{"uid":"cap_m1m00t24_m1JqJ4h3xG0b","slug":"commerce-intent-fixed-holdout-learning-curve-7e7af6e0","name":"Commerce Intent Fixed-Holdout Learning Curve","description":"Commerce intent - Fixed-holdout learning curve: Fixed-holdout learning curve for Commerce intent. 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-commerce-intent-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":["browse","purchase","return","other"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"browse sample document number 0 for this supplied dataset.","actual":"browse"},{"id":"example-0-1","text":"browse sample document number 1 for this supplied dataset.","actual":"browse"},{"id":"example-0-2","text":"browse sample document number 2 for this supplied dataset.","actual":"browse"},{"id":"example-1-0","text":"purchase sample document number 0 for this supplied dataset.","actual":"purchase"},{"id":"example-1-1","text":"purchase sample document number 1 for this supplied dataset.","actual":"purchase"},{"id":"example-1-2","text":"purchase sample document number 2 for this supplied dataset.","actual":"purchase"},{"id":"example-2-0","text":"return sample document number 0 for this supplied dataset.","actual":"return"},{"id":"example-2-1","text":"return sample document number 1 for this supplied dataset.","actual":"return"},{"id":"example-2-2","text":"return sample document number 2 for this supplied dataset.","actual":"return"},{"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 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a fixed-holdout learning curve for a commerce intent classifier (browse/purchase/return/other) using up to 200 labelled text records with naive-Bayes baselines.","exampleAgentPrompt":"Run a fixed-holdout learning curve on my commerce intent dataset — here are 120 labelled records each tagged as browse, purchase, return, or other — and show me how the naive-Bayes baseline accuracy changes with training set size.","exampleUseCases":[{"title":"Assess data sufficiency for intent model","prompt":"I have 80 labelled customer messages tagged as browse, purchase, return, or other — can you run a fixed-holdout learning curve so I can see whether I need more training data before building a real commerce intent classifier?"},{"title":"Benchmark ecommerce chatbot intent labels","prompt":"We just finished labelling 150 support chat messages with commerce intents (browse, purchase, return, other) and I want to see a naive-Bayes learning curve to baseline how well the labels are working — can you compute that for me?"},{"title":"Evaluate label quality before model training","prompt":"Before we invest in fine-tuning a large model, run a fixed-holdout learning curve on these 200 product-page interaction texts labelled as browse, purchase, return, or other so we can see the accuracy trajectory and decide if the dataset is ready."}],"resultDescription":"A fixed-holdout learning curve deliverable showing how a naive-Bayes classifier's performance (accuracy or similar metric) changes as the number of training samples increases, evaluated on a held-out split of the supplied labelled text records with commerce intent labels (browse, purchase, return, other).","failureModes":["Fewer than 2 records supplied — minimum input not met","Records missing required fields (id, text, actual) — validation error","More than 200 records submitted — exceeds maxItems limit","Invalid 'actual' label value outside enum (browse/purchase/return/other)","Insufficient class diversity for meaningful learning curve (e.g. all one class)","Payment not processed — x402 payment required at $0.01 USDC"],"whenToPreferThis":"Choose this endpoint when you need a quick, low-cost diagnostic on a small labelled commerce intent dataset (up to 200 records) to understand how classifier accuracy scales with training size, without needing a hosted model or foundation-model fine-tuning. Ideal for data sufficiency checks, label quality audits, and baseline benchmarking in ecommerce NLP pipelines.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:43.537Z","isFirstParty":false,"canonicalSlug":"commerce-intent-fixed-holdout-learning-curve-7e7af6e0"}