RISK IDENTIFICATION MODEL TRAINING METHOD AND APPARATUS, AND SERVER

摘要

A risk identification model training method. As different types of unsupervised machine learning algorithms have different requirements on features, the type of a target unsupervised machine learning algorithm can be first determined (S201), then various types of feature information are extracted from input information, and from the feature information, target feature information is extracted according to a feature extraction mode corresponding to the type of the target unsupervised machine learning algorithm (S202). As the target feature information adapted to the target unsupervised machine learning algorithm is extracted, the target feature information is trained on the basis of the target unsupervised machine learning algorithm, and a higher identification accuracy of the target risk identification model corresponding to the target unsupervised machine learning algorithm is obtained, thereby ensuring the accuracy of risk identification.