{"id":"W1483994939","doi":"10.1007/978-3-540-74958-5_15","title":"Decision Tree Instability and Active Learning","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision tree; Computer science; Stability (learning theory); Tree (set theory); Machine learning; Context (archaeology); Incremental decision tree; Active learning (machine learning); Artificial intelligence; Domain (mathematical analysis); ID3 algorithm; Instability; Decision tree learning; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001645625,0.0004677875,0.0004792243,0.0007958919,0.000404659,0.0004701007,0.001782785,0.0003164934,0.00001755365],"category_scores_gemma":[0.0003738414,0.0004091458,0.00009461839,0.0005567138,0.0006489796,0.0005358562,0.001627779,0.001775353,0.00002233856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002173136,"about_ca_system_score_gemma":0.0002605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004301511,"about_ca_topic_score_gemma":0.0001216531,"domain_scores_codex":[0.996309,0.00005473297,0.0004241846,0.001658983,0.0009503731,0.0006027702],"domain_scores_gemma":[0.997214,0.001249191,0.0002438719,0.0008910979,0.0001826318,0.0002191842],"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":[0.000007910422,0.00001263999,0.0002143642,0.0000123262,0.000003994362,0.00004593281,0.000644216,0.009342751,0.00001523861,0.003398461,0.000001576364,0.9863006],"study_design_scores_gemma":[0.0004031318,0.0003273786,0.003252157,0.0003343093,0.000006013031,0.0001086657,4.246429e-7,0.8750774,0.0003168366,0.1152539,0.004174947,0.0007448735],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001052127,0.0003132671,0.9891156,0.0002558937,0.001050445,0.0002065514,0.000001127306,0.0001948366,0.007810146],"genre_scores_gemma":[0.2278684,0.00007130153,0.7703118,0.0006529043,0.0004949307,0.000003438972,0.000003335326,0.00003834558,0.0005555669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9855557,"threshold_uncertainty_score":0.999836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01589490901043121,"score_gpt":0.2716418455757377,"score_spread":0.2557469365653065,"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."}}