{"id":"W3216438119","doi":"10.1109/iri51335.2021.00009","title":"Evaluating Deep Neural Nets and Optimized Hyperparameters Random Forest for Decision Support Systems","year":2021,"lang":"en","type":"article","venue":"","topic":"Imbalanced Data Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Hyperparameter; Random forest; Support vector machine; Computer science; Artificial intelligence; Machine learning; Deep learning; Artificial neural network; Decision support system; Decision tree; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006147617,0.001725232,0.00102234,0.001352227,0.0004343795,0.000990944,0.0007667157,0.001444307,0.001031394],"category_scores_gemma":[0.0132794,0.0003641302,0.0009874725,0.0008555455,0.0003859298,0.001273571,0.0004934794,0.001307743,0.0004062802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604722,"about_ca_system_score_gemma":0.001512789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01833046,"about_ca_topic_score_gemma":0.01518806,"domain_scores_codex":[0.9978712,0.001051443,0.0001835107,0.0003154014,0.0003557983,0.0002226251],"domain_scores_gemma":[0.9913695,0.006365158,0.0003730356,0.0003170476,0.001385931,0.000189355],"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":[0.001024753,0.0004084064,0.01357102,0.000175502,0.0002383293,0.00007347637,0.00003870264,0.8581287,0.0009203035,0.0008130058,0.002386703,0.1222211],"study_design_scores_gemma":[0.00003161557,0.0001972169,0.001361701,0.00002396808,0.00002993317,0.00001550423,0.00001704453,0.9967567,0.0007466555,0.0006384833,0.0001721246,0.000008929641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7991307,0.007441336,0.1824382,0.001246511,0.000416299,0.0004097847,0.001524128,0.002111109,0.005281906],"genre_scores_gemma":[0.9494426,0.0005563555,0.04714968,0.0001473445,0.00005485359,0.0001256976,0.001598447,0.00004523784,0.000879786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01833046,"threshold_uncertainty_score":0.03644753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06233908436117069,"score_gpt":0.3471295184346636,"score_spread":0.2847904340734929,"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."}}