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Questions tagged [explainable-ai]

Use for questions about explainable artificial intelligence (AI), which aims at understanding, interpreting, and explaining the decisions that have been made by complex AI systems

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Explainable anomaly detection

There are plenty of working for explaining prediction in supervised learning (e.g. SHAP values, LIME). What about for anomaly detection in unsupervised learning? Is there any model for which there ...
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What is the meaning of an empty SHAP graph in Explainable AI?

Using Python, I created a neural network to perform predictions on a binary class dataset (e.g. will a passenger survive the Titanic?). I am using the SHAP package to explain individual predictions. ...
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How to restructure my dataset for interpretability without losing performance?

What I am doing: I am predicting product ratings using boosted trees (XGBoost) with a dataset in this format: What I want to do: I want to use SHAP TreeExplainer to interpret each prediction my ...
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Explanation of how DeepExplainer works to obtain SHAP values in simple terms

I have been using DeepExplainer (DE) to obtain the approximate SHAP values for my MLP model. I am following https://github.com/slundberg/shap and DE's performance is very high in terms of computation ...
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Local Interpretable Model-Agnostic Explanations (LIME) implementation on MATLAB

Do you know if there's a MATLAB implementation of the LIME framework, by Marco Ribeiro et al.? Specifically, i'm referring to this work LIME by Marco Ribeiro et al. I have seen the author have a ...
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Is it valid to compare SHAP values across models?

Let's say I have three models- a random forest with 100 trees, a random forest with 1000 trees, and an xgboost model. I can rank the importance of my features on my dataset for each model using SHAP, ...
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1answer
54 views

Explainability ML Methods

I am currently working on a Machine-Learning Model. In order to explain how it works, I have looked at Partial Dependence Plots, Feature Importance and all kinds of methods, but one thing still ...
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1answer
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Evaluating machine learning explainers?

I'm working on a project where multiple machine learning explainers (LIME and SHAP, potentially more coming) are applied to pre-trained models (neural networks) to help explain the predictions of ...
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How to handle the parameter space of neural networks?

This question is very broad (and might even be closed as "too broad"). It can be considered as a beginners question, because it is largely about getting started in terms of heading into a direction ...