Closed FreeSpirit11 closed 3 months ago
Hi @Akshat111111, I have raised this issue. Please assign it to me.
Hello @Akshat111111 Can you assign me this issue. I would like to work on this issue
Hello @Akshat111111 Can you assign me this issue. I would like to work on this issue
Let @FreeSpirit11 work on it.You can create a new issue with your idea
I want to use LIME (Local Interpretable Model-agnostic Explanations) to explain model predictions of Loan Status Prediction Model (Loan Status Prediction/Loan_Status_prediction.ipynb)
This code will demonstrates how to use LIME to explain a prediction made by the trained Logistic Regression model. It will create a LIME explainer, select an instance from the test set to explain, and generate an explanation using the explainer's explain_instance method.
The explanation will include feature importance scores, indicating the contribution of each feature to the model's prediction for the selected instance. These scores help stakeholders understand which features are driving the model's decision and how they influence the predicted outcome.