Optimized method for Unity-employed AB setting based on feature classification trainer

The invention provides an optimized method for Unity-employed AB setting based on a feature classification trainer. The method comprises the following steps: obtaining a game resource installation anduninstallation time table for a target game program through a monitoring interface; generating a corresponding clustering result by using a clustering method according to the installation and uninstallation time table of the game resources, and further obtaining a non-sequential clustering set in the clustering result; digitally encoding the resource file information corresponding to the non-sequential clustering set to generate a corresponding integer data set; training the integer data set by using a classification iteration method to obtain a corresponding classifier; dividing the resourcefile information corresponding to the non-sequential clustering set into a plurality of packaging labels through a classifier, and optimizing and packaging the game resources according to the packaging labels and clustering r