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pojęcia
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Data Perturbation

Process of generating synthetic samples by slightly modifying the characteristics of an original instance to build the local neighborhood required for explanation.

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Instance Neighborhood

Set of data points generated by perturbation around a specific observation, used to learn the local behavior of the complex model.

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Kernel LIME

LIME variant using a kernel function to define similarity between instances, allowing handling of different data types and representation spaces.

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Textual Explanation

Specific application of LIME for natural language processing models, identifying influential words or word groups in text classification.

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Image Explanation

Use of LIME for computer vision, where superpixels (image segments) are perturbed to determine key visual regions in a prediction.

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Local Decision Boundary

Boundary approximated by the surrogate model in the neighborhood of an instance, representing how the complex model separates classes locally.

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Surrogate Model Complexity

Parameter controlling the sophistication of the simple model used in LIME, balancing interpretability and fidelity to local approximation.

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Approximation Bias

Potential error introduced by the fact that the surrogate model does not perfectly capture the behavior of the original model except in a limited area.

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Explanation Function

Mathematical function that, for a given instance, returns an interpretable explanation by minimizing the fidelity loss between the original model and the surrogate.

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