Feature binning method and device, computer equipment and storage medium

The embodiment of the invention belongs to the field of artificial intelligence, and relates to a feature binning method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a modeling sample set comprising a plurality of modeling samples, the modeling samples comprising label variables and to-be-binned feature variables; the evidence weight and the information value serve as decision tree segmentation standards, the modeling sample set is segmented from the feature variable dimension, candidate binning results under multiple decision trees are obtained, the evidence weight and the information value are calculated based on label variables, the depth of each decision tree is smaller than or equal to the preset maximum depth, and the candidate binning results are obtained. Each depth corresponds to at least one candidate binning result; and screening the candidate binning results according to the evidence weight of each binning in the candidate binning results to ob