Questions tagged [lime]
Questions related to the Locally Interpretable Model-Agnostic Explanations (LIME) method of explaining black-box machine learning models.
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Comparison between SHAP (Shapley Additive Explanation) and LIME (Local Interpretable Model-Agnostic Explanations)
I am reading up about two popular post hoc model interpretability techniques: LIME and SHAP
I am having trouble understanding the key difference in these two techniques.
To quote Scott Lundberg, ...
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1
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LIME explanation confusion [closed]
I am working in R creating a GBM model using H2O and trying to use LIME to look at some local explanations to get a feel for what the model is doing. It's a binary classifier and I'm specifying 8 for ...
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Lime predictions - Interpretation
I am working on a binary classification using random forest and explanation using LIME. I already referred the posts here, here and here.
I have the feature contribution info from LIME like as shown ...
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2
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1
answer
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H2o interpretability - LIME
I have trained a model to predict heart attacks using random forest algorithm using H2O.
I have good performance in cross validation.
Now, I want to give more interpretation to the predictions in a ...
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0
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How to handle inconsistency in ML explanations?
I found out that we have different solutions like below to explain the ML predictions
a) LIME
b) SHAP
Despite using all these approaches, I see that all of them work for certain data points and not ...
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1
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Why LIME does not show prediction probability for the other class?
On the picture above you can see prediction probabilities. In this case it shows 100% poisonous. However, on next two figures it shows that there is actually small probability of other class (with ...
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0
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Does lime score matter for continuous variable discretization?
I am using a random forest classifier for binary classification with 977 records and class proportion of 77:23.
I am using Lime explainer to explain the predictions made by the model.
However, I see ...
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