{"uid":"cap_LTLXyiJ6fTCaxiiLKlNrO","slug":"release-change-fixed-holdout-learning-curve-c070bb9b","name":"Release Change Fixed-Holdout Learning Curve","description":"Release change - Fixed-holdout learning curve: Fixed-holdout learning curve for Release change. 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-release-change-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":["feature","fix","documentation","maintenance"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"feature sample document number 0 for this supplied dataset.","actual":"feature"},{"id":"example-0-1","text":"feature sample document number 1 for this supplied dataset.","actual":"feature"},{"id":"example-0-2","text":"feature sample document number 2 for this supplied dataset.","actual":"feature"},{"id":"example-1-0","text":"fix sample document number 0 for this supplied dataset.","actual":"fix"},{"id":"example-1-1","text":"fix sample document number 1 for this supplied dataset.","actual":"fix"},{"id":"example-1-2","text":"fix sample document number 2 for this supplied dataset.","actual":"fix"},{"id":"example-2-0","text":"documentation sample document number 0 for this supplied dataset.","actual":"documentation"},{"id":"example-2-1","text":"documentation sample document number 1 for this supplied dataset.","actual":"documentation"},{"id":"example-2-2","text":"documentation sample document number 2 for this supplied dataset.","actual":"documentation"},{"id":"example-3-0","text":"maintenance sample document number 0 for this supplied dataset.","actual":"maintenance"},{"id":"example-3-1","text":"maintenance sample document number 1 for this supplied dataset.","actual":"maintenance"},{"id":"example-3-2","text":"maintenance sample document number 2 for this supplied dataset.","actual":"maintenance"}],"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_oAb1EeHtnT2bciqD0PWvZ","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 dataset of release change text records (feature, fix, documentation, maintenance) using a local naive-Bayes classifier.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my release change dataset — I have 80 labelled records split across feature, fix, documentation, and maintenance categories, and I want to see how the naive-Bayes baseline accuracy changes as training size grows.","exampleUseCases":[{"title":"Benchmarking changelog classifier data needs","prompt":"I have 150 labelled changelog entries tagged as feature, fix, documentation, or maintenance — can you run a fixed-holdout learning curve so I can see how many labelled examples I actually need before accuracy plateaus?"},{"title":"Evaluating release note triage model","prompt":"We're building a tool to auto-triage release notes into feature, fix, documentation, and maintenance buckets. Can you run a learning curve on our 120 labelled samples so we know whether our current dataset size is sufficient?"},{"title":"Comparing baseline performance across data volumes","prompt":"Before investing in a bigger labelling effort, I want to know how a naive-Bayes model performs on 60 of our release change records as training size increases — can you generate the fixed-holdout learning curve for me?"}],"resultDescription":"A fixed-holdout learning curve report showing how naive-Bayes classification performance (e.g. accuracy or F1) on the held-out portion of the supplied labelled records varies as the training set size increases, computed entirely locally without any hosted or foundation model.","failureModes":["Fewer than 2 records supplied — minimum input not met","Records missing required fields (id, text, actual) — validation error","More than 200 records supplied — exceeds maximum limit","Invalid label value outside allowed enum (feature, fix, documentation, maintenance)","Insufficient class diversity in records to form a meaningful holdout split","Payment of 0.01 USDC not completed — request rejected"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap learning curve analysis on a small labelled release change dataset (up to 200 records) using a transparent naive-Bayes baseline, without sending data to a hosted or foundation model. Ideal for gauging how much more labelled data is needed before investing in heavier ML infrastructure, or for auditable offline-style evaluation within an agentic pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:48:00.069Z","isFirstParty":false,"canonicalSlug":"release-change-fixed-holdout-learning-curve-c070bb9b"}