{"uid":"cap_UA_u3fV2tsIVpvrqWZXc-","slug":"cancellation-reason-fixed-holdout-learning-curve-d88bb226","name":"Cancellation Reason Fixed-Holdout Learning Curve","description":"Cancellation reason - Fixed-holdout learning curve: Fixed-holdout learning curve for Cancellation reason. 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-cancellation-reason-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":["price","usage","quality","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"price sample document number 0 for this supplied dataset.","actual":"price"},{"id":"example-0-1","text":"price sample document number 1 for this supplied dataset.","actual":"price"},{"id":"example-0-2","text":"price sample document number 2 for this supplied dataset.","actual":"price"},{"id":"example-1-0","text":"usage sample document number 0 for this supplied dataset.","actual":"usage"},{"id":"example-1-1","text":"usage sample document number 1 for this supplied dataset.","actual":"usage"},{"id":"example-1-2","text":"usage sample document number 2 for this supplied dataset.","actual":"usage"},{"id":"example-2-0","text":"quality sample document number 0 for this supplied dataset.","actual":"quality"},{"id":"example-2-1","text":"quality sample document number 1 for this supplied dataset.","actual":"quality"},{"id":"example-2-2","text":"quality sample document number 2 for this supplied dataset.","actual":"quality"},{"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_cyJYPdmQHVQ0736qfey97","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 labelled cancellation-reason text dataset using a naive-Bayes classifier, showing how accuracy scales with training set size.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my cancellation reason dataset — I have about 80 labelled records split across price, usage, quality, and other categories, and I want to see how the naive-Bayes accuracy changes as the training set grows.","exampleUseCases":[{"title":"Churn reason classifier data sufficiency check","prompt":"I have 150 customer cancellation survey responses labelled as price, usage, quality, or other — can you run a fixed-holdout learning curve to tell me whether I have enough data for a reliable classifier?"},{"title":"Baseline accuracy benchmark for product team","prompt":"Run a naive-Bayes learning curve on these 120 cancellation reason texts labelled price, usage, quality, and other so I can show the product team what baseline accuracy looks like before we invest in a bigger model."},{"title":"Diagnosing underfitting in cancellation classification","prompt":"I only have 40 labelled cancellation records across price, usage, quality, and other — can you compute a fixed-holdout learning curve to see if the model is underfitting due to limited data?"}],"resultDescription":"Returns a fixed-holdout learning curve report showing classifier accuracy (and related metrics) at successive training set sizes using a naive-Bayes baseline, evaluated against a held-out portion of the supplied labelled records. No hosted model is trained; results are local and bounded to the submitted dataset.","failureModes":["Fewer than 2 records supplied — minimum record count not met","Record text exceeds 1000 characters — field length violation","Invalid 'actual' label value outside enum (price/usage/quality/other)","More than 200 records submitted — exceeds maxItems limit","Missing required fields (id, text, actual) on any record","Payment of 0.01 USDC not completed — x402 payment required","Insufficient class diversity to compute meaningful learning curve"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01) learning curve diagnostic for a small cancellation-reason text dataset (up to 200 records) using a naive-Bayes baseline, without needing a hosted model or access to a foundation model. Ideal for feasibility checks, data-sufficiency analysis, and benchmarking before committing to a larger ML pipeline. Not suitable for production model training or datasets exceeding 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:17:05.947Z","isFirstParty":false,"canonicalSlug":"cancellation-reason-fixed-holdout-learning-curve-d88bb226"}