{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/precision-and-recall-for-time-series","title":"Precision and Recall for Time Series","arxiv_id":"1803.03639","date":"2018-03-08","proceeding":"NeurIPS 2018 12","authors":["Nesime Tatbul","Tae Jun Lee","Stan Zdonik","Mejbah Alam","Justin Gottschlich"],"abstract":"Classical anomaly detection is principally concerned with point-based\nanomalies, those anomalies that occur at a single point in time. Yet, many\nreal-world anomalies are range-based, meaning they occur over a period of time.\nMotivated by this observation, we present a new mathematical model to evaluate\nthe accuracy of time series classification algorithms. Our model expands the\nwell-known Precision and Recall metrics to measure ranges, while simultaneously\nenabling customization support for domain-specific preferences.","url_abs":"http://arxiv.org/abs/1803.03639v3","url_pdf":"http://arxiv.org/pdf/1803.03639v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"precision-and-recall-for-time-series","repo_url":"https://github.com/IntelLabs/TSAD-Evaluator","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"precision-and-recall-for-time-series","repo_url":"https://github.com/KurochkinAlexey/TSPrecisionRecall","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}},{"paper_slug":"precision-and-recall-for-time-series","repo_url":"https://github.com/alacrity2001/PTSA-public-","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"gone","observed_at":"2026-09-18","how":"tree_404+repo_404"}},{"paper_slug":"precision-and-recall-for-time-series","repo_url":"https://github.com/CompML/PRTS","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"Apache-2.0"}}],"tasks":[{"task_slug":"anomaly-detection","task_name":"Anomaly Detection"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"time-series-1","task_name":"Time Series"},{"task_slug":"time-series","task_name":"Time Series Analysis"},{"task_slug":"time-series-classification","task_name":"Time Series Classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1803.03639","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}