A good way to evaluate the efficacy of the proposed Neural Persistence method is to compare its performance with existing methods on a wide range of tasks, such as image classification, natural language processing, or any other task where a complexity measure can be beneficial. This comparison can be performed by analyzing the accuracy of the model for each task, or if possible, the running time. As a way to validate the proposed method further, a set of experiments can be conducted in which different parameters of the model are varied to observe how it affects its outputs.
Design an experiment to evaluate the efficacy of the proposed method.
Proposed Method: Neural persistence