Forest algorithm based staff incentive mechanism design of non-public enterprise from the perspective of positive organizational behavior

In order to enhance the effectiveness of the staff incentive mechanism of non-public enterprise, this paper puts forward a design method for staff incentive mechanism of non-public enterprise from the perspective of positive organizational behavior. Firstly, it researches the staff incentive mechanism of non-public enterprise and establishes the index evaluation system from the aspects such as achievement incentive capability incentive and environment incentive; secondly, it introduces forest algorithm to use the independent growth of trees and make votes for parallel searching in order to enhance the effectiveness of model evaluation, and bases on the random weight distribution strategy to enhance the calculation efficiency of forest algorithm; finally, it verifies the effectiveness of the algorithm through empirical analysis.