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Cancellation Reason Fixed-Holdout Learning Curve
x402
Cancellation Reason Fixed-Holdout Learning Curve is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Generates a fixed-holdout learning curve for a labelled cancellation-reason text dataset using a naive-Bayes classifier, showing how accuracy scales with training set size.
Price / call$0.01
Success—
StatusUnknown
How this service works
Cancellation reason - Fixed-holdout learning curve: Fixed-holdout learning curve for Cancellation reason. 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.
Output
Returns a fixed-holdout learning curve report showing classifier accuracy (and related metrics) at successive training set sizes using a naive-Bayes baseline, evaluated against a held-out portion of the supplied labelled records. No hosted model is trained; results are local and bounded to the submitted dataset.
Example use cases
Churn reason classifier data sufficiency check
“I have 150 customer cancellation survey responses labelled as price, usage, quality, or other — can you run a fixed-holdout learning curve to tell me whether I have enough data for a reliable classifier?”
Baseline accuracy benchmark for product team
“Run a naive-Bayes learning curve on these 120 cancellation reason texts labelled price, usage, quality, and other so I can show the product team what baseline accuracy looks like before we invest in a bigger model.”
Diagnosing underfitting in cancellation classification
“I only have 40 labelled cancellation records across price, usage, quality, and other — can you compute a fixed-holdout learning curve to see if the model is underfitting due to limited data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-ml-cancellation-reason-learning-curve?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, cheap ($0.01) learning curve diagnostic for a small cancellation-reason text dataset (up to 200 records) using a naive-Bayes baseline, without needing a hosted model or access to a foundation model. Ideal for feasibility checks, data-sufficiency analysis, and benchmarking before committing to a larger ML pipeline. Not suitable for production model training or datasets exceeding 200 records.
Side effects
- Fewer than 2 records supplied — minimum record count not met
- Record text exceeds 1000 characters — field length violation
- Invalid 'actual' label value outside enum (price/usage/quality/other)
- More than 200 records submitted — exceeds maxItems limit
- Missing required fields (id, text, actual) on any record
- Payment of 0.01 USDC not completed — x402 payment required
- Insufficient class diversity to compute meaningful learning curve
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| records | array |
Tags
x402
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