{"id":"W4220904311","doi":"10.35957/jatisi.v9i1.1542","title":"Perbandingan Kinerja Akurasi Klasifikasi K-NN, NB dan DT pada APK Android","year":2022,"lang":"id","type":"article","venue":"JATISI (Jurnal Teknik Informatika dan Sistem Informasi)","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Operating system; Malware; Humanities; Art","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008682539,0.001783811,0.001381289,0.0009448545,0.001007583,0.003516676,0.001421329,0.001501112,0.02518731],"category_scores_gemma":[0.003107501,0.0006449398,0.0009845162,0.0004879908,0.0007182799,0.003339652,0.001424453,0.001623667,0.02016144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008562515,"about_ca_system_score_gemma":0.001388978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006597858,"about_ca_topic_score_gemma":0.008001563,"domain_scores_codex":[0.9987158,0.0001205805,0.0001287373,0.0003166918,0.0005076774,0.0002106012],"domain_scores_gemma":[0.9984975,0.0003361025,0.0001001322,0.0003112483,0.0006559559,0.00009911805],"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":[0.002234286,0.0002668538,0.007482627,0.002218838,0.0002167328,0.001356128,0.0008376856,0.007539973,0.1162567,0.01147237,0.03137294,0.8187448],"study_design_scores_gemma":[0.0003941548,0.001911869,0.02547826,0.001172905,0.00108651,0.007415081,0.001747615,0.172263,0.1904129,0.02231758,0.5751195,0.0006806866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.153752,0.02379685,0.5454227,0.003758476,0.004303485,0.001640784,0.003662091,0.05766542,0.2059982],"genre_scores_gemma":[0.6430749,0.008317686,0.1812141,0.00181253,0.0005143992,0.0006847157,0.003411116,0.002395385,0.1585753],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02518731,"threshold_uncertainty_score":0.08425999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01519276380883068,"score_gpt":0.2467422087838022,"score_spread":0.2315494449749715,"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."}}