{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:H3Y4L65L6WIJKZOSIOR4KTOI2C","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":"a31e96e751e0785202bbdf4037b256dbf296fc495c8e8d99ba412f7cf69eb161","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-07-04T16:19:55Z","title_canon_sha256":"8087701ea90d25e93d4033ed9ba6bcf6eeb8f081f0c5f541ef9b06710f9528b8"},"schema_version":"1.0","source":{"id":"1207.1403","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1207.1403","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"arxiv_version","alias_value":"1207.1403v1","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1207.1403","created_at":"2026-05-18T03:51:37Z"},{"alias_kind":"pith_short_12","alias_value":"H3Y4L65L6WIJ","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"H3Y4L65L6WIJKZOS","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"H3Y4L65L","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:5a3d17a4edb80a169bfd2007d0a517cc587f36e7fa46d006589b2df7e42c9f7c","target":"graph","created_at":"2026-05-18T03:51:37Z","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":"Boosted decision trees typically yield good accuracy, precision, and ROC area. However, because the outputs from boosting are not well calibrated posterior probabilities, boosting yields poor squared error and cross-entropy. We empirically demonstrate why AdaBoost predicts distorted probabilities and examine three calibration methods for correcting this distortion: Platt Scaling, Isotonic Regression, and Logistic Correction. We also experiment with boosting using log-loss instead of the usual exponential loss. Experiments show that Logistic Correction and boosting with log-loss work well when ","authors_text":"Alexandru Niculescu-Mizil, Richard A. Caruana","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-07-04T16:19:55Z","title":"Obtaining Calibrated Probabilities from Boosting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1207.1403","kind":"arxiv","version":1},"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":"sha256:335cdef27f647def68d1449b8deb2c3ae57c599bb90e87c6c8479e8a812fb5a8","target":"record","created_at":"2026-05-18T03:51:37Z","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":"a31e96e751e0785202bbdf4037b256dbf296fc495c8e8d99ba412f7cf69eb161","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-07-04T16:19:55Z","title_canon_sha256":"8087701ea90d25e93d4033ed9ba6bcf6eeb8f081f0c5f541ef9b06710f9528b8"},"schema_version":"1.0","source":{"id":"1207.1403","kind":"arxiv","version":1}},"canonical_sha256":"3ef1c5fbabf5909565d243a3c54dc8d0b3e6a29e5bb7f4bc06df3b8701a0aae3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ef1c5fbabf5909565d243a3c54dc8d0b3e6a29e5bb7f4bc06df3b8701a0aae3","first_computed_at":"2026-05-18T03:51:37.281142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:51:37.281142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Hm12i9gmy1YDnvM6G/3Rf6yAlfokojnkn2/WblswKl7gxI6dQDlt18pbXdYjlABVHgOMjWyoQjGpPn12r40oCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:51:37.282015Z","signed_message":"canonical_sha256_bytes"},"source_id":"1207.1403","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:335cdef27f647def68d1449b8deb2c3ae57c599bb90e87c6c8479e8a812fb5a8","sha256:5a3d17a4edb80a169bfd2007d0a517cc587f36e7fa46d006589b2df7e42c9f7c"],"state_sha256":"1a7e181cdeeff0d9d54c45e960512107725d6ef3227923a0d9920a4ce2a4f83e"}