SAMPLE PROCESSING BASED ON LABEL MAPPING

A method is proposed for sample processing. A first label for a training sample in a plurality of training samples is mapped into a second label, the first label being represented in a first label space and the second label being represented in a second label space smaller than the first label space. A plurality of classification models are obtained based on the second label and the training sample, a classification model describing an association relationship between a sample and a classification of a label, represented in the second label space, for the sample. A predication model is generated based on the plurality of classification models, the predication model describing an association relationship between a sample and a label, represented in the first label space, for the sample. The long tail effect in the original label space may be alleviated in building the predication model.