GitHub / rehmanzafar / dlime_experiments

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rehmanzafar%2Fdlime_experiments

Topics: breast-cancer-dataset, classifiers, clusters, dlime, explainable-ai, explainable-ml, heirarchical-clustering, knn, lime, machine-learning, neural-networks, python3, random-forest, scikit-learn, xai

Files

Dependencies