{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2EAV6D7Z6NMRTQIC7H2R7L4ACS","short_pith_number":"pith:2EAV6D7Z","schema_version":"1.0","canonical_sha256":"d1015f0ff9f35919c102f9f51faf8014bf236401081312dd91eda51081232184","source":{"kind":"arxiv","id":"1802.03567","version":2},"attestation_state":"computed","paper":{"title":"Crit\\`eres de qualit\\'e d'un classifieur g\\'en\\'eraliste","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Gilles R. Ducharme","submitted_at":"2018-02-10T11:25:27Z","abstract_excerpt":"This paper considers the problem of choosing a good classifier. For each problem there exist an optimal classifier, but none are optimal, regarding the error rate, in all cases. Because there exists a large number of classifiers, a user would rather prefer an all-purpose classifier that is easy to adjust, in the hope that it will do almost as good as the optimal. In this paper we establish a list of criteria that a good generalist classifier should satisfy . We first discuss data analytic, these criteria are presented. Six among the most popular classifiers are selected and scored according to"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1802.03567","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-02-10T11:25:27Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e2168953359cb874f81b2c178dfe53ebc9d824180f84895bdfa57741448a9e29","abstract_canon_sha256":"0e77d76d890932ac89dacab6b435eda458eef138f3f93fc6e80890ce4addcb53"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:00.335191Z","signature_b64":"z0SpabpSszJqJa2BdPUNstv23ymL1+5ujfs3Nqv9ZEwmgJw15gygLUwaQngVChgmku86C6PNRGdpceLSUGqQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d1015f0ff9f35919c102f9f51faf8014bf236401081312dd91eda51081232184","last_reissued_at":"2026-05-18T00:14:00.334531Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:00.334531Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Crit\\`eres de qualit\\'e d'un classifieur g\\'en\\'eraliste","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Gilles R. Ducharme","submitted_at":"2018-02-10T11:25:27Z","abstract_excerpt":"This paper considers the problem of choosing a good classifier. For each problem there exist an optimal classifier, but none are optimal, regarding the error rate, in all cases. Because there exists a large number of classifiers, a user would rather prefer an all-purpose classifier that is easy to adjust, in the hope that it will do almost as good as the optimal. In this paper we establish a list of criteria that a good generalist classifier should satisfy . We first discuss data analytic, these criteria are presented. Six among the most popular classifiers are selected and scored according to"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1802.03567","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1802.03567","created_at":"2026-05-18T00:14:00.334633+00:00"},{"alias_kind":"arxiv_version","alias_value":"1802.03567v2","created_at":"2026-05-18T00:14:00.334633+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1802.03567","created_at":"2026-05-18T00:14:00.334633+00:00"},{"alias_kind":"pith_short_12","alias_value":"2EAV6D7Z6NMR","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_16","alias_value":"2EAV6D7Z6NMRTQIC","created_at":"2026-05-18T12:31:59.375834+00:00"},{"alias_kind":"pith_short_8","alias_value":"2EAV6D7Z","created_at":"2026-05-18T12:31:59.375834+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS","json":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS.json","graph_json":"https://pith.science/api/pith-number/2EAV6D7Z6NMRTQIC7H2R7L4ACS/graph.json","events_json":"https://pith.science/api/pith-number/2EAV6D7Z6NMRTQIC7H2R7L4ACS/events.json","paper":"https://pith.science/paper/2EAV6D7Z"},"agent_actions":{"view_html":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS","download_json":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS.json","view_paper":"https://pith.science/paper/2EAV6D7Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1802.03567&json=true","fetch_graph":"https://pith.science/api/pith-number/2EAV6D7Z6NMRTQIC7H2R7L4ACS/graph.json","fetch_events":"https://pith.science/api/pith-number/2EAV6D7Z6NMRTQIC7H2R7L4ACS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS/action/storage_attestation","attest_author":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS/action/author_attestation","sign_citation":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS/action/citation_signature","submit_replication":"https://pith.science/pith/2EAV6D7Z6NMRTQIC7H2R7L4ACS/action/replication_record"}},"created_at":"2026-05-18T00:14:00.334633+00:00","updated_at":"2026-05-18T00:14:00.334633+00:00"}