{"uid":"cap_CPq1TYjwk6UBxTmIJS5o4","slug":"multiclass-log-loss-calculator-for-task-type-classification-6bbecf3e","name":"Multiclass Log Loss Calculator for Task Type Classification","description":"Task type - Multiclass log loss: Multiclass log loss 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 multiclass log loss deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-ml-task-type-log-loss?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"records":{"type":"array","items":{"type":"object","required":["id","text","actual","predicted","probabilities"],"properties":{"id":{"type":"string","default":"","maxLength":80,"minLength":1},"text":{"type":"string","default":"","maxLength":1000},"actual":{"enum":["research","writing","analysis","implementation"],"type":"string"},"predicted":{"enum":["research","writing","analysis","implementation"],"type":"string"},"probabilities":{"type":"array","items":{"type":"number","default":0,"maximum":1,"minimum":0},"default":[],"maxItems":4,"minItems":4}},"additionalProperties":false},"default":[{"id":"example-0-0","text":"research sample document number 0 for this supplied 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multiclass log loss for a task-type text classifier (research/writing/analysis/implementation) given up to 200 labelled records with predicted probabilities.","exampleAgentPrompt":"Calculate the multiclass log loss for my task-type classifier — I have 50 labelled text records, each tagged as research, writing, analysis, or implementation, and I can provide the predicted class and a 4-element probability vector for each one.","exampleUseCases":[{"title":"NLP model evaluation before deployment","prompt":"I just trained a text classifier that tags documents as research, writing, analysis, or implementation. Can you compute the multiclass log loss over these 80 labelled test records — I have the actual labels, predicted labels, and probability scores for each?"},{"title":"Comparing classifier calibration quality","prompt":"I want to check how well-calibrated my task-type classifier is. Here are 120 records with actual labels and predicted probabilities across all four categories — research, writing, analysis, implementation — can you give me the log loss?"},{"title":"Rapid baseline model benchmarking","prompt":"I built a naive Bayes baseline for classifying task types and want to know the log loss. I have 30 sample records with actual and predicted labels plus the four-class probability distributions — can you run the multiclass log loss calculation?"}],"resultDescription":"Returns a bounded multiclass log loss value computed from the supplied labelled records, their actual class labels, and the predicted probability vectors across the four task-type categories (research, writing, analysis, implementation). The deliverable is a single log loss metric quantifying classifier quality.","failureModes":["Probability vectors that do not sum to 1 or contain values outside [0,1] may cause validation errors","Supplying fewer than the required fields (id, text, actual, predicted, probabilities) per record will cause schema rejection","Exceeding the 200-record limit will be rejected","Probability arrays with fewer or more than 4 elements will fail validation","Invalid enum values for actual or predicted fields (outside the four allowed classes) will be rejected"],"whenToPreferThis":"Choose this endpoint when you need a quick, cheap ($0.01 USDC) multiclass log loss computation for a 4-class task-type text classifier (research/writing/analysis/implementation) without needing a hosted model or foundation-model training. It is ideal for evaluating classifier output from your own model using local datasets of up to 200 records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-15T12:39:20.613Z","isFirstParty":false,"canonicalSlug":"multiclass-log-loss-calculator-for-task-type-classification-6bbecf3e"}