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--- courses:xai:p2_2024 [2026/01/19 07:17] – admin
+++ courses:xai:p2_2024 [2026/01/19 07:23] (current) – [Alpha Evolve] admin
@@ Line 4: / Line 4: @@
 Projects marked with {{:courses:xai:contract.png?25|}} can be (with some additional work and depending on the results) published as scientific papers.
-===== Shap on OPTUNA  =====
+===== ACFXon OPTUNA  =====
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-The goal is to run hyperparameter optimization algorithm such as optuna, collect results from it and use SHAP to try to explain the impact of different hyperparameters on the quality of the optimization process
+The goal is to run hyperparameter optimization algorithm such as optuna, collect results from it and use [[https://github.com/sbobek/acfx|ACFX]] to try to explain the impact of different hyperparameters on the quality of the optimization process
 ===== PPCF Counterfactual explainer evaluation  =====
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 Try to setup and raun exmaple from AlphaEvolve public implementation: https://arxiv.org/abs/2506.13131
+===== Run and compare different XAI methos on anomaly detection task =====
+{{:courses:xai:winner.png?30|}}
+{{:courses:xai:contract.png?30|}}
+Focus on rule-based explainers, but also SAHP and LIME: calculate output for anomaly detection task (e.g.: https://zenodo.org/records/11469702) and analyze results