Object classification model training method, object classification method and device

The invention relates to an object classification model training method and device, an object classification method and device, computer equipment, a storage medium and a computer program product, and relates to the technical field of machine learning. The method can be used in financial science and technology fields or other related fields. The method comprises the following steps: acquiring a training sample set for training an object classification model; respectively determining target object features used for training each base classifier from the plurality of object features; obtaining a first prediction classification result of the base classifier for the training sample set according to the target object features corresponding to the base classifier; obtaining a first classification error rate of the object classification model based on the first prediction classification result of each base classifier; and when the first classification error rate does not reach the preset condition, adding a new base