a device and equipment. The method comprises the following steps: acquiring at least one historical record service, wherein the historical record service corresponds to service information; determining a judgment result of the historical record service corresponding to at least one preset judgment rule according to the service information, wherein the judgment result comprises a normal service and an abnormal service; constructing at least one training sample service by utilizing the service information of the historical record service of the abnormal service in the judgment result, wherein the number of the training sample businesses is greater than that of the abnormal businesses; and trainingan abnormal service identification model based on the training sample service, wherein the abnormal service identification model is used for identifying the abnormal service. According to the method,the number of the abnormal services is expanded after the abnormal services are obtained, and the expanded training sample services are used for training the model, so that the sufficient sample sizeis ensured during model training, and the accuracy of abnormal service identification is ensured.