{"uid":"cap_lfoAQV53bwhekp2gz-9vG","slug":"review-aspect-fixed-holdout-learning-curve-d69badbe","name":"Review Aspect Fixed-Holdout Learning Curve","description":"Review aspect - Fixed-holdout learning curve: Fixed-holdout learning curve 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 fixed-holdout learning curve deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-review-aspect-learning-curve?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_GdfHee9zEEQi-nGK9nWN4","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":"Generates a fixed-holdout learning curve for a naive-Bayes review aspect classifier (performance/appearance/value/other) from up to 200 labelled text records.","exampleAgentPrompt":"I have 150 labelled product reviews tagged as performance, appearance, value, or other — can you run a fixed-holdout learning curve on them so I can see how a naive-Bayes classifier's accuracy improves as training data grows?","exampleUseCases":[{"title":"Assess classifier readiness before labelling more data","prompt":"I've labelled 80 customer reviews with aspect tags — performance, appearance, value, or other — and I want to know if I need more labels. Can you run a fixed-holdout learning curve on them to show how the naive-Bayes accuracy changes as I add more training examples?"},{"title":"Compare review aspect classification effort vs accuracy","prompt":"We're building a review aspect tagger and need to decide how much labelling budget to spend. I have 120 labelled reviews split across performance, appearance, value, and other — please generate a learning curve with a fixed holdout so we can see where accuracy plateaus."},{"title":"Validate dataset quality for a product review pipeline","prompt":"Before we invest in a bigger model, can you run a fixed-holdout learning curve on these 200 product review records labelled with performance, appearance, value, or other categories? I want to see the baseline naive-Bayes trajectory and check whether the dataset is learnable."}],"resultDescription":"A fixed-holdout learning curve report showing how naive-Bayes classification accuracy on the review aspect categories (performance, appearance, value, other) changes as the number of training records increases, evaluated against a held-out portion of the supplied labelled dataset.","failureModes":["Fewer than 2 records supplied — minimum input not met","Records missing required fields (id, text, actual) — validation error","Enum value for 'actual' outside allowed set (performance/appearance/value/other) — rejected","More than 200 records supplied — exceeds maxItems limit","Insufficient class diversity to compute a meaningful learning curve","Payment not processed — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 labelled review text records tagged with aspect categories (performance, appearance, value, other) and need a quick, cheap learning curve evaluation using a naive-Bayes baseline with a fixed holdout split — without needing a hosted model or foundation-model training. Ideal for early-stage dataset assessment and labelling budget decisions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:32.338Z","isFirstParty":false,"canonicalSlug":"review-aspect-fixed-holdout-learning-curve-d69badbe"}