{"id":"W2102539288","doi":"10.1145/2487575.2487629","title":"Auto-WEKA","year":2013,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":1321,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hyperparameter; Machine learning; Computer science; MNIST database; Artificial intelligence; Hyperparameter optimization; Bayesian optimization; Classifier (UML); Feature selection; Data mining; Artificial neural network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00171496,0.002150835,0.001377062,0.002842343,0.0007363696,0.002812748,0.003716246,0.001187634,0.03907871],"category_scores_gemma":[0.00786593,0.001740336,0.00328384,0.002164066,0.0004775175,0.003324462,0.002034691,0.003189442,0.05152514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009149109,"about_ca_system_score_gemma":0.002259629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005561791,"about_ca_topic_score_gemma":0.007629293,"domain_scores_codex":[0.9982027,0.0003402189,0.0002557402,0.0005548175,0.0004723359,0.0001742808],"domain_scores_gemma":[0.9965238,0.001374025,0.0002310621,0.0009795949,0.0008113242,0.00008018479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007671122,0.0003887365,0.002996098,0.002393909,0.0009859578,0.0003622044,0.0004073048,0.03902,0.006297181,0.01963878,0.6539994,0.2727432],"study_design_scores_gemma":[0.0006501588,0.0001580991,0.003661982,0.0003922644,0.0004383406,0.000617261,0.0002353177,0.2439542,0.0171737,0.0502198,0.682175,0.0003237825],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00842645,0.00160789,0.3787124,0.0008377904,0.0004571459,0.00128067,0.03300551,0.547622,0.02805026],"genre_scores_gemma":[0.08808607,0.003082911,0.6862742,0.001558658,0.0001834944,0.004261015,0.1007922,0.07314222,0.04261926],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.03907871,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031152393134421,"score_gpt":0.2275537245930732,"score_spread":0.217242200661729,"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."}}