Unboxing Machine Learning Models For Concrete Strength Prediction Using Xai

This article discusses the use of XAI techniques for predicting concrete strength. It outlines the five fundamental stages of the machine learning framework for predicting concrete strength, which include data collection, data exploration, data preprocessing, model training, and model evaluation. The article also highlights the importance of feature importance analysis and local interpretability methods for discerning the key factors that significantly impact concrete strength prediction.