{"id":"W1943768448","doi":"10.48550/arxiv.1301.6684","title":"Comparing Bayesian Network Classifiers","year":2013,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Machine learning; Naive Bayes classifier; Artificial intelligence; Bayesian network; Conditional independence; Computer science; Bayesian programming; Bayes' theorem; Bayesian probability; Decision tree; Support vector machine; Bayes factor","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002701269,0.0004118843,0.0004688598,0.0001607543,0.0002534739,0.0003884564,0.002819775,0.0004187884,0.00004548703],"category_scores_gemma":[0.0000145428,0.0004793088,0.00022877,0.0005442347,0.0001270348,0.0004487729,0.002518476,0.001044856,0.0003053425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190003,"about_ca_system_score_gemma":0.0002378133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000291466,"about_ca_topic_score_gemma":0.00004103503,"domain_scores_codex":[0.9974544,0.0001721412,0.0002674893,0.001323499,0.000116145,0.0006663388],"domain_scores_gemma":[0.997578,0.00007961853,0.0002615792,0.001578824,0.0001604753,0.000341555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005249103,0.00003012679,0.003125726,0.0000337071,0.00005897392,0.00008093468,0.00009491941,0.5477906,0.000004216843,0.4448463,0.003051242,0.0008779704],"study_design_scores_gemma":[0.0001627002,0.00002017025,0.0007511042,0.0001202839,0.00002915853,0.000003293958,0.000018139,0.8241501,0.000008278448,0.173942,0.0003385402,0.0004561606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04739371,0.00008908677,0.9373791,0.0001475219,0.001063626,0.0002073284,0.000001901824,0.0005187034,0.01319904],"genre_scores_gemma":[0.9872276,0.0001058669,0.01068992,0.0002126515,0.0001985253,0.000001702445,0.000009966722,0.00002239775,0.001531399],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9398339,"threshold_uncertainty_score":0.9997659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1256933795164956,"score_gpt":0.1948135022175002,"score_spread":0.06912012270100468,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}