{"uid":"cap_S97ZdsAU0Oll42BaxX_4Z","slug":"review-aspect-grouped-three-fold-baseline-evaluation-797c271d","name":"Review Aspect Grouped Three-Fold Baseline Evaluation","description":"Review aspect - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation for Review aspect. 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-review-aspect-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":["performance","appearance","value","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"performance sample document number 0 for this supplied dataset.","actual":"performance"},{"id":"example-0-1","text":"performance sample document number 1 for this supplied dataset.","actual":"performance"},{"id":"example-0-2","text":"performance sample document number 2 for this supplied dataset.","actual":"performance"},{"id":"example-1-0","text":"appearance sample document number 0 for this supplied dataset.","actual":"appearance"},{"id":"example-1-1","text":"appearance sample document number 1 for this supplied dataset.","actual":"appearance"},{"id":"example-1-2","text":"appearance sample document number 2 for this supplied dataset.","actual":"appearance"},{"id":"example-2-0","text":"value sample document number 0 for this supplied dataset.","actual":"value"},{"id":"example-2-1","text":"value sample document number 1 for this supplied dataset.","actual":"value"},{"id":"example-2-2","text":"value sample document number 2 for this supplied dataset.","actual":"value"},{"id":"example-3-0","text":"other sample document number 0 for this supplied dataset.","actual":"other"},{"id":"example-3-1","text":"other sample document number 1 for this supplied dataset.","actual":"other"},{"id":"example-3-2","text":"other sample document number 2 for this supplied dataset.","actual":"other"}],"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_PitoYlEPo3NjE-M5CRnI-","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 using a naive-Bayes classifier on up to 200 labelled review-aspect text records (performance, appearance, value, other) and returns baseline evaluation metrics.","exampleAgentPrompt":"Can you run a grouped three-fold baseline cross-validation on my labelled review dataset? I have 12 records covering performance, appearance, value, and other aspects — here they are with their IDs and labels.","exampleUseCases":[{"title":"Baseline check before model training","prompt":"Before I invest in training a proper model, can you run a naive-Bayes three-fold cross-validation on these 60 labelled product reviews to see if the categories — performance, appearance, value, and other — are separable at all?"},{"title":"QA on a newly labelled review dataset","prompt":"I just finished labelling 150 customer reviews by aspect (performance, appearance, value, other). Can you run a grouped three-fold baseline evaluation on them so I can see how consistent the labels are and what accuracy a simple classifier gets?"},{"title":"Comparing aspect labelling across two annotators","prompt":"I have 80 review texts labelled by aspect — performance, appearance, value, and other. Run the grouped three-fold baseline evaluation on them and tell me the accuracy and any fold-level breakdowns so I can spot where the labels are noisy."}],"resultDescription":"Returns grouped three-fold cross-validation results from a naive-Bayes baseline model trained on the supplied labelled records, including per-fold and aggregate accuracy or classification metrics across the four review-aspect classes (performance, appearance, value, other). No hosted model is created; output is a one-time bounded evaluation deliverable.","failureModes":["Fewer than 2 records supplied — minimum input requirement not met","Records missing required fields (id, text, actual) — schema validation failure","Text field exceeds 1000 characters per record — truncation or rejection","More than 200 records supplied — exceeds maximum item limit","Invalid enum value in 'actual' field (must be performance, appearance, value, or other)","Insufficient class representation across folds for meaningful cross-validation — may produce degenerate metrics","Payment failure via x402 protocol — endpoint returns 402 without processing"],"whenToPreferThis":"Choose this endpoint when you have a small labelled dataset (up to 200 records) of review-aspect text and need a quick, cheap ($0.01) baseline evaluation using grouped three-fold cross-validation with a naive-Bayes model. Ideal for validating label quality, sanity-checking class separability, or establishing a baseline before investing in larger model training. Not suitable if you need a hosted model, deep-learning embeddings, or evaluation on more than 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:51:10.375Z","isFirstParty":false,"canonicalSlug":"review-aspect-grouped-three-fold-baseline-evaluation-797c271d"}