MLR and ANN process modeling, optimization, and XAI tools

This dataset includes CCD result data for Echinocandin B, along with codes for developing multiple linear regression and artificial neural network (ANN) models to optimize the production process based on parameters such as pH, dextrose, molasses, and casein. It contains scripts for hyperparameter optimization, genetic algorithm-based ANN model optimization, explainable AI (XAI) for model interpretation, and statistical model comparison. Additionally, the package provides code for generating response surface methodology (RSM) plots, residual plots for model accuracy assessment, and LIME-SHAP plots for model explanation.