Fig. 7
From: IHCP: interpretable hepatitis C prediction system based on black-box machine learning models
Overview of predicting hepatitis C patients and interpreting model predictions. Collect hepatitis dataset. Preprocess the hepatitis dataset with data cleaning, missing value filling, data balancing, and input into the model. Divide the dataset into training and testing sets to perform training and evaluate the best model. SHAP and LIME are applied to analyze the resulting experimental results