{"id":"W6961062611","doi":"10.1371/journal.pone.0299666.g014","title":"Confusuion matrix of AdaBoost.","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intrusion detection system; Recurrent neural network; Preprocessor; Pipeline (software); Process (computing); Feature extraction; Artificial neural network; Data pre-processing","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":[0.001868603,0.001548594,0.001093923,0.001528693,0.0007586408,0.001846104,0.003438929,0.00189636,0.04775341],"category_scores_gemma":[0.004949141,0.0005649517,0.0008817607,0.001075068,0.000579346,0.001128938,0.001332091,0.00198604,0.02319502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001076741,"about_ca_system_score_gemma":0.002203717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01212818,"about_ca_topic_score_gemma":0.01352192,"domain_scores_codex":[0.9985145,0.0002936627,0.000100343,0.0003837869,0.000508631,0.0001991126],"domain_scores_gemma":[0.9986545,0.000244378,0.00008578712,0.0001899343,0.0007378338,0.00008751376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003843572,0.0002760032,0.001230106,0.0002749197,0.0001177238,0.000100322,0.00006628912,0.1061101,0.002893876,0.01258861,0.1020603,0.7738973],"study_design_scores_gemma":[0.00004425997,0.00006536349,0.0004967958,0.00004138795,0.00001837006,0.00007744492,0.00003345228,0.9599303,0.003752525,0.006481713,0.02903532,0.00002320316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.006658716,0.0008267368,0.9458486,0.0007810114,0.001236501,0.0005927252,0.001306558,0.0164948,0.0262544],"genre_scores_gemma":[0.1511521,0.0004585414,0.7780005,0.001009483,0.0004249759,0.001647663,0.005225776,0.003860981,0.05822013],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04775341,"threshold_uncertainty_score":0.1597511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2206702279461683,"score_gpt":0.4439578094971245,"score_spread":0.2232875815509562,"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."}}