The invention discloses a Meta-learner-based training data generation method and a causal effect heteroreaction difference estimation method, and the method comprises the following steps: firstly obtaining original training data through a random field test, learning two basic learners, carrying out the cross testing of the original training data through the two basic learners through the meta-learner, and generating training data; respectively learning a task sub-learner aiming at the processing group and the control group by utilizing the generated training data, and forming a final task learner by the two task sub-learners; through the final task learner, realizing the estimation of the heteroreaction difference value of the causal effect of the user. Based on the meta learner, a set of framework capable of estimating the causal effect heteroreaction difference is provided, and the framework can be combined with any base learner model for use and is used for estimating any type of causal effect reaction difference; for example, the invention can be used for guiding discount means of pricing, design of effective advertisement strategies, design of product sizes and packaging schemes and the like.
Meta-learner-based training data generation method and causal effect heteroreaction difference estimation method