Method and electronic device for evaluating performance of identification model

An electronic device for evaluating a performance of an identification model, comprising:

• a transceiver, obtaining a source data sample, a plurality of test samples, and a target data sample;
• a storage medium, storing a plurality of modules;
• and
• a processor, coupled to the storage medium and the transceiver, and accessing and executing the plurality of modules, wherein the plurality of modules comprise:
• a training module configured to train a pre-trained model based on the source data sample;
• a test module configured to input the plurality of test samples into the pre-trained model to obtain a normal sample and an abnormal sample;
• a processing module configured to convert the source data sample, the normal sample and the abnormal sample to respectively generate a converted source data sample, a converted normal sample and a converted abnormal sample, wherein the training module is further configured to adjust the pre-trained model to obtain the identification model according to the converted source data sample and the target data sample;
• and
• an evaluating module configured to input the converted normal sample and the converted abnormal sample into the identification model to evaluate the performance of the identification model.