Classification model recommendation method and device based on multi-modal feature fusion

The invention provides a classification model recommendation method and device based on multi-modal feature fusion. The method comprises the following steps: constructing a single-modal classification model corresponding to any modal and a combined modal classification model corresponding to a modal combination formed by two or more modals; obtaining a training sample corresponding to the current classification scene and a classification label thereof, and performing performance test on the single-mode classification model corresponding to each mode and the combined mode classification model corresponding to each mode combination to obtain performance index values of each single-mode classification model and each combined mode classification model; and screening out a plurality of candidate classification models based on the performance index values of each single-mode classification model and each combined-mode classification model, and carrying out model recommendation based on the plurality of candidate cl