{"id":"W4414477657","doi":"10.54254/2754-1169/2025.lh27240","title":"Comparison and Optimization Strategies of Airbnb Rental Prediction Models: An Empirical Study Based on Linear Regression, XGBoost and Random Forest","year":2025,"lang":"en","type":"article","venue":"Advances in Economics Management and Political Sciences","topic":"Sharing Economy and Platforms","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Random forest; Renting; Leverage (statistics); Interpretability; Empirical research; Revenue; Decision tree; Linear regression; Linear model","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":[0.006758827,0.001172229,0.001222367,0.001690185,0.0005045341,0.001500367,0.001466042,0.001044458,0.001489874],"category_scores_gemma":[0.01182987,0.0003486171,0.001137367,0.002141748,0.0006800668,0.002552247,0.0006683472,0.001771506,0.0006495886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186247,"about_ca_system_score_gemma":0.001337898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02871485,"about_ca_topic_score_gemma":0.01954673,"domain_scores_codex":[0.9982284,0.0009443273,0.00007474929,0.0002904895,0.0002791006,0.0001830837],"domain_scores_gemma":[0.9913128,0.006748056,0.0006291448,0.0004525518,0.0006596381,0.0001978067],"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":[0.0004958842,0.0004688951,0.03836757,0.0002433988,0.0001565922,0.0000759881,0.0001011255,0.8791621,0.0005056011,0.003563669,0.00386255,0.07299652],"study_design_scores_gemma":[0.00001083393,0.00007781188,0.003817039,0.00001979212,0.00001791082,0.00001527866,0.00004053029,0.9945025,0.0002473088,0.00081684,0.0004236326,0.00001059085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9118892,0.002780959,0.07755355,0.0009246416,0.00008732322,0.0001612607,0.0009635841,0.0008780698,0.004761574],"genre_scores_gemma":[0.9732438,0.0005374574,0.02361669,0.0001079465,0.00002895189,0.00008823434,0.001175607,0.00009304946,0.001108362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02871485,"threshold_uncertainty_score":0.05709541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147512999472202,"score_gpt":0.3206339951442674,"score_spread":0.2891588651495454,"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."}}