This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches. We trained different ML models. including convolutional neural networks. self-normalizing neural networks. https://balboasurfandsstylers.shop/product-category/boys-romper/