{"uid":"cap_5mtJ8YhgfQossz3ZXFX4E","slug":"project-status-per-label-precision-and-recall-f34786fc","name":"Project Status Per-Label Precision and Recall","description":"Project status - Per-label precision and recall: Per-label precision and recall for Project status. 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 per-label precision and recall deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-project-status-per-label?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual","predicted"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["planned","active","blocked","complete"],"type":"string"},"predicted":{"enum":["planned","active","blocked","complete"],"type":"string"}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"planned sample document number 0 for this supplied dataset.","actual":"planned","predicted":"planned"},{"id":"example-0-1","text":"planned sample document number 1 for this supplied dataset.","actual":"planned","predicted":"planned"},{"id":"example-0-2","text":"planned sample document number 2 for this supplied dataset.","actual":"planned","predicted":"planned"},{"id":"example-1-0","text":"active sample document number 0 for this supplied dataset.","actual":"active","predicted":"active"},{"id":"example-1-1","text":"active sample document number 1 for this supplied dataset.","actual":"active","predicted":"active"},{"id":"example-1-2","text":"active sample document number 2 for this supplied dataset.","actual":"active","predicted":"active"},{"id":"example-2-0","text":"blocked sample document number 0 for this supplied dataset.","actual":"blocked","predicted":"blocked"},{"id":"example-2-1","text":"blocked sample document number 1 for this supplied dataset.","actual":"blocked","predicted":"blocked"},{"id":"example-2-2","text":"blocked sample document number 2 for this supplied dataset.","actual":"blocked","predicted":"blocked"},{"id":"example-3-0","text":"complete sample document number 0 for this supplied dataset.","actual":"complete","predicted":"complete"},{"id":"example-3-1","text":"complete sample document number 1 for this supplied dataset.","actual":"complete","predicted":"complete"},{"id":"example-3-2","text":"complete sample document number 2 for this supplied dataset.","actual":"complete","predicted":"complete"}],"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_9KJUqDBKKuFNm8TAoXwoF","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 per-label precision and recall metrics for a project-status text classifier using up to 200 supplied labelled records.","exampleAgentPrompt":"I have 150 labelled project status records — each with the actual label and my model's predicted label across planned, active, blocked, and complete — can you compute the per-label precision and recall so I can see where the classifier is underperforming?","exampleUseCases":[{"title":"Diagnosing blocked-class recall drops","prompt":"My project status classifier seems to miss a lot of 'blocked' items — I have 120 records with actual and predicted labels. Can you compute per-label precision and recall so I can confirm whether blocked recall is the problem?"},{"title":"Validating a new classifier before deployment","prompt":"Before we ship our project status model, I want to verify it performs well on all four categories. Here are 200 labelled samples with actual and predicted values — give me the per-label precision and recall for planned, active, blocked, and complete."},{"title":"Comparing model iterations on project status","prompt":"I retrained my project status text classifier and have 80 labelled test records. Can you calculate per-label precision and recall across planned, active, blocked, and complete so I can compare this version to our baseline?"}],"resultDescription":"A bounded per-label precision and recall report covering each of the four project status classes (planned, active, blocked, complete), derived from up to 200 supplied labelled text records with actual and predicted labels.","failureModes":["Fewer than the minimum required labelled records provided — returns error or degenerate metrics","Records missing required fields (id, text, actual, predicted) — validation error","Labels outside the allowed enum (planned, active, blocked, complete) — rejected input","Exceeding 200 records limit — request truncated or rejected","Empty records array — no metrics computable"],"whenToPreferThis":"Choose this endpoint when you need fast, low-cost per-label precision and recall evaluation for a project-status text classifier without a hosted model or foundation-model training requirement. Ideal for lightweight diagnostic passes on small labelled datasets (≤200 records) where you want label-level insight into classifier errors across planned, active, blocked, and complete categories.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T18:47:49.484Z","isFirstParty":false,"canonicalSlug":"project-status-per-label-precision-and-recall-f34786fc"}