{"id":"W4220823507","doi":"10.18280/isi.270119","title":"Spam Mail Detection Using Optimization Techniques","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Naive Bayes classifier; Decision tree; Random forest; Machine learning; Spamming; Precision and recall; Python (programming language); Support vector machine; Artificial intelligence; The Internet; Data mining; Classifier (UML); World Wide Web","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":[0.001585015,0.001096468,0.00164968,0.002911914,0.0004753006,0.001223986,0.0006030204,0.001191264,0.001952561],"category_scores_gemma":[0.004002593,0.0003940033,0.0009974207,0.001430239,0.0004451537,0.0008123136,0.0005316982,0.0005649062,0.001128081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005594728,"about_ca_system_score_gemma":0.0007608703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002101144,"about_ca_topic_score_gemma":0.001061697,"domain_scores_codex":[0.9990836,0.0002986643,0.00006328373,0.0001509541,0.0003014851,0.0001020148],"domain_scores_gemma":[0.9985642,0.0007325984,0.0002551226,0.00007831916,0.0003395737,0.00003016071],"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":[0.0003564849,0.0002690148,0.004447454,0.0003973171,0.0001854069,0.000177043,0.0001671717,0.5168033,0.01158479,0.007010777,0.007381997,0.4512192],"study_design_scores_gemma":[0.00001053153,0.00004712628,0.0008117768,0.00001954343,0.00002234357,0.00005226358,0.00002242277,0.9932321,0.002568071,0.001907028,0.00129653,0.00001019844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05151175,0.001691321,0.9363864,0.0003931014,0.00007937969,0.0001348378,0.0001424014,0.003052655,0.00660821],"genre_scores_gemma":[0.4838229,0.001020232,0.5083665,0.0002661824,0.0001369325,0.0002455121,0.0005037366,0.0003391184,0.005298902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002911914,"threshold_uncertainty_score":0.008382499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148420986288966,"score_gpt":0.2206994099147303,"score_spread":0.2058573112858337,"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."}}