{"id":"W2097523548","doi":"10.48550/arxiv.1302.4853","title":"Consistency of Online Random Forests","year":2013,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Consistency (knowledge bases); Random forest; Computer science; Data science; Data mining; Artificial intelligence","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":[0.02121698,0.001120398,0.002891196,0.002124601,0.002409459,0.004192878,0.005293161,0.003327516,0.006622686],"category_scores_gemma":[0.1345219,0.001208222,0.002261294,0.002511747,0.003350314,0.01543359,0.004799479,0.007464995,0.001891876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893576,"about_ca_system_score_gemma":0.002544113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001678463,"about_ca_topic_score_gemma":0.001831049,"domain_scores_codex":[0.975669,0.01036694,0.001411118,0.004898993,0.006233493,0.001420372],"domain_scores_gemma":[0.8560813,0.1048088,0.006222056,0.02194427,0.009278098,0.001665454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001491936,0.0003968162,0.01570732,0.0008386738,0.0004741332,0.0006368983,0.000773954,0.165396,0.00578744,0.6102056,0.02202525,0.1762661],"study_design_scores_gemma":[0.00008260631,0.0000881901,0.000875018,0.0001003823,0.00006357356,0.0004058536,0.00007121109,0.3283682,0.002511191,0.6616805,0.005710962,0.00004225782],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03468845,0.002424582,0.9494776,0.003127412,0.0005040776,0.0001372758,0.0009996116,0.001154174,0.007486705],"genre_scores_gemma":[0.6838687,0.001896649,0.2976169,0.002368906,0.002327978,0.000596987,0.002955587,0.001504939,0.006863292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02121698,"threshold_uncertainty_score":0.1122074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05044808000416271,"score_gpt":0.1854984864079621,"score_spread":0.1350504064037994,"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."}}