{"uid":"cap_fQ8kFpK6shbxJv1Jmz8XV","slug":"training-question-grouped-three-fold-baseline-evaluation-087d0bb6","name":"Training Question Grouped Three-Fold Baseline Evaluation","description":"Training question - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Training question. 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-training-question-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":["concept","procedure","example","assessment"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"concept sample document number 0 for this supplied dataset.","actual":"concept"},{"id":"example-0-1","text":"concept sample document number 1 for this supplied dataset.","actual":"concept"},{"id":"example-0-2","text":"concept sample document number 2 for this supplied dataset.","actual":"concept"},{"id":"example-1-0","text":"procedure sample document number 0 for this supplied dataset.","actual":"procedure"},{"id":"example-1-1","text":"procedure sample document number 1 for this supplied dataset.","actual":"procedure"},{"id":"example-1-2","text":"procedure sample document number 2 for this supplied dataset.","actual":"procedure"},{"id":"example-2-0","text":"example sample document number 0 for this supplied dataset.","actual":"example"},{"id":"example-2-1","text":"example sample document number 1 for this supplied dataset.","actual":"example"},{"id":"example-2-2","text":"example sample document number 2 for this supplied dataset.","actual":"example"},{"id":"example-3-0","text":"assessment sample document number 0 for this supplied dataset.","actual":"assessment"},{"id":"example-3-1","text":"assessment sample document number 1 for this supplied dataset.","actual":"assessment"},{"id":"example-3-2","text":"assessment sample document number 2 for this supplied dataset.","actual":"assessment"}],"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_s33szszQjCJpx19gvxsex","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 cross-validation baseline evaluation on up to 200 labelled training question text records using a naive-Bayes classifier.","exampleAgentPrompt":"Run a grouped three-fold baseline evaluation on my labelled training question records — I have 24 records split across concept, procedure, example, and assessment categories, and I want to see how well a naive-Bayes classifier performs on them.","exampleUseCases":[{"title":"Baseline check before model training","prompt":"I've got 150 labelled training question texts — roughly 40 concepts, 35 procedures, 40 examples, and 35 assessments. Can you run a grouped three-fold cross-validation baseline on them so I know if my labels are learnable before I invest in a real model?"},{"title":"Dataset quality validation for e-learning platform","prompt":"We're building an educational content tagger and want to check whether our hand-labelled dataset of 80 training question texts holds up under cross-validation — can you run the grouped three-fold naive-Bayes baseline evaluation and tell me the accuracy?"},{"title":"Comparing label consistency across content types","prompt":"I have 60 training question records labelled as concept, procedure, example, or assessment and I'm worried some categories are mislabelled. Can you run the grouped three-fold baseline evaluation to see where the classifier struggles most?"}],"resultDescription":"A bounded grouped three-fold baseline evaluation deliverable including cross-validation accuracy and per-fold classification metrics for the supplied labelled text records across the concept, procedure, example, and assessment categories using a naive-Bayes classifier. No hosted model is trained or retained.","failureModes":["Fewer than 2 records supplied — minimum input not met","More than 200 records supplied — exceeds maxItems limit","Records missing required fields (id, text, actual) — validation error","Invalid 'actual' label value outside the allowed enum — schema rejection","Text records exceeding 1000 characters each — field length violation","Insufficient class representation per fold for meaningful grouped cross-validation"],"whenToPreferThis":"Choose this endpoint when you need a fast, cheap ($0.01) local baseline evaluation for a small labelled text dataset (up to 200 records) classified into training question types (concept, procedure, example, assessment) without needing a hosted model or foundation model. Ideal for sanity-checking label quality, measuring dataset learnability, or generating a naive-Bayes benchmark before committing to larger model training pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T06:50:39.749Z","isFirstParty":false,"canonicalSlug":"training-question-grouped-three-fold-baseline-evaluation-087d0bb6"}