{"uid":"cap_Mq0CWxgRMFqUVDkkhnoCK","slug":"meeting-topic-grouped-three-fold-cross-validation-4570ca1c","name":"Meeting Topic Grouped Three-Fold Cross-Validation","description":"Meeting topic - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Meeting topic. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded grouped three-fold baseline evaluation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-meeting-topic-cross-validation?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["planning","progress","decision","review"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"planning sample document number 0 for this supplied dataset.","actual":"planning"},{"id":"example-0-1","text":"planning sample document number 1 for this supplied dataset.","actual":"planning"},{"id":"example-0-2","text":"planning sample document number 2 for this supplied dataset.","actual":"planning"},{"id":"example-1-0","text":"progress sample document number 0 for this supplied dataset.","actual":"progress"},{"id":"example-1-1","text":"progress sample document number 1 for this supplied dataset.","actual":"progress"},{"id":"example-1-2","text":"progress sample document number 2 for this supplied dataset.","actual":"progress"},{"id":"example-2-0","text":"decision sample document number 0 for this supplied dataset.","actual":"decision"},{"id":"example-2-1","text":"decision sample document number 1 for this supplied dataset.","actual":"decision"},{"id":"example-2-2","text":"decision sample document number 2 for this supplied dataset.","actual":"decision"},{"id":"example-3-0","text":"review sample document number 0 for this supplied dataset.","actual":"review"},{"id":"example-3-1","text":"review sample document number 1 for this supplied dataset.","actual":"review"},{"id":"example-3-2","text":"review sample document number 2 for this supplied dataset.","actual":"review"}],"maxItems":200,"minItems":2}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_phG1SDTHe5nOlLaMiZGP8","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Runs a grouped three-fold baseline cross-validation on up to 200 labelled meeting-topic text records using a naive-Bayes classifier to estimate classification accuracy.","exampleAgentPrompt":"Run a grouped three-fold baseline cross-validation on these 48 labelled meeting transcript snippets — each tagged as planning, progress, decision, or review — and tell me what accuracy the naive-Bayes model gets across the folds.","exampleUseCases":[{"title":"Pre-training label quality check","prompt":"I've got 150 labelled meeting notes — each one marked as planning, progress, decision, or review — and I want to know if the labels are clean enough to train on. Can you run a grouped three-fold baseline evaluation and tell me the cross-validation accuracy?"},{"title":"Comparing topic separability across teams","prompt":"Here are 120 meeting excerpts from our engineering team labelled as planning, progress, decision, or review. Run the grouped three-fold naive-Bayes baseline on them so I can see how distinguishable these topics are before I invest in a heavier model."},{"title":"Benchmarking a new annotation scheme","prompt":"We just re-annotated 80 meeting summaries with four categories — planning, progress, decision, and review — using a new rubric. Can you run the grouped three-fold cross-validation baseline to see if the new scheme scores better than our old 61% accuracy?"}],"resultDescription":"A cross-validation report containing the grouped three-fold evaluation results for the supplied labelled meeting-topic records, including per-fold accuracy, overall accuracy, and baseline naive-Bayes performance metrics across the four categories (planning, progress, decision, review).","failureModes":["Fewer than 2 records supplied — returns validation error","Records missing required fields (id, text, actual) — returns schema error","More than 200 records supplied — request rejected with maxItems error","Invalid category value in 'actual' field (not one of planning/progress/decision/review) — enum validation failure","Insufficient class representation for folding — may return degenerate or unreliable fold results","Payment not settled via x402 protocol — returns 402 Payment Required"],"whenToPreferThis":"Choose this endpoint when you have a small labelled dataset of meeting-topic text (up to 200 records) and want a quick, cheap baseline accuracy estimate using local naive-Bayes cross-validation before committing to fine-tuning a larger model. It is ideal for label quality audits, annotation sanity checks, and establishing a performance floor. Prefer alternatives if you need a hosted model, foundation-model fine-tuning, inference on unlabelled data, or datasets larger than 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:33.951Z","isFirstParty":false,"canonicalSlug":"meeting-topic-grouped-three-fold-cross-validation-4570ca1c"}