Accurately predicting well productivity is crucial for optimizing gas production and maximizing recovery from tight gas reservoirs. Machine learning (ML) techniques have been applied to build predictive models for the well productivity. but their high complexity and low interpretability can hinder their practical application. This study proposes using interpretable ML solutions. https://www.opheliasmuse.com/