{"id":"W349770100","doi":"","title":"The Optimality of Naive Bayes.","year":2004,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1402,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Naive Bayes classifier; Machine learning; Bayesian programming; Bayes error rate; Artificial intelligence; Conditional independence; Bayes classifier; Bayes' theorem; Computer science; Classifier (UML); Mathematics; Bayes factor; Support vector machine; Bayesian probability","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03122493,0.001677012,0.00309447,0.003298537,0.0022856,0.00727718,0.003316134,0.005002101,0.008240033],"category_scores_gemma":[0.1216915,0.001640705,0.001917401,0.002747437,0.008912386,0.01076893,0.003435277,0.006095442,0.006524906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003718905,"about_ca_system_score_gemma":0.004874913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004242032,"about_ca_topic_score_gemma":0.003735946,"domain_scores_codex":[0.9623662,0.0188594,0.001638181,0.003974867,0.01220915,0.0009523154],"domain_scores_gemma":[0.918945,0.06512619,0.002848572,0.007335252,0.00510595,0.0006390203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00011004,0.00005330693,0.001953902,0.0005079866,0.0003071871,0.00007428414,0.0003118975,0.01402182,0.0002867795,0.8348631,0.02266676,0.124843],"study_design_scores_gemma":[0.00004163279,0.00002927434,0.0003387546,0.0001403533,0.0000407173,0.0001072554,0.00003210727,0.02768392,0.0002011692,0.9595046,0.0118577,0.00002249796],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005838065,0.01264365,0.8942673,0.02081044,0.001332455,0.0003429953,0.0009422414,0.0008205411,0.06300229],"genre_scores_gemma":[0.3514125,0.01472976,0.5975172,0.01062049,0.005371383,0.001033215,0.001648973,0.0005720515,0.01709448],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03122493,"threshold_uncertainty_score":0.1651352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804341773806222,"score_gpt":0.2526500020834926,"score_spread":0.2346065843454304,"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."}}