{"id":"W7026791661","doi":"","title":"AN ARGMAX ONE-VS-ALL APPROACH FOR MULTI-CLASS ANOMALY-BASED NETWORK INTRUSION DETECTION SYSTEM","year":2022,"lang":"en","type":"other","venue":"Covenant University Repository (Covenant University)","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feature selection; Intrusion detection system; The Internet; Ensemble learning; Random forest; Boosting (machine learning); Multilayer perceptron; Network security; Process (computing)","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":[0.003547373,0.001574596,0.002858333,0.001618229,0.001096336,0.001239915,0.002894253,0.001782674,0.002572541],"category_scores_gemma":[0.003975718,0.0007113754,0.001488555,0.0009538066,0.0006316605,0.001503106,0.001462411,0.002501818,0.0007095612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009657172,"about_ca_system_score_gemma":0.001497979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005773575,"about_ca_topic_score_gemma":0.005248839,"domain_scores_codex":[0.9980038,0.0005506072,0.0001610751,0.0006176841,0.0004117313,0.0002550286],"domain_scores_gemma":[0.9984918,0.0007052576,0.000133886,0.0001267802,0.0004538914,0.00008841532],"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":[0.0005915,0.0006373131,0.005191804,0.0001547961,0.0002869829,0.0002780883,0.0001785348,0.3792326,0.006232049,0.0029374,0.005196585,0.5990824],"study_design_scores_gemma":[0.00001032514,0.00008081573,0.0003060405,0.000004135274,0.00001655775,0.000034035,0.00001635168,0.9968437,0.0009820869,0.001187181,0.0005104744,0.000008286769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.047075,0.0007590838,0.946062,0.0005045021,0.0001593426,0.0002541431,0.0001775423,0.003441764,0.001566617],"genre_scores_gemma":[0.7120935,0.0002521994,0.2810663,0.000545951,0.0001564352,0.0004935018,0.0007884962,0.0002152703,0.004388308],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005773575,"threshold_uncertainty_score":0.0187605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987634235474003,"score_gpt":0.2188743985998101,"score_spread":0.1989980562450701,"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."}}