{"id":"W4403793228","doi":"10.53555/ajbr.v27i3s.2891","title":"Heart Disease Prediction: A Machine Learning Model for Evaluation and Hyperparameter Tuning","year":2024,"lang":"en","type":"article","venue":"African Journal of Biomedical Research","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Hyperparameter; Machine learning; Artificial intelligence; Hyperparameter optimization; Computer science; Support vector machine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01514089,0.00009681268,0.0002312263,0.000630843,0.0008330405,0.00004508724,0.000173899,0.000140804,0.0002555859],"category_scores_gemma":[0.01131647,0.00007248195,0.00008225492,0.0006030932,0.0003654346,0.000193237,0.0001110563,0.002117223,0.00003155031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650035,"about_ca_system_score_gemma":0.002583287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000770049,"about_ca_topic_score_gemma":0.00001793901,"domain_scores_codex":[0.995155,0.001519056,0.0008079563,0.000249055,0.001680422,0.000588526],"domain_scores_gemma":[0.9926562,0.004796621,0.0001041407,0.0001347344,0.001470174,0.0008381504],"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":[0.006306897,0.0006236772,0.09688748,0.006684398,0.0004156726,0.0003266491,0.07273453,0.003429026,0.006923435,0.008282323,0.107146,0.6902399],"study_design_scores_gemma":[0.0002316466,0.0005757685,0.0004140675,0.000835376,0.00003611448,0.00001237397,0.003256564,0.9501204,0.000005894516,0.01435939,0.03009505,0.00005730411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7782056,0.01764725,0.08677129,0.1112384,0.002133354,0.003099013,0.0001998473,0.0001209213,0.0005843068],"genre_scores_gemma":[0.9963477,0.0001952242,0.001564493,0.0001858931,0.0009401792,0.0001338485,0.00001285457,0.00002787755,0.0005919279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9466915,"threshold_uncertainty_score":0.9970116,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4226268472239919,"score_gpt":0.5932676309198393,"score_spread":0.1706407836958473,"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."}}