{"doi":"10.1109/vis54862.2022.00021","title":"TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization","abstract":"Given thousands of equally accurate machine learning (ML) models, how can users choose among them? A recent ML technique enables domain experts and data scientists to generate a complete Rashomon set for sparse decision trees-a huge set of almost-optimal inter-pretable ML models. To help ML practitioners identify models with desirable properties from this Rashomon set, we develop Tim-bertrek, the first interactive visualization system that summarizes thousands of sparse decision trees at scale. Two usage scenarios high-light how Timbertrek can empower users to easily explore, compare, and curate models that align with their domain knowledge and values. Our open-source tool runs directly in users' computational notebooks and web browsers, lowering the barrier to creating more responsible ML models. Timbertrek is available at the following public demo link: https: //poloclub. github. io/timbertrek.","journal":null,"year":2022,"id":296675,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":22,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.955,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":983986,"name":"Chudi Zhong","orcid":null,"position":1,"is_corresponding":false},{"id":983571,"name":"Rui Xin","orcid":"0000-0002-0224-3431","position":2,"is_corresponding":false},{"id":983572,"name":"T. Takagi","orcid":"0000-0002-5788-130X","position":3,"is_corresponding":false},{"id":983573,"name":"Zhi Chen","orcid":"0000-0003-1993-5749","position":4,"is_corresponding":false},{"id":713943,"name":"Duen Horng Chau","orcid":"0000-0001-9824-3323","position":5,"is_corresponding":false},{"id":95960,"name":"Cynthia Rudin","orcid":"0000-0003-4283-2780","position":6,"is_corresponding":false},{"id":983574,"name":"Margo Seltzer","orcid":"0000-0002-2165-4658","position":7,"is_corresponding":false},{"id":983570,"name":"Zijie J. Wang","orcid":"0000-0003-4360-1423","position":0,"is_corresponding":true}],"reference_count":57,"raw_metadata":null,"created_at":"2026-07-19T00:31:16.555318Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}