{ "data_id": "45216", "name": "andes_8", "exact_name": "andes_8", "version": 1, "version_label": null, "description": "**Andes Bayesian Network. Sample 8.**\n\nbnlearn Bayesian Network Repository reference: [URL](https:\/\/www.bnlearn.com\/bnrepository\/discrete-verylarge.html#andes)\n\n- Number of nodes: 223\n\n- Number of arcs: 338\n\n- Number of parameters: 1157\n\n- Average Markov blanket size: 5.61\n\n- Average degree: 3.03\n\n- Maximum in-degree: 6\n\n**Authors**: C. Conati, A. S. Gertner, K. VanLehn, M. J. Druzdzel.\n\n**Please cite**: ([URL](https:\/\/link.springer.com\/chapter\/10.1007\/978-3-7091-2670-7_24)): C. Conati, A. S. Gertner, K. VanLehn, M. J. Druzdzel. On-line Student Modeling for Coached Problem Solving Using Bayesian Networks. In Proceedings of the 6th International Conference on User Modeling, pages 231-242. Springer-Verlag, 1997.", "format": "arff", "uploader": "Pablo Torrijos Arenas", "uploader_id": 33148, "visibility": "public", "creator": "\"C. Conati, A. S. 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