{"id":"W2106004777","doi":"10.1111/j.1467-8640.2010.00366.x","title":"DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS","year":2010,"lang":"en","type":"article","venue":"Computational Intelligence","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":88,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institute for Advanced Research","keywords":"Decision tree; Curse of dimensionality; Machine learning; Computer science; Artificial intelligence; Partition (number theory); Representation (politics); Decision tree learning; Set (abstract data type); Mathematics; Theoretical computer science; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.008943257,0.001228083,0.002309093,0.001735153,0.001217033,0.003267176,0.003047379,0.002667242,0.002728858],"category_scores_gemma":[0.03858221,0.0009701567,0.002441729,0.00149941,0.00609353,0.01288312,0.003624043,0.007747021,0.001137771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00147035,"about_ca_system_score_gemma":0.001053728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002290054,"about_ca_topic_score_gemma":0.002330072,"domain_scores_codex":[0.9936109,0.002029145,0.0004800567,0.001670385,0.00167239,0.0005371255],"domain_scores_gemma":[0.9772794,0.01413137,0.001694004,0.004758717,0.001610408,0.0005260189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009683242,0.00004654994,0.002658566,0.0002849114,0.0001898232,0.0002861862,0.0005608038,0.1993988,0.001367663,0.7010711,0.004474253,0.08956454],"study_design_scores_gemma":[0.00001714882,0.00003416729,0.0003870864,0.00005379238,0.0000217178,0.0001261309,0.00004010165,0.2047199,0.0002349557,0.7904987,0.003844163,0.00002210757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02954116,0.001607697,0.9585422,0.002347635,0.0002113182,0.0000746193,0.0002340481,0.0005256027,0.006915763],"genre_scores_gemma":[0.7055092,0.004360326,0.2749266,0.003285685,0.001105735,0.0005571026,0.0009703615,0.0006845059,0.008600608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008943257,"threshold_uncertainty_score":0.04729706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03635067146760383,"score_gpt":0.3192401414954662,"score_spread":0.2828894700278624,"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."}}