{"uid":"cap_7kM2LIXby-1zITDzEvWdS","slug":"knowledge-topic-fixed-holdout-learning-curve-99ea197c","name":"Knowledge Topic Fixed-Holdout Learning Curve","description":"Knowledge topic - Fixed-holdout learning curve: Fixed-holdout learning curve for Knowledge topic. 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-knowledge-topic-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":["setup","usage","troubleshooting","reference"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"setup sample document number 0 for this supplied dataset.","actual":"setup"},{"id":"example-0-1","text":"setup sample document number 1 for this supplied dataset.","actual":"setup"},{"id":"example-0-2","text":"setup sample document number 2 for this supplied dataset.","actual":"setup"},{"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":"troubleshooting sample document number 0 for this supplied dataset.","actual":"troubleshooting"},{"id":"example-2-1","text":"troubleshooting sample document number 1 for this supplied dataset.","actual":"troubleshooting"},{"id":"example-2-2","text":"troubleshooting sample document number 2 for this supplied dataset.","actual":"troubleshooting"},{"id":"example-3-0","text":"reference sample document number 0 for this supplied dataset.","actual":"reference"},{"id":"example-3-1","text":"reference sample document number 1 for this supplied dataset.","actual":"reference"},{"id":"example-3-2","text":"reference sample document number 2 for this supplied dataset.","actual":"reference"}],"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_q_BGbTJGbwYYD5QzDVq2I","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":"Computes a fixed-holdout learning curve for a knowledge-topic text classifier (setup/usage/troubleshooting/reference) using a naive-Bayes baseline on up to 200 labelled records.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my 120 labelled knowledge-base articles — each record has an id, the article text, and a topic label (setup, usage, troubleshooting, or reference) — so I can see how classifier accuracy changes with training size.","exampleUseCases":[{"title":"Evaluate documentation classifier dataset adequacy","prompt":"I have 150 labelled support docs tagged as setup, usage, troubleshooting, or reference. Can you run a fixed-holdout learning curve on them so I can see whether collecting more training data would meaningfully improve classification accuracy?"},{"title":"Benchmark knowledge base topic model before deployment","prompt":"Before we go live with our knowledge-base topic classifier, can you compute a learning curve using these 200 labelled articles — each with an id, text up to 1000 characters, and one of the four topic labels — to see how the naive-Bayes baseline performs across training sizes?"},{"title":"Diagnose low-accuracy knowledge topic classifier","prompt":"Our topic classifier for knowledge articles is performing poorly and I'm not sure if the problem is too little data or noisy labels. Can you run a fixed-holdout learning curve on my 80 labelled records (setup, usage, troubleshooting, reference) to help diagnose where accuracy stalls?"}],"resultDescription":"Returns a fixed-holdout learning curve report showing classifier accuracy (and related metrics) at incremental training set sizes, produced by a local naive-Bayes baseline model evaluated on a held-out split of the supplied labelled text records. No hosted or foundation model is involved.","failureModes":["Fewer than 2 records supplied — minimum input not met","Records missing required fields (id, text, actual) — schema validation error","More than 200 records submitted — exceeds maximum input limit","Label value outside allowed enum (setup/usage/troubleshooting/reference) — invalid label error","Too few examples per class for a meaningful holdout split — degenerate curve output","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 labelled text records across the four knowledge-topic categories (setup, usage, troubleshooting, reference) and want a lightweight, low-cost learning curve evaluation using a local naive-Bayes baseline — without needing to train or host a foundation model. Ideal for quickly diagnosing whether more labelled data is needed before investing in larger model training.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:53:01.984Z","isFirstParty":false,"canonicalSlug":"knowledge-topic-fixed-holdout-learning-curve-99ea197c"}