{"id":"W4385078096","doi":"10.18280/isi.280305","title":"Optimization of Hyperparameters in Machine Learning for Enhancing Predictions of Student Academic Performance","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitas Diponegoro","keywords":"Hyperparameter; Machine learning; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006544633,0.00008039198,0.000167392,0.0005074121,0.00009145165,0.00003089549,0.0002508654,0.00006751926,0.000001184283],"category_scores_gemma":[0.0002840635,0.00008135418,0.00004421905,0.0009499446,0.00003717437,0.001452146,0.00007735674,0.0001614401,0.000003876463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007451414,"about_ca_system_score_gemma":0.000055841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723815,"about_ca_topic_score_gemma":0.000003595003,"domain_scores_codex":[0.9988977,0.00003565829,0.0006135838,0.00008486401,0.000202036,0.0001661529],"domain_scores_gemma":[0.9991955,0.0001280588,0.0003646064,0.0001275047,0.0001592907,0.00002511221],"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":[0.000005991594,0.000008476861,0.0205997,0.0002373046,0.000008943216,6.758393e-8,0.005029205,0.9619663,0.0001475043,0.000423332,0.000006321972,0.01156687],"study_design_scores_gemma":[0.0002707559,0.000139566,0.01442774,0.000218417,0.000006601535,0.000001872978,0.0005332018,0.9832171,0.0009187774,0.0001437528,0.00005120838,0.00007101819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4820307,0.00002049881,0.5174615,0.00004565375,0.00009281205,0.0001388918,0.000003742709,0.00009293477,0.0001132452],"genre_scores_gemma":[0.9840181,0.0001290368,0.01570584,0.00001131935,0.00001394758,0.00002334854,0.00005918169,0.000005036063,0.00003418221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5019874,"threshold_uncertainty_score":0.3317527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01902726775748292,"score_gpt":0.2746351486327378,"score_spread":0.2556078808752549,"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."}}