Lime value and feature importance are inconsistent with different random seed

[sweta30]

While using the iris dataset, I tried to generate LIME values for features with a different random seed and got inconsistency in LIME values and feature importance between each run. So wanted to raise a concern about its reliability. I have uploaded two screenshots from my observation.

sample used for explanation : 5.5 , 3.5 , 1.3 , 0.2

First Run

Second Run

[sharmajee499]

There are various places in the algorithms that use random numbers. If one doesn't use a consistent random_seed() value, it is obvious to get different results while running with the same parameter or hyperparameters. So, it is unsurprising if you got different results from different random seeds. I would suggest checking this article for more info. I hope this answers your question.