{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:VKO7X66EJYVKMOVUBDOMVB4RXM","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4739c36f947b22efc23393bf51b29b1a2fa80fb719c44bfc61359a39f92daf18","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-02-08T21:14:29Z","title_canon_sha256":"01f5e6e6ccd6bbfc2179b975107899cfda10d9c706bc7602c47c98e33f985d31"},"schema_version":"1.0","source":{"id":"1402.1892","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1402.1892","created_at":"2026-05-18T02:51:56Z"},{"alias_kind":"arxiv_version","alias_value":"1402.1892v2","created_at":"2026-05-18T02:51:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1402.1892","created_at":"2026-05-18T02:51:56Z"},{"alias_kind":"pith_short_12","alias_value":"VKO7X66EJYVK","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"VKO7X66EJYVKMOVU","created_at":"2026-05-18T12:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"VKO7X66E","created_at":"2026-05-18T12:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:bf86b28c1411c854aaa579638e99754bc0c1d5055c1287266ece7f22fa233312","target":"graph","created_at":"2026-05-18T02:51:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"This paper provides new insight into maximizing F1 scores in the context of binary classification and also in the context of multilabel classification. The harmonic mean of precision and recall, F1 score is widely used to measure the success of a binary classifier when one class is rare. Micro average, macro average, and per instance average F1 scores are used in multilabel classification. For any classifier that produces a real-valued output, we derive the relationship between the best achievable F1 score and the decision-making threshold that achieves this optimum. As a special case, if the ","authors_text":"Balakrishnan Narayanaswamy, Charles Elkan, Zachary Chase Lipton","cross_cats":["cs.IR","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-02-08T21:14:29Z","title":"Thresholding Classifiers to Maximize F1 Score"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1402.1892","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:0700d574ae6df952ac44f55be626b46aca9d1a46267f81e0186a36bbff7494a3","target":"record","created_at":"2026-05-18T02:51:56Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4739c36f947b22efc23393bf51b29b1a2fa80fb719c44bfc61359a39f92daf18","cross_cats_sorted":["cs.IR","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2014-02-08T21:14:29Z","title_canon_sha256":"01f5e6e6ccd6bbfc2179b975107899cfda10d9c706bc7602c47c98e33f985d31"},"schema_version":"1.0","source":{"id":"1402.1892","kind":"arxiv","version":2}},"canonical_sha256":"aa9dfbfbc44e2aa63ab408dcca8791bb38eccae38fdaa50227ff8febdfad29bc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aa9dfbfbc44e2aa63ab408dcca8791bb38eccae38fdaa50227ff8febdfad29bc","first_computed_at":"2026-05-18T02:51:56.676581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:51:56.676581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+VIx5J7Yig0VR7JmFwzN0H1yretJtXGbrNWCSXEvk1M2n6of3OqNYNrOpAofVE7EfZK/fx52FoBaVYvqJ6zPDw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:51:56.677067Z","signed_message":"canonical_sha256_bytes"},"source_id":"1402.1892","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0700d574ae6df952ac44f55be626b46aca9d1a46267f81e0186a36bbff7494a3","sha256:bf86b28c1411c854aaa579638e99754bc0c1d5055c1287266ece7f22fa233312"],"state_sha256":"8db20352db85a0f654dd93db4c83938210d54a1dcc310d9f4047d800520f610f"}