{"uid":"cap_hlzPbileb7zDYloRbksga","slug":"task-type-fixed-holdout-learning-curve-965034bd","name":"Task Type Fixed-Holdout Learning Curve","description":"Task type - Fixed-holdout learning curve: Fixed-holdout learning curve for Task type. 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-task-type-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":["research","writing","analysis","implementation"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"research sample document number 0 for this supplied dataset.","actual":"research"},{"id":"example-0-1","text":"research sample document number 1 for this supplied dataset.","actual":"research"},{"id":"example-0-2","text":"research sample document number 2 for this supplied dataset.","actual":"research"},{"id":"example-1-0","text":"writing sample document number 0 for this supplied dataset.","actual":"writing"},{"id":"example-1-1","text":"writing sample document number 1 for this supplied dataset.","actual":"writing"},{"id":"example-1-2","text":"writing sample document number 2 for this supplied dataset.","actual":"writing"},{"id":"example-2-0","text":"analysis sample document number 0 for this supplied dataset.","actual":"analysis"},{"id":"example-2-1","text":"analysis sample document number 1 for this supplied dataset.","actual":"analysis"},{"id":"example-2-2","text":"analysis sample document number 2 for this supplied dataset.","actual":"analysis"},{"id":"example-3-0","text":"implementation sample document number 0 for this supplied dataset.","actual":"implementation"},{"id":"example-3-1","text":"implementation sample document number 1 for this supplied dataset.","actual":"implementation"},{"id":"example-3-2","text":"implementation sample document number 2 for this supplied dataset.","actual":"implementation"}],"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_1oqDlka88Ku00yayV4dWa","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 text classifier that predicts task type (research, writing, analysis, implementation) from up to 200 labelled text records.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my task-type dataset — I have about 50 labelled documents split across research, writing, analysis, and implementation categories, and I want to see how classifier accuracy changes as training size grows.","exampleUseCases":[{"title":"Estimating data needs for task classifier","prompt":"I have 80 labelled documents — some tagged as research, some as writing, analysis, or implementation — and I want a learning curve showing how a naive-Bayes classifier improves as I add more training examples. Can you run the fixed-holdout evaluation for me?"},{"title":"Benchmarking classifier before scaling labelling effort","prompt":"Before I pay people to label thousands of documents by task type, can you run a learning curve on my existing 120 labelled records to see if accuracy plateaus early? The labels are research, writing, analysis, and implementation."},{"title":"Comparing classification difficulty across task types","prompt":"I've got 150 text snippets labelled as research, writing, analysis, or implementation and I want to understand how well a simple classifier separates them — can you generate a fixed-holdout learning curve so I can see where it struggles?"}],"resultDescription":"A bounded fixed-holdout learning curve deliverable showing how naive-Bayes classification accuracy on the held-out test set changes as the number of training examples increases, computed locally from the supplied labelled text records across the four task type categories.","failureModes":["Fewer than 2 records supplied — minimum input requirement not met","Record text exceeds 1000 character limit — truncation or rejection","Invalid or missing 'actual' label not in enum (research, writing, analysis, implementation)","Too few examples per class to construct a meaningful learning curve","Duplicate or missing record IDs causing data integrity issues","Payment not processed — x402 payment required before response"],"whenToPreferThis":"Choose this endpoint when you have a small set of labelled text documents (up to 200) classified into task types (research, writing, analysis, implementation) and want to understand how classifier performance scales with training data using a simple naive-Bayes baseline — without needing a hosted model or foundation model. Ideal for feasibility checks before investing in larger labelling efforts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:49.778Z","isFirstParty":false,"canonicalSlug":"task-type-fixed-holdout-learning-curve-965034bd"}