{"uid":"cap_QktRU0NG6nk71o8bV481V","slug":"knowledge-topic-cross-validation-grouped-three-fold-baseline-evaluation-a70b856e","name":"Knowledge Topic Cross-Validation - Grouped Three-Fold Baseline Evaluation","description":"Knowledge topic - Grouped three-fold baseline evaluation: Grouped three-fold baseline evaluation 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 grouped three-fold baseline evaluation deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-knowledge-topic-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":["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_D9-7Ka2v-Fd6wrwTkgpNF","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 knowledge-topic text records (setup, usage, troubleshooting, reference) and returns baseline accuracy metrics.","exampleAgentPrompt":"Run a grouped three-fold naive-Bayes baseline evaluation on my 50 labelled knowledge articles — each has an ID, text, and one of these labels: setup, usage, troubleshooting, or reference — and tell me what accuracy score the baseline model achieves.","exampleUseCases":[{"title":"Baseline accuracy check for documentation classifier","prompt":"I have 120 labelled help-center articles tagged as setup, usage, troubleshooting, or reference. Can you run a naive-Bayes grouped three-fold evaluation on them and tell me what baseline accuracy I can expect before building a more sophisticated classifier?"},{"title":"Label quality validation for new knowledge base","prompt":"We just labelled 80 internal wiki pages as setup, usage, troubleshooting, or reference — can you evaluate how clean and separable those labels are by running a three-fold baseline cross-validation on the texts?"},{"title":"Pre-training feasibility check for topic router","prompt":"Before we invest in fine-tuning a model to route support tickets into setup, usage, troubleshooting, or reference buckets, run a cheap naive-Bayes baseline on our 200 labelled examples so we can see if the categories are even learnable from text alone."}],"resultDescription":"Returns grouped three-fold cross-validation results from a local naive-Bayes classifier trained on the supplied labelled records. Output includes per-fold and aggregate accuracy or classification metrics across the four knowledge-topic categories (setup, usage, troubleshooting, reference), giving a baseline benchmark without any hosted model or foundation-model training.","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 maxItems limit","Invalid label value in 'actual' field — must be one of: setup, usage, troubleshooting, reference","Text too long — individual text fields exceeding 1000 characters may be rejected","Insufficient class representation for three-fold grouping — too few examples per class to form valid folds","Payment not processed — x402 payment of 0.01 USDC required per call"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01) baseline evaluation of a knowledge-topic text classification task using a naive-Bayes model and three-fold cross-validation, without requiring a hosted model, API key, or foundation-model fine-tuning. It is ideal for validating label quality, estimating class separability, or benchmarking prior to investing in a more complex ML pipeline. Prefer it over hosted ML evaluation services when data privacy is a concern (local evaluation), when cost is a constraint, or when the dataset is small (up to 200 records) and you only need a simple baseline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:53:54.658Z","isFirstParty":false,"canonicalSlug":"knowledge-topic-cross-validation-grouped-three-fold-baseline-evaluation-a70b856e"}