title: Is there a way to give a reason with every prediction in a machine learning model
body: <p>I am working on a project where I need to provide a reason for every data row that gets a prediction from my Machine Learning Model. I am using a Logistic Regression Model (binary classification) to get my predictions and the cutoff threshold is 0.6. I have tried using SHAP and ELI5 to identify the most important features but this is globally for all the data points. I want to give a reason for every data point why it got classified as 1. I'm not really sure how to make it locally interpretable for humans to understand the prediction.</p>