{"id":"W4286436713","doi":"10.18280/isi.270317","title":"Student Performance Prediction in Sebelas Maret University Based on the Random Forest Algorithm","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random forest; Support vector machine; Feature selection; Decision tree; Computer science; Machine learning; Data pre-processing; Artificial intelligence; Preprocessor; Statistical classification; Feature (linguistics); Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001227775,0.0007160102,0.0006542827,0.002167135,0.0003052904,0.0008216141,0.0005137059,0.000578889,0.001297768],"category_scores_gemma":[0.002104387,0.0001801896,0.0007770883,0.0009754211,0.0001047949,0.0003805646,0.000315164,0.0004853589,0.0007199191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004412464,"about_ca_system_score_gemma":0.000744919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086009,"about_ca_topic_score_gemma":0.007696754,"domain_scores_codex":[0.9995701,0.0001243182,0.00003668826,0.0001002664,0.00007136766,0.00009729237],"domain_scores_gemma":[0.9991519,0.0003578508,0.0001159364,0.00003495052,0.000245529,0.00009384657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001272012,0.001327455,0.4720195,0.0001334725,0.0002402951,0.0006716037,0.0001835096,0.2451017,0.00283939,0.0006355972,0.005943999,0.2696315],"study_design_scores_gemma":[0.0000372871,0.0003032924,0.07796263,0.00003554636,0.00006241115,0.0001261889,0.0001560186,0.9187829,0.001223705,0.000494043,0.0007892982,0.00002660543],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544058,0.0004758066,0.04140067,0.0003482723,0.00007330855,0.0001057521,0.001225783,0.0005646731,0.001399925],"genre_scores_gemma":[0.9817671,0.0001740599,0.01558056,0.00001932908,0.00002686693,0.00007272475,0.001430478,0.00001491474,0.0009139107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086009,"threshold_uncertainty_score":0.02159375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00804468182461166,"score_gpt":0.204745272260683,"score_spread":0.1967005904360714,"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."}}