Predictive model explanation method, Predictive model explanation program, Predictive model explanation device

摘要

PROBLEM TO BE SOLVED: To explain a prediction model with high accuracy. SOLUTION: In the method for explaining a prediction model of an embodiment, a computer executes a process of selecting, a process of creating, a process of specifying, a process of recreating, and a process of outputting. The selection process selects a plurality of models capable of linearly separating the data contained in the data set based on the data set input to the prediction model and the prediction result of the prediction model for the data set. The process to create creates a decision tree with each of the selected models as a leaf and each of the logics that classify the data contained in the dataset as a clause. The identifying process identifies the branches to be pruned on the decision tree based on the variability of the data belonging to the leaves of the decision tree created. The process of recreating recreates the decision tree based on the dataset corresponding to the pruned decision tree of the identified branch. The output process outputs the logic corresponding to each section of the recreated decision tree as the explanation result of the prediction model. [Selection diagram] FIG. 7