{"id":"W4401927852","doi":"10.30998/faktorexacta.v17i2.20625","title":"Application of Data Mining to Prediction of New Students' Interested Departements With an Approach Naive Bayes Algorithm","year":2024,"lang":"en","type":"article","venue":"Faktor Exacta","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Naive Bayes classifier; Computer science; Bayes' theorem; Machine learning; Data mining; Artificial intelligence; Algorithm; Bayesian probability; Support vector machine","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":[0.005862673,0.001114458,0.001371882,0.004585875,0.001093053,0.002380837,0.001338872,0.001286218,0.001154493],"category_scores_gemma":[0.0191739,0.0006583231,0.001787257,0.003597799,0.0005567828,0.001777259,0.0006351695,0.001601609,0.0005479638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295933,"about_ca_system_score_gemma":0.002442549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01291886,"about_ca_topic_score_gemma":0.009750822,"domain_scores_codex":[0.9935502,0.00247489,0.0007945372,0.0009767953,0.002003589,0.0002000535],"domain_scores_gemma":[0.9880998,0.008280586,0.0007133547,0.0004989129,0.002253344,0.0001539865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000393275,0.0007326717,0.06338473,0.0008527216,0.0007738833,0.0003829953,0.0008471287,0.2334219,0.003897948,0.01381948,0.006459611,0.6750336],"study_design_scores_gemma":[0.00005986835,0.0002235727,0.006715993,0.0002254382,0.0001740648,0.0002196302,0.000271911,0.959164,0.003069276,0.02342402,0.006360651,0.00009145949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.055434,0.001081246,0.9362732,0.00108923,0.0002382158,0.0006759919,0.0007735728,0.001002299,0.003432296],"genre_scores_gemma":[0.3659802,0.0007883766,0.629719,0.0003477643,0.0001371158,0.0005513454,0.001031091,0.00004466146,0.001400463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01291886,"threshold_uncertainty_score":0.03100514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0556366199933182,"score_gpt":0.3366052046985418,"score_spread":0.2809685847052236,"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."}}