{"id":"W4403905285","doi":"10.59934/jaiea.v4i1.546","title":"Classification Of Students Based On Factors That Affect Student Learning Achievement Using The K-Means Clustering Algorithm (Case Study: STMIK Kaputama Binjai)","year":2024,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Cluster analysis; Affect (linguistics); k-means clustering; Computer science; Artificial intelligence; Algorithm; Mathematics education; Machine learning; Mathematics; Psychology","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":[0.000893012,0.0003341677,0.0003855301,0.002126701,0.001518112,0.001159207,0.0005793419,0.0007371911,0.001509015],"category_scores_gemma":[0.002461639,0.0001643224,0.0006029613,0.002067606,0.0004125615,0.0005201084,0.0006235999,0.0005613476,0.0005314552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008812551,"about_ca_system_score_gemma":0.0007431612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009226128,"about_ca_topic_score_gemma":0.008329084,"domain_scores_codex":[0.9991663,0.0001784705,0.00008748606,0.0001773727,0.000265342,0.0001251693],"domain_scores_gemma":[0.9989292,0.0003588448,0.0001481464,0.0000635182,0.0003651412,0.0001351607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008203617,0.003002012,0.6829373,0.0003901003,0.0001456664,0.00508674,0.02136799,0.006448348,0.00925253,0.001677449,0.004839398,0.264032],"study_design_scores_gemma":[0.00008561926,0.001759079,0.8439909,0.000161779,0.000212373,0.00431217,0.05242039,0.06338885,0.02099048,0.002342387,0.01009677,0.0002391155],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921015,0.00006721067,0.005276785,0.0002759329,0.00001205746,0.0001424725,0.0001744806,0.00005088542,0.001898646],"genre_scores_gemma":[0.9892707,0.00009270401,0.00882731,0.0000308502,0.00000503803,0.00007580061,0.0002385385,0.000008950034,0.001450119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009226128,"threshold_uncertainty_score":0.01834482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05838127959992512,"score_gpt":0.3526076048721286,"score_spread":0.2942263252722034,"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."}}