The present invention relates to a load model parameter verification method based on decision tree classification, comprising the following steps of 1) obtaining load module parameters of load nodes and voltage, current, active power and reactive power dynamic characteristic curves of the corresponding load node; 2) discretizing load model parameter sections; 3) obtaining final characteristic segments shapelet and corresponding split points d; 4) selecting the final characteristic segment shapelet having the maximum information gain as the best characteristic segment shapelet; 5) dividing all samples into data subsets; 6) determining whether all the samples are correctly classified, if not, returning a step 7), and if so, returning a step 8); 7) respectively determining the samples in D1 and D2, and returning the step 3) for iterative search; 8) utilizing a C4.5 algorithm and successively obtaining decision tree models of pct, s0 and R2; and 9) testing classification accuracy of the obtained decision trees by using a 10-fold cross validation method, and further obtaining the integral accuracy of a load model parameter verification model.